AI Engineer Jobs

We are looking for skilled Gen AI / Agentic AI Engineers and Leads to join our growing AI team. The ideal candidate will have hands-on experience in building, deploying, and scaling Generative AI and Agentic AI solutions using modern LLM frameworks, vector databases, cloud platforms, and MLOps practices. The role involves developing enterprise-grade AI applications, intelligent automation systems, and scalable AI architectures.Key Responsibilities:Design, develop, and deploy Generative AI and Agentic AI applications for enterprise use cases.Build multimodal AI solutions involving text, image, and document processing.Develop and optimize GenAI pipelines, including data preprocessing, model training, evaluation, and deployment.Implement LLM orchestration using LangChain, LlamaIndex, Hugging Face Transformers, AutoGen, and OpenAI APIs.Develop Retrieval-Augmented Generation (RAG) systems with efficient chunking, embeddings, cross-encoders, and hybrid search techniques.Manage and optimize vector databases such as Pinecone, Weaviate, ChromaDB, FAISS, and Milvus.Implement MLOps and LLMOps practices, including CI/CD pipelines, model monitoring, automated testing, and drift detection.Work on prompt engineering and parameter-efficient fine-tuning techniques such as LoRA and QLoRA.Integrate AI models with enterprise systems using REST APIs, GraphQL, Kafka, and microservices architecture.Deploy AI workloads across AWS, Azure, or GCP using Docker, Kubernetes, and serverless technologies.Collaborate with cross-functional teams to develop scalable and production-ready AI solutions.Required Skills & Qualifications:Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field.4-8 years of experience in Generative AI, Machine Learning, Software Engineering, or related domains.Strong hands-on experience in Generative AI and Agentic AI development.Proficiency in Python and modern AI/ML frameworks.Strong knowledge of LLMs, RAG architectures, Vector Databases, and Prompt Engineering.Experience with LangChain, LlamaIndex, Hugging Face, AutoGen, or similar frameworks.Experience deploying AI solutions on AWS, Azure, or GCP.Knowledge of scalable AI architecture, enterprise integrations, and microservices.Familiarity with MLOps, LLMOps, CI/CD, Docker, and Kubernetes.Strong problem-solving, analytical, and communication skills.Willingness to work from office 5 days a week.

We are looking for an experienced AI Engineer to join our team in Noida Sector 104. The ideal candidate will have 2 to 5 years of experience and a diploma in a relevant field. This role is open to male candidates and requires physical presence in the office.Key Responsibilities:1. AI Model Development: You will create and improve machine learning models that help solve real-world problems. This includes data preprocessing, feature engineering, and model evaluation.2. Algorithm Implementation: You will apply various algorithms and techniques to enhance the performance of AI systems. Understanding and selecting appropriate algorithms based on project needs is crucial.3. Data Analysis: You will analyze large datasets to extract insights and inform model improvements. Your ability to work with structured and unstructured data will be key to your success.4. Collaboration: You will work closely with cross-functional teams, including data scientists and software developers, to integrate AI models into existing systems and applications.5. Documentation: You will document your work thoroughly, including model designs, processes, and findings, to ensure knowledge sharing and project continuity.Required Skills:- Strong programming skills in languages such as Python or Java.- Experience with machine learning frameworks like TensorFlow or PyTorch.- Proficiency in data manipulation and analysis using libraries such as Pandas or NumPy.- Good understanding of statistical analysis and algorithms.- Effective communication skills to explain complex technical concepts to non-technical stakeholders.

As an AI Engineer in Pune, you will be responsible for developing and implementing AI models and algorithms to solve complex problems. You will work closely with cross-functional teams to create innovative solutions that enhance the company's products and services.Key Responsibilities:- Develop AI Models: Create and deploy machine learning models that meet project requirements, utilizing frameworks like TensorFlow or PyTorch.- Data Analysis and Processing: Analyze large datasets to extract insights and preprocess data to ensure it is suitable for training AI models.- Collaborate with Teams: Work with software engineers and data scientists to integrate AI solutions into existing systems, ensuring seamless functionality.- Performance Tuning: Regularly evaluate the performance of AI models and tune them for better accuracy and efficiency based on feedback and evolving data.- Stay Updated on Trends: Keep abreast of the latest developments in artificial intelligence and machine learning to continually improve processes and techniques.Required Skills and Expectations:- A bachelor's or master's degree in Computer Science, Data Science, or a related field is essential.- A minimum of 3 to 5 years of experience in AI or related fields, demonstrating a strong understanding of machine learning concepts.- Proficiency in programming languages such as Python or Java, along with experience in machine learning libraries and tools.- Strong analytical skills with the ability to interpret data and provide actionable insights.- Excellent communication skills to explain complex AI concepts to non-technical stakeholders and collaborate effectively with teams.

We are seeking an AI Engineer with 1 to 2 years of experience to join our team in Bangalore. This role focuses on developing innovative AI solutions to help improve our products and services.Key Responsibilities:- Develop AI Models: Create and optimize machine learning and deep learning models to meet project needs, ensuring they are efficient and effective.- Data Analysis: Analyze and preprocess large datasets to extract valuable insights that inform model development, ensuring data quality and relevance.- Algorithm Implementation: Implement advanced algorithms and techniques in AI and machine learning to solve specific business challenges, adapting approaches as necessary.- Collaboration: Work closely with data scientists, software engineers, and other team members to integrate AI solutions into existing systems, ensuring seamless operation.- Performance Evaluation: Monitor and evaluate the performance of AI models, making adjustments and improvements to enhance their accuracy and efficiency.- Documentation: Maintain clear documentation of AI processes and methodologies, ensuring knowledge sharing within the team.Required Skills and Expectations:- Proficiency in programming languages such as Python or R is essential for model development and data manipulation.- Familiarity with popular machine learning frameworks like TensorFlow, Keras, or PyTorch is expected to build and deploy AI models.- Strong understanding of statistics and data analysis techniques that aid in model training and evaluation.- Excellent problem-solving skills with a passion for AI technology and its applications in real-world scenarios.- Ability to work effectively in a team environment, communicate clearly, and contribute positively to collaborative projects.

Key ResponsibilitiesDesign, develop, and implement machine learning models and AI solutions.Build and optimize data pipelines for model training, validation, and deployment.Analyze large datasets to identify patterns, trends, and business insights.Develop, test, and deploy predictive, classification, recommendation, and generative AI models.Monitor model performance and retrain models as needed to maintain accuracy.Collaborate with cross-functional teams to integrate AI solutions into products and business processes.Apply best practices for data quality, model governance, security, and scalability.Research and evaluate emerging AI/ML technologies, tools, and frameworks.Document model architecture, development processes, and technical specifications.Ensure AI solutions comply with ethical, legal, and organizational guidelines.

ROLE OVERVIEWYou will be responsible for building, maintaining and productionizing the backend infrastructure of VAMS ATLAS.The platform must support:* Deterministic scientific computation* Reproducible pipeline execution* Immutable/versioned reference artifacts* PostgreSQL-backed registries* Asynchronous computational workloads* API services* Audit trails and provenance* Evidence and entitlement gating* Report generation contracts* Cloud object storage* Production observability* Secure integration with frontend applicationsCORE RESPONSIBILITIES1. Backend API DevelopmentDevelop and maintain backend services and APIs supporting the VAMS BIOME ecosystem.2. PostgreSQL & Data ArchitectureOwn and extend the ATLAS PostgreSQL data layer. The engineer will work with registries covering areas such as:* samples* sequencing runs* analysis runs* score definitions* panels* conditions* reference cohorts* reference artifact sets* pipeline/version metadata* QC flags* confidence penalties* report outputs* audit recordsScientific outputs must remain traceable to the exact configuration and artifacts from which they were generated.3. Reference Artifact RegistryImplement and maintain the VAMS ATLAS Reference Artifact Registry.4. Deterministic Reference SelectionImplement deterministic selection of reference cohorts/artifacts based on analysis context.5. Analysis Run OrchestrationBuild and maintain the execution layer connecting backend services with computational/bioinformatics pipelines.The engineer is not expected to invent microbiome algorithms.Bioinformatics and scientific teams define biological processing and interpretation logic.The backend engineer makes these pipelines reliable, deterministic, scalable and auditable.6. Two-Mode Execution ArchitectureThe platform maintains strict separation on Cohort Build ModeUsed offline to construct and register approved reference artifacts.7. Auditability & ProvenanceEvery ATLAS run must generate sufficient provenance to reconstruct the analysis.Where appropriate, computational outputs should have integrity hashes.A historical report should be traceable back to its computational inputs and configuration.8. Scientific Governance EnforcementThe backend is responsible for enforcing scientific governance supplied by the scientific/Founders Office configuration.9. Reporting BackendDevelop structured report objects by:* VAMS ATLAS web applications* downloadable reports* clinician-facing interfaces* future mobile applications* analytics and internal systems10. Cloud & InfrastructureHelp operate and evolve the cloud execution architecture.Expected areas include:* AWS* S3/object storage* containerized workloads* Docker* Asynchronous jobs/queues* Worker infrastructure* CI/CD* Environment management* Secrets management* Log/ Monitor* Health checksExperience with one or more of the following is valuable:* AWS Batch* ECS/Fargate* Step Functions* Lambda* SQS* EventBridge* CloudWatchEquivalent production cloud experience is acceptable.11. Security & Production EngineeringImplement secure engineering practices across the backend.Experience working with health, genomic or other sensitive datasets is advantageous.REQUIRED TECHNICAL SKILLSCandidates should have strong practical experience with most of the following:Backend* Python* FastAPI or comparable modern Python API framework* Pydantic / schema validation* REST API design* asynchronous/background processingDatabase* PostgreSQL* SQL* relational schema design* migrations* constraints and indexes* transactional systems* JSON/JSONBInfrastructure* Docker* Linux* Git / GitHub* CI/CD* AWS or equivalent cloud infrastructure* object storage such as S3* environment and secrets managementEngineering* Automated testing* API testing* Integration testing* Structured logging* Exception handling* Idempotent operations* Versioning* Reproducible executionSTRONGLY PREFERRED EXPERIENCECandidates with experience in any of the following will be particularly valuable:* Bioinformatics* Genomics* Microbiome data* Scientific computing* Health-tech* Clinical software* Laboratory data systems* Workflow orchestration* Data engineering* ML/data pipelines* Reproducible computational pipelinesFamiliarity with concepts such as FASTQ, sequencing pipelines, reference databases or computational provenance is advantageous but not mandatory.Important Role BoundaryThis position owns engineering implementation, not independent scientific decision-making.The Backend / Platform Engineer should not independently:* Invent microbiome scoring formulas* Modify biological thresholds* Change evidence tiers* Determine whether datasets are scientifically valid* Redefine condition mappings* Reinterpret microbiome biology* Modify scientific recommendationsThose decisions are supplied through governed scientific specifications.The engineers responsibility is to ensure those specifications are implemented correctly, deterministically, securely and audibly.What Success Looks LikeWithin the first few months, the successful engineer should be able to demonstrate that:1. ATLAS backend services can reliably execute production analysis workflows.2. Every analysis run is versioned and auditable.3. Historical analyses can identify the exact reference artifacts used.4. Reference artifacts cannot be accidentally modified by production user workflows.5. Scientific gating is enforced server-side.6. Backend APIs expose stable contracts to frontend applications.7. Failed computational jobs can be diagnosed and recovered safely.8. Automated tests cover critical backend and governance rules.9. Production services have appropriate logging, monitoring and health checks.10. The platform can scale from Phase-1 operations toward substantially larger sample volumes without architectural replacement.Candidate ProfileWe are particularly interested in engineers who enjoy building systems where correctness matters more than simply shipping endpoints.You may be a good fit if you:* Think carefully about system boundaries* Understand database integrity* Prefer deterministic systems over hidden behavior* Write testable code* Document architectural decisions* Are comfortable reading technical/scientific specifications* Can work independently* Can challenge ambiguous requirements constructively* Understand that scientific software requires stronger provenance than ordinary consumer applicationsMinimum Qualifications* Bachelors degree in Computer Science, Software Engineering, Information Technology or related discipline, or equivalent demonstrated engineering experience* Approximately 3+ years of professional backend/software engineering experience* Strong Python skills* Strong PostgreSQL/SQL skills* Experience building production APIs* Experience with Docker and Git* Experience deploying or operating cloud-based systems* Good understanding of software testing and production debuggingPreferred Qualifications* 4-6+ years backend/platform experience* FastAPI production experience* AWS architecture experience* Workflow/orchestration experience* Bioinformatics or computational biology exposure* Experience handling sensitive health/scientific data* Experience building reproducible data-processing systems* Infrastructure-as-code experience* Strong automated testing practices* Experience with observability and production incident debuggingWHAT TO SUBMITInterested candidates should submit the ff:* Resume/CV* GitHub profile or examples of previous technical work where available* Brief description of a backend/platform system they personally designed or substantially implemented* Technologies used* Their specific contribution to the architectureShortlisted candidates will complete a technical discussion and practical architecture/coding assessment focused on backend engineering, PostgreSQL, APIs, deterministic processing and production system design.

Hiring an AI Developer with 5+ years of experience in Python, GenAI, LLMs, FastAPI, Prompt Engineering, and Agentic AI to build scalable, production-ready AI solutions, AWS Bedrock / Amazon SageMaker.

Develop and maintain web applications using React.js and Node.js.Design, deploy, and manage applications on AWS.Build and integrate AI-powered features and APIs.Develop RESTful APIs and ensure application performance and scalability.Collaborate with cross-functional teams to deliver high-quality solutions.

About the RoleSCS Universal Tech Private Limited is looking for a passionate and innovative AI Engineer to join our growing technology team. The ideal candidate will have 1-3 years of hands-on experience in designing, developing, and deploying AI/ML solutions. You will work closely with cross-functional teams to build intelligent applications that solve real-world business problems using machine learning, deep learning, and Generative AI technologies.Key ResponsibilitiesDesign, develop, and deploy AI and Machine Learning models for business applications.Build, train, evaluate, and optimize machine learning algorithms.Develop NLP, Computer Vision, or Generative AI solutions based on project requirements.Integrate AI models into production applications and APIs.Perform data preprocessing, feature engineering, and model evaluation.Work with structured and unstructured datasets.Collaborate with software developers, product managers, and business stakeholders.Monitor model performance and continuously improve accuracy and efficiency.Research emerging AI technologies and recommend innovative solutions.Maintain technical documentation and follow coding best practices.Required Technical SkillsStrong knowledge of Python programming.Experience with Machine Learning libraries such as Scikit-learn, TensorFlow, or PyTorch.Knowledge of Large Language Models (LLMs) and Generative AI concepts.Experience with NLP frameworks such as Hugging Face Transformers.Familiarity with LangChain or LlamaIndex.Understanding of Retrieval-Augmented Generation (RAG) concepts.Experience working with REST APIs.Knowledge of SQL and NoSQL databases.Familiarity with Git version control.Understanding of Docker and basic cloud platforms (AWS, Azure, or GCP).Preferred SkillsExperience with OpenAI APIs or similar LLM platforms.Knowledge of vector databases such as Pinecone, FAISS, ChromaDB, or Weaviate.Experience deploying AI applications using FastAPI or Flask.Exposure to MLOps concepts and CI/CD pipelines.Understanding of prompt engineering and AI model optimization.QualificationsBachelor's or Master's degree in Computer Science, Artificial Intelligence, Information Technology, Data Science, or a related discipline.Strong analytical and problem-solving skills.Good understanding of software engineering principles.Excellent verbal and written communication skills.Experience1-3 years of professional experience in AI/ML development.Hands-on experience developing and deploying AI applications.Experience working in Agile/Scrum environments is preferred.Tools & TechnologiesPythonTensorFlowPyTorchScikit-learnHugging FaceLangChainLlamaIndexOpenAI APIFastAPIFlaskDockerGitSQLMongoDBAWS/Azure/GCPBehavioral CompetenciesStrong problem-solving and analytical thinking.Ability to work collaboratively in a team environment.Self-motivated and eager to learn emerging AI technologies.Good communication and stakeholder management skills.Attention to detail and commitment to delivering high-quality solutions.Why Join SCS Universal Tech Private Limited?Work on cutting-edge AI and Generative AI projects.Opportunity to learn and grow with experienced professionals.Collaborative and innovation-driven work culture.Exposure to modern AI technologies and enterprise solutions.Career growth opportunities in Artificial Intelligence and Machine Learning.Equal Opportunity EmployerSCS Universal Tech Private Limited is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Employment decisions are based on qualifications, merit, and business needs without regard to race, religion, gender, age, disability, or any other protected status.

Job Description - Robotics TrainerPosition: Robotics TrainerLocation: RaipurExperience: 1-3 YearsYoungovator Education Pvt. Ltd. is looking for a passionate and enthusiastic Robotics Trainer to inspire students through hands-on learning in Robotics, STEM, AI, and Coding. The ideal candidate should have strong technical knowledge, excellent communication skills, and a passion for teaching and mentoring young innovators.Key Responsibilities:Conduct engaging Robotics, STEM, AI, IoT, and Coding sessions for school students.Train students using Arduino, ESP32, Raspberry Pi, sensors, actuators, and robotics kits.Guide students in designing, building, and programming innovative robotics projects.Prepare lesson plans, assessments, and project documentation.Mentor students for exhibitions, competitions, and innovation challenges.Maintain robotics lab equipment and ensure a safe learning environment.Coordinate with schools, teachers, and the internal team for smooth execution of training programs.Required Skills:Strong knowledge of Robotics, Electronics, Embedded Systems, AI, IoT, and STEM concepts.Hands-on experience with Arduino, ESP32, Raspberry Pi, sensors, motors, and electronic components.Proficiency in Python and C/C++ programming.Excellent communication, presentation, and classroom management skills.Creative thinking, problem-solving ability, and willingness to travel.Qualification: Bachelor's degree in Engineering (Electronics, Electrical, Mechanical, Computer Science, Robotics, or related field). Prior experience in Robotics/STEM training is preferred. Immediate joiners will be given preference.

Chief Platform Architect - BIM Automation & AI Automation AEC VDC Experience: For Durgapur India

Need 100+ AI engineers for job in a new company in Hyderabad. Apply here, minimum package size: 10L to 15L

About the RoleWe are seeking a talented Blockchain Developer to join our team and contribute to the development of our decentralized platform. In this role, you will focus on creating and optimizing smart contracts, integrating blockchain features, and ensuring the platform operates efficiently and securely. You will work closely with both frontend and backend teams to build scalable, secure, and performant blockchain solutions.What You Will Do Design, develop, and deploy smart contracts for token management, staking, and decentralized finance (DeFi) functionalities. Integrate Uniswap V2/V3 SDK and third-party protocols like GMX or dYdX for seamless decentralized trading features. Collaborate with cross-functional teams to integrate blockchain technology with frontend and backend systems. Optimize smart contract gas efficiency, performance, and security.Write secure, maintainable, and gas-efficient smart contract code, ensuring comprehensive test coverage and audit readiness. Ensure secure token swaps, staking interactions, and liquidity pool management across the platform.Responsibilities Develop and deploy smart contracts, including token contracts, staking contracts, and DeFi features. Integrate blockchain functionality with the frontend using ethers.js or viem. Implement decentralized trading using Uniswap V2/V3 and GMX/dYdX for perpetual trading. Optimize the platforms blockchain infrastructure for scalability and security. Ensure smooth integration of decentralized storage solutions and token management across the platform.Requirements 3+ years of experience as a Blockchain Developer, with strong expertise in Solidity and Ethereum. Hands-on experience with Uniswap V2/V3 SDK and integrating DeFi protocols like GMX or dYdX. Strong understanding of blockchain principles, consensus algorithms, and security best practices. Experience with Hardhat or Foundry for smart contract testing and deployment. Proficiency with ethers.js or viem for blockchain interaction and frontend integration. Experience with Slither or other static analysis tools for contract audits and security.

Job Title: Senior Full Stack Developer with AI ExperienceExperience: 6-7 YearsLocation: [Bhubaneswar]Job Summary:We are seeking an experienced Senior Full Stack Developer with expertise in AI integration and modern web technologies. The ideal candidate should have strong experience in designing, developing, and deploying scalable applications along with integrating AI/ML solutions to enhance business processes and user experiences.Key Responsibilities:Design, develop, and maintain scalable full stack applications.Lead frontend and backend development projects.Build secure and high-performance REST APIs and microservices.Integrate AI/ML models, automation tools, and intelligent features into applications.Collaborate with product managers, designers, and development teams.Optimize application performance, scalability, and security.Mentor junior developers and review code quality.Participate in architecture planning and technical decision-making.Troubleshoot complex technical issues and ensure smooth deployment.Required Skills:Strong expertise in React.js, Angular, or Vue.js.Proficiency in backend technologies such as Node.js, Python, Java, or PHP.Experience with databases like MySQL, PostgreSQL, MongoDB, etc.Hands-on experience with cloud platforms (AWS, Azure, or GCP).Strong understanding of REST APIs, microservices, and system architecture.Experience with Git, Docker, CI/CD pipelines, and DevOps practices.Knowledge of AI/ML integration and working with AI APIs/frameworks.Strong problem-solving and leadership abilities.Preferred Qualifications:Experience with OpenAI APIs, TensorFlow, PyTorch, or LangChain.Knowledge of scalable AI-powered application development.Familiarity with Agile/Scrum methodologies.Experience leading technical teams or projects.Benefits:Work on cutting-edge AI-driven products.Collaborative and innovative work environment.Career growth opportunities.Competitive salary and benefits package.

We are looking for an AI Engineer to join our team in Bangalore. This role is suitable for candidates with 0 to 5 years of experience. As an AI Engineer, your primary focus will be on developing and implementing artificial intelligence models and systems.Key Responsibilities:- Develop AI Models: Create and enhance AI models to solve specific problems, ensuring they are effective and efficient.- Data Analysis: Analyze large data sets to extract meaningful patterns and insights, which are crucial for training AI systems.- Collaboration: Work closely with software developers and data scientists to integrate AI solutions into existing applications and platforms.- Testing and Validation: Conduct tests on models to evaluate their performance, making necessary adjustments to improve accuracy.- Documentation: Maintain clear documentation of processes, models, and findings, facilitating knowledge sharing within the team.Required Skills and Expectations:Candidates should have a solid understanding of programming languages such as Python or Java, as these are essential for model development. Familiarity with machine learning frameworks like TensorFlow or PyTorch is crucial for building robust AI solutions. A strong analytical mindset and problem-solving abilities are key traits we expect. Additionally, it is important for candidates to communicate effectively, as collaboration with team members is pivotal. While prior experience is beneficial, a keen interest in artificial intelligence and a willingness to learn are equally valued. Candidates should have completed at least their 12th grade education.

Senior AI Engineer Job RequirementsExperience: 5 - 8 yearsNo. of Positions: 4Budget: 1,25,000/- Per monthPrimary SkillsAI/MLsuch as AWS/Azure/GCP Solutions Architect TO GAF Certified Kubernetes Administrator with exposure to Lean Six SigmaJob DescriptionAbout the roleWe are looking for a Senior AI Engineer with strong full-stack engineering and AI solution development expertise to architect, build, and scale enterprise-grade intelligent solutions. This role requires a blend of hands-on technical leadership, solution architecture, and AI implementation experience, with the ability to translate business requirements into secure, scalable, and production-ready applications.The ideal candidate will bring deep expertise in AI-enabled software engineering, system integration, cloud-native development, and DevOps practices, with a strong focus on accelerated delivery through modern engineering methodologies, automation, and continuous improvement. Experience in deploying AI/ML models into enterprise environments, working across cross-functional teams, and driving innovation while maintaining governance, security, and long-term maintainability will be key to success.What You Bring You have 5+ years of experience in software engineering, enterprise application development, or solution architecture, with hands-on exposure to AI/ML-driven solutions. You bring strong development expertise in technologies such as Python, Java, TypeScript, or Go. You have practical experience integrating AI or machine learning capabilities into enterprise applications or digital platforms. You are comfortable working with cloud platforms such as AWS, Azure, or Google Cloud. You understand APIs, microservices, distributed systems, containerization, and modern integration patterns. You have experience using AI-assisted development tools and engineering productivity accelerators. You bring strong experience with Agile delivery, DevOps practices, CI/CD automation, and engineering lifecycle execution. You understand secure engineering principles, data privacy considerations, and enterprise governance expectations. You are a structured problem solver with strong communication and stakeholder management skills.Good to have skills / qualifications Experience building and scaling machine learning, generative AI, or intelligent automation solutions in production environments. Familiarity with MLOps, LLM integration, prompt engineering, model monitoring, and AI validation practices. Experience working within banking, fintech, payments, or other highly regulated industry environments. An advanced degree in Computer Science, Artificial Intelligence, Engineering, or a related discipline. Relevant certifications in cloud architecture, enterprise solution design, platform engineering, or AI/ML, such as AWS/Azure/GCP Solutions Architect, TOGAF, Certified Kubernetes Administrator, with exposure to Lean Six Sigma considered an advantage. Experience leading engineering transformation, automation initiatives, or enterprise modernization programs. Demonstrated passion for innovation through open-source contributions, experimentation with emerging technologies, or adoption of modern engineering practices.

Company Name: FORMURA LIMITEDRole: Full Stack Agentic AI EngineerSalary: USD$750 - USD$1,150 per month (based on experience)Location: 100% Remote - Open to talent in India, Philippines, MalaysiaJob Type: Full-Time (long-term contract/employment)About Us :Dedicated to revolutionizing product design and delivery, our technology company is on a mission to develop innovative Agentic AI solutions. Driven by high energy and a passion for scaling our autonomous platform, we are actively growing our remote engineering presence across India, Malaysia, and the Philippines.The Role :We are looking for a Full Stack Agentic AI Engineer - someone who doesn't just build apps, but designs intelligent, autonomous agents that act as collaborative partners for our users. You will own the entire stack: from the cognitive architecture of multiagent systems to the highperformance backends that execute them, and the frontends that make their reasoning transparent in real time.Compensation :Full-time position paying US$750 - US$1,150 per month, depending on your level of experience and demonstrated skills. Salary is paid on time, every month, in US dollars (or equivalent local currency).What You'll Build & OwnAI & Agent Orchestration : Design and implement multiagent workflows using frameworks like LangGraph, CrewAI, or Semantic Kernel. Embed advanced reasoning patterns (ReAct, PlanandExecute, Reflexion) to reduce hallucinations and improve decisionmaking. Architect longterm memory and RetrievalAugmented Generation (RAG) pipelines with vector databases (Pinecone, Milvus, Weaviate) to ground agents in realworld data. Integrate external tools securely through the Model Context Protocol (MCP) - connecting agents to databases, APIs, Slack, GitHub, and internal systems.Backend Engineering : Develop highconcurrency, nonblocking backends with Python (FastAPI) or Node.js to handle longrunning agent tasks without blocking the UI. Implement AgentOps & observability (LangSmith, Arize Phoenix) to trace, debug, and explain every agent decision. Build safety guardrails and deterministic fallback layers that intercept and correct unintended agent actions before they reach production.Frontend & User Experience : Create streaming interfaces (React, Next.js) that push realtime Thinking states, tooluse logs, and incremental results to the user. Design HumanintheLoop (HITL) approval components - agents pause and wait for human confirmation on highstakes actions. Build collaborative dashboards that visualise multiagent handoffs (e.g., a Researcher agent passing data to a Writer agent).What We're Looking For : Expertlevel Python (for AI/backend) and TypeScript (for frontend and API safety). Deep experience with agentic frameworks (LangGraph/LangChain), modern frontend frameworks (React/Next.js), and backend frameworks (FastAPI). Proficiency in relational databases (PostgreSQL) and vector stores (Weaviate, Chroma, or similar). Hands-on experience with Docker/Kubernetes and AI deployment platforms (Azure AI Foundry, AWS Bedrock, Vercel AI SDK, or equivalent). Strong communication skills in English; ability to work asynchronously in a remote, multicultural team.Bonus Points : Contributions to opensource agentic or LLM projects. Experience with Small Language Models (SLMs) for lowlatency, ondevice agent tasks.Why You'll Love Working With Us : Fully remote - work from India, the Philippines, or Malaysia. Stable, fulltime income in US dollars (or local equivalent) - no dry spells. Work at the cutting edge of agentic AI, 3D web, and Web3. Real ownership - you'll shape the architecture of a nextgen platform. Continuous learning culture: we share prompts, frameworks, and research internally. Inclusive, egofree team where your ideas matter.How to Apply :Send your application to: kam@formura.clubSubject line: Full Stack Agentic AI Engineer - [Your Name] - [Country]Please include : Your CV

Job Title: Tech LeadExperience: 6 - 8+ YearsEmployment Type: Full-time / Work from officeRole OverviewWe are looking for an experienced Tech Lead to join our dynamic team and drive the development of scalable AdTech solutions. The ideal candidate will bring strong technical expertise, leadership capabilities, and experience working in Agile environments.You will play a key role in building innovative platforms that automate media transactions and enhance global audience engagement.Key Responsibilities Provide hands-on technical guidance to engineering teams. Enforce best practices in coding standards, architecture, and design principles. Lead Agile POD teams across product, engineering, and QA. Ensure timely delivery of technical deliverables with high quality. Collaborate with solution architects to design scalable and maintainable systems. Convert architecture designs into development plans. Mentor junior engineers and promote continuous learning. Encourage collaboration and innovation within the team. Oversee the entire development lifecycle from planning to deployment. Resolve technical challenges to ensure smooth delivery. Identify development bottlenecks and optimize workflows. Implement automation to improve productivity and performance.Required Skills & Qualifications Bachelors or Masters degree in Computer Science, IT, or related field. 6+ years of experience as a Tech Lead or Senior Developer. Strong experience working in Agile development environments.Technical Skills Programming: Java, Python, Angular, C++ Databases: MongoDB, SQL, NoSQL Cloud Platforms: AWS Experience with AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, or Keras Experience deploying AI models in production Knowledge of deep learning, NLP, computer vision, or generative AIPreferred Skills Experience in AdTech / OOH advertising / E-commerce platforms Knowledge of CI/CD pipelines and DevOps practices Familiarity with tools such as Jira and ConfluenceTech Stack Programming: Java, Python, C++ Frontend: Angular, React Database: MongoDB, SQL, NoSQL Cloud: AWS

Job Title- AI / Machine Learning EngineerLocation: [Bhubaneswar]Experience: 0-1 Years.Company: VVSPL (Start-Up)Job SummaryWe are looking for a skilled AI/ML Technical Professional who can design, develop, and deploy machine learning models to solve real-world business problems. The ideal candidate should be strong in data handling, model development, and translating business requirements into scalable AI solutions.Key ResponsibilitiesDesign, build, and deploy Machine Learning & AI modelsWork on data preprocessing, feature engineering, and model trainingDevelop and optimize ML algorithms (classification, regression, clustering, NLP, etc.)Integrate AI/ML models with backend systems and APIsMonitor model performance and improve accuracy over timeCollaborate with product, software, and business teamsStay updated with latest AI/ML trends and toolsDocument models, workflows, and technical processesRequired Skills & QualificationsTechnical SkillsStrong knowledge of PythonHands-on experience with Machine Learning algorithmsExperience with TensorFlow / PyTorch / Scikit-learnGood understanding of Data Structures & AlgorithmsKnowledge of SQL / NoSQL databasesExperience in REST APIs integrationFamiliarity with cloud platforms (AWS / Azure / GCP is a plus)AI/ML ConceptsSupervised & Unsupervised LearningModel evaluation & optimizationNLP / Computer Vision (preferred but not mandatory)Data analysis & visualizationEducational QualificationB.Tech / M.Tech / MCA / MSc (CS/AI/ML)Preferred Skills (Good to Have)Experience with LLMs, Chatbots, or Generative AIKnowledge of MLOps toolsExperience in startup or product-based environmentProblem-solving mindset with business understandingWhat We OfferOpportunity to work on real-world AI productsGrowth-focused startup environmentCompetitive salary (as per experience)Learning & up skilling opportunities

Key ResponsibilitiesGenerative AI Development (50%)Architect, build, and deploy production-ready Generative AI solutions using Python, LangChain/LlamaIndex, OpenAI API, Anthropic, Hugging Face, and open-source LLMs (Llama, Mistral).Design and implement Retrieval-Augmented Generation (RAG) architecture using vector databases (Chroma, Pinecone, FAISS, Qdrant) for enterprise document intelligence and semantic search.Build multi-agent AI systems, custom chatbots, and workflow automation using tools like CrewAI, AutoGen, and LangGraph.Fine-tune, evaluate, and optimize open-source foundation models for domain-specific tasks and latency/cost efficiencies.Integrate GenAI backend pipelines with RESTful APIs (FastAPI/Flask) and front-end application interfaces.Technical Training & Mentorship (50%)Deliver hands-on, structured training modules on Generative AI concepts, Prompt Engineering, Fine-tuning, RAG architecture, Vector DBs, and AI Application Development.Mentor trainees, students, and developers through live AI build projects, code reviews, and real-world debugging workflows.Develop up-to-date curricula, practical lab exercises, coding benchmarks, and project blueprints reflecting current GenAI industry practices.Conduct technical assessments, hackathons, and mock technical interviews to prepare candidates for corporate AI roles.

ML Engineer**Experience:** 6-8 Years**Engagement:** C2C**Location:**Bangalore## Role OverviewWe are looking for an experienced **ML Engineer** with strong expertise in **Python, Machine Learning, Generative AI, Agentic AI, and Microsoft Azure**. The ideal candidate will have hands-on experience building and deploying machine learning models and AI agents, developing scalable ML pipelines, and orchestrating agentic workflows using Azure Data and AI platforms.## Key Responsibilities* Develop and maintain scalable **machine learning pipelines** and integrate them with **Azure ML**.* Design and implement **agentic AI workflows** and intelligent AI agents using LLMs, planning, and decision-making frameworks.* Build, deploy, and optimize machine learning models using **TensorFlow, PyTorch**, or similar frameworks.* Design secure, scalable, and production-ready AI agent architectures for cross-platform applications.* Work extensively with **Microsoft Azure**, including **Azure Databricks, Microsoft Fabric, and Microsoft AI Foundry**.* Build and experiment with **Generative AI models, LLMs, and agentic workflows**.* Implement AI agent **safety, guardrails, evaluation, and monitoring mechanisms**.* Improve agent performance through feedback loops, reinforcement learning, and user interaction analysis.* Collaborate across backend, ML pipeline, and frontend teams to deliver end-to-end AI solutions.* Support deployment architecture, model serving, monitoring, and productionization of AI systems.* Conduct research and performance evaluation to improve agent conversation, decision-making, adaptability, and reliability.* Rapidly prototype and iterate on AI solutions in a startup-style environment.* Collaborate with senior engineers and researchers to deliver production-grade AI systems.## Required Qualifications* 6-8 years of experience in **Machine Learning / AI Engineering**.* Strong programming skills in **Python**.* Hands-on experience with **TensorFlow, PyTorch**, or equivalent ML frameworks.* Proven experience developing and deploying **machine learning models and AI agents**.* Strong hands-on experience with **Generative AI, LLMs, and Agentic AI**.* Strong expertise in **Microsoft Azure** and Azure AI/Data platforms.* Experience with **Azure ML, Azure Databricks, Microsoft Fabric, and Microsoft AI Foundry**.* Experience with **ML pipelines, deployment architecture, and production AI systems**.* Understanding of AI agent orchestration, evaluation, safety, and guardrails.* Strong problem-solving skills and ability to work in a fast-paced, collaborative environment.## Good to Have* Experience with **reinforcement learning and agent feedback mechanisms**.* Experience building AI solutions for **security or enterprise applications**.* Knowledge of LLM evaluation, prompt engineering, RAG, and model optimization.* Experience working across backend services, APIs, and frontend integrations.## Key Skills**Must Have:** Python Azure ML GenAI/LLM Agentic AI TensorFlow/PyTorch Azure Databricks/Fabric/AI Foundry ML Pipelines AI Agent Deployment**Good to Have:** Reinforcement Learning RAG Prompt Engineering AI Safety & Guardrails LLM Evaluation

We are seeking an experienced AI Platform Engineer to join our team in Bangalore. The ideal candidate will have 7 to 10 years of experience in developing and managing AI platforms.Key Responsibilities:- Design and Develop AI Models: Create scalable AI models tailored for various applications, ensuring they meet performance and accuracy standards.- Optimize AI Workflows: Streamline and improve existing AI workflows to enhance efficiency, reduce latency, and lower operational costs.- Collaborate with Cross-Functional Teams: Work closely with data scientists, software engineers, and product managers to ensure alignment on project goals and deliverables.- Deploy AI Solutions: Implement and maintain AI systems in production environments, ensuring they are reliable, secure, and user-friendly.- Monitor System Performance: Continuously analyze and monitor AI platform performance, making adjustments or updates as needed to improve functionality.- Stay Updated on AI Trends: Keep up with the latest advancements in AI technology to incorporate innovative solutions and stay competitive.Required Skills and Expectations:- A deep understanding of AI and machine learning frameworks such as TensorFlow or PyTorch.- Proficiency in programming languages like Python, Java, or C++ for building AI applications.- Experience with cloud platforms (AWS, Google Cloud, Azure) for deploying AI solutions effectively.- Strong problem-solving skills and the ability to analyze complex data sets.- Excellent communication skills to collaborate effectively with various teams and present technical concepts to non-technical stakeholders.- Previous experience in managing AI projects from inception to deployment, demonstrating leadership and strategic thinking.