AI Engineer Jobs

We are looking for passionate and enthusiastic freshers who want to build a career in Artificial Intelligence. The candidate will work on real-time AI projects involving Machine Learning, Deep Learning, NLP, Computer Vision, and Generative AI solutions.Key ResponsibilitiesDevelop, test, and deploy AI/ML models.Work on Python-based AI applications.Build chatbots, automation tools, and AI agents.Perform data cleaning, preprocessing, and analysis.Train and optimize machine learning models.Integrate AI models with web or mobile applications.Research latest AI trends and technologies.Collaborate with development teams on projects.

We are seeking an AI Executive to join our team in Surat, India. This role is ideal for candidates with 1 to 3 years of experience in artificial intelligence and a diploma in a relevant field.In this position, you will be responsible for developing and implementing AI solutions that enhance business processes. You will collaborate with various teams to identify opportunities for automation and improvement. Your role will also involve analyzing data to drive insights and create predictive models that inform decision-making.Key responsibilities include:AI based image generation using AI tools such as MidJourney, FireFly, DALL-E style look, AI based product mock-up, videos , ads , look book.AI based brand storytelling videos

We are looking for a highly capable AI Lead Engineer to contribute to the design and delivery of intelligent, scalable AI solutions. This role focuses on building production-grade systems involving LLMs, vector databases, agent-based workflows, and Retrieval-Augmented Generation (RAG) architectures on the cloud. The ideal candidate should demonstrate strong problem-solving abilities, hands-on technical skills, and the ability to align AI design with real-world business needs.Must-Have SkillsStrong coding ability in Python and proficiency in SQL.Hands-on experience with vector databases (e.g., Pinecone, FAISS, Weaviate).Practical experience with LLMs (OpenAI, Claude, Gemini, etc.) in real-world workflows.Familiarity with LangChain, LlamaIndex, or similar orchestration tools.Proven track record in delivering scalable AI systems on public cloud (Azure, AWS, or GCP).Experience building and optimizing RAG pipelines.Solid understanding of server less/cloud-native architecture and event-driven design.Integrate/expose the ai solution in applications using fastapi,flask,djangoPreferred or Good to Have SkillsExposure to agentic AI patterns and multi-agent coordination.Knowledge of AI system safety practices (e.g., hallucination filtering, grounding).Experience with MLOps tools (MLflow, KubeFlow) and CI/CD for ML.Understanding of concept/data drift and retraining strategies in production.Experience working on AI projects involving classification, regression, and clustering models.Prior work on multi-modal AI pipelines (vision + language).Familiarity with real-time inference tuning (batching, concurrency).Demonstrated ability to deliver a variety of AI solutions in production environments across domains.Any Other:Bachelors or Masters degree in Computer Science, Data Science, AI/ML, or related field.Strong analytical mindset with a clear focus on business-aligned AI delivery.Excellent verbal and written communication skills.Key ResponsibilitiesCollaborate with the Solution Architect to design agentic AI systems (e.g., ReAct, CodeAct, Self-Reflective Agents).Build and deploy scalable RAG pipelines using vector databases and embedding models.Integrate modern AI tools (e.g., LangChain, LlamaIndex, Kagi, Search APIs) into solution workflows.Optimize inference performance for cloud and edge environments.Contribute to the development of feedback loops, drift detection, and self-healing AI systems.Deploy, monitor, and manage AI solutions on cloud platforms (Azure, AWS, or GCP).Translate business use cases into robust technical solutions in collaboration with cross-functional teams.

GenAI Engineer - Job DescriptionLocation: NoidaJob Type: Full TimeExperience Level: 1-3 yearsJob SummaryWe are seeking a passionate and skilled GenAI Engineer to join our team and work on cutting-edge Generative AI applications. The ideal candidate will have hands-on experience with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and modern AI frameworks. This role offers an excellent opportunity to build intelligent, scalable AI solutions and grow in the rapidly evolving field of Generative AI.You will be responsible for designing and implementing RAG pipelines, integrating LLMs into production systems, and optimizing AI-powered applications for real-world use cases.Key ResponsibilitiesHands-on experience with LLMs such as OpenAI GPT, Claude, Llama, or MistralStrong experience building end-to-end RAG pipelines (data ingestion, chunking, embeddings, retrieval, response generation)Expertise in LangChain / LangGraph for AI workflows, agents, and orchestrationExperience with Vector Databases (Pinecone, Qdrant, Weaviate, ChromaDB, FAISS)Strong Prompt Engineering and optimization techniquesProficiency in Python with backend development using FastAPI/DjangoExperience integrating LLM APIs into scalable applicationsUnderstanding of embeddings, NLP concepts, semantic search, and data preprocessingExperience working with SQL (PostgreSQL/MySQL) and NoSQL (MongoDB) databasesMLOps, aws sagemaker, redis, DBMS, distributed systems, microservicesRAG, graph rag, langraph, vector dbs like neo4j, milvus, qdrantGood to HaveExperience with model fine-tuning and training custom modelsKnowledge of LangSmith or other LLM observability toolsUnderstanding of token optimization and cost management for LLM applicationsExperience with streaming responses and async processingFamiliarity with Docker and containerizationExposure to cloud platforms (AWS, Azure, or GCP) for AI deploymentExperience with CI/CD pipelinesKnowledge of MLOps practices and model versioningUnderstanding of AI safety, ethics, and responsible AI principlesExperience building conversational AI agents or chatbotsFrontend integration experience (React, Vue, or Angular)EducationBachelor's or Master's degree in Computer Science, Engineering, Data Science, Artificial Intelligence, or a related fieldRelevant certifications in AI/ML or LLM technologies are a plusWhat We OfferCompetitive salary and benefits packageOpportunity to work on cutting-edge Generative AI projectsCollaborative and innovative work environmentExposure to latest LLM technologies and frameworksCareer growth and continuous learning opportunitiesFlexible work arrangementsMentorship from experienced AI practitioners

We are seeking a talented AI/ML Engineer to design, develop, and deploy machine learning models that solve real-world business problems.Key ResponsibilitiesDevelop, train, and optimize machine learning and deep learning models.Design and implement AI solutions for automation, prediction, and data analysis.Work with large datasets to clean, preprocess, and engineer features.Deploy models into production environments and monitor performance.Build scalable ML pipelines and integrate models with applications.Conduct experiments, model evaluations, and performance tuning.Collaborate with cross-functional teams including data engineers and product managers.Stay updated with the latest research and advancements in AI/ML.Note: Only Pune-based candidates can eligible to apply.

Job Title: AI Computer Science Engineer (Prompt Engineering & Client Support)Company: DrytisType: Remote Contract Position (Independent Contractor)Compensation: $4.28 $17.15 per hour (based on experience and performance)About DrytisDrytis is a forward-thinking technology company specializing in AI-powered coding solutions that bridge the gap between clients and technology. Were building a dynamic, on-demand engineering platform that delivers immediate, expert software engineering support to help clients complete the last mile of their application development.We thrive on innovation, agility, and real-world problem-solving. Our team of AI and software specialists works directly with clients to provide hands-on technical guidance and coding support in a cloud-based development environment.Role OverviewAs an AI Computer Science Engineer at Drytis, you will play a key role in providing direct technical support and AI-driven development assistance to clients using our Vibe Coding platform. This role blends deep AI expertise with practical coding, debugging, and client collaboration.You may engage in live pair programming sessions, perform hands-on debugging, or help clients complete software projects in real time. You will be expected to move fluidly between coding, prompt engineering, and direct client interaction, while communicating clearly and confidently with primarily English-speaking clients.ResponsibilitiesEngage with clients in live or asynchronous sessions to provide coding support and project guidance.Apply advanced prompt engineering and AI development techniques (including extensive use of AI coding applications and tools) to enhance client workflows.Debug, refactor, and complete application features across various software stacks.Collaborate via remote, cloud-based development tools and shared workspaces.Maintain detailed documentation of client sessions, tasks, and resolutions.Contribute to process improvement initiatives and platform optimization feedback loops.QualificationsDegree in Computer Science, AI, or a related field (or equivalent practical experience).Strong command of Python, JavaScript, or other common programming languages.Hands-on experience with prompt engineering, LLMs, and AI-assisted coding tools, with extensive daily use of AI coding applications.Proven full-stack application deployment experience (front-end, back-end, and production environments).Exceptional English communication skillsverbal and writtenare absolutely required.Strong problem-solving skills and excellent attention to detail, especially in client-facing and production-critical scenarios.Familiarity with cloud-based IDEs, version control (e.g., Git), and API integrations.Strong UX/UI design and product experience are highly favorable.Reliable internet connectivity with access to multiple providers for redundancy and uninterrupted client sessions.Comfortable working independently in a remote, fast-paced environment.What Makes This Role UniqueFully remote & flexible: Work from anywhere, on your schedule. You design your working hours around your life.You choose your clients: Pick the clients and projects you want to work with, based on your interests and strengths.Empowered by AI: Work with cutting-edge AI technologies, using and pushing the limits of the most advanced AI coding tools to make them do backflips and deliver exceptional outcomes for clients.High-impact, client-facing work: Every session is hands-on, fast-paced, and collaborative; your thinking, speed, and clarity directly help clients ship their products.Built for elite communicators: Success here means you can think fast, communicate incredibly well, and genuinely enjoy helping clients get their applications into production.How to ApplyInterested candidates should submit:An up-to-date resume.A brief note outlining relevant experience with AI coding tools, full-stack deployment, client-facing work, and why this role interests you.We look forward to connecting with you and exploring how you can contribute to Drytis and our clients success.You may also refer your friends

AIML Engineer Job DescriptionExp: 4+ yrsNP : Immediate / 15 daysLocation : Bhubaneswar/ Bangalore/ ChennaiPosition OverviewWe are seeking a highly skilled Artificial Intelligence & Machine Learning Engineer to design, develop, and deploy intelligent systems that solve complex business problems. The role involves applying advanced algorithms, data science techniques, and deep learning frameworks to build scalable AI solutions.Key ResponsibilitiesModel Development: Design, train, and optimize ML/DL models for predictive analytics, NLP, computer vision, and recommendation systems.Data Engineering: Collect, preprocess, and analyze large datasets to ensure quality and usability.Deployment & Integration: Implement AI models into production environments using cloud platforms (AWS, Azure, GCP).Research & Innovation: Stay updated with emerging AI/ML technologies and apply them to business challenges.Collaboration: Work closely with product managers, data scientists, and software engineers to deliver end-to-end AI solutions.Performance Monitoring: Continuously evaluate and improve deployed models for accuracy, scalability, and efficiency.Required Skills & QualificationsStrong programming skills in Python, R, Java, or C++.Expertise in ML/DL frameworks: TensorFlow, PyTorch, Keras, Scikit-learn.Solid understanding of statistics, probability, and linear algebra.Experience with cloud services: AWS SageMaker, Azure ML, Google AI Platform.Knowledge of data handling tools: SQL, Spark, Hadoop.Familiarity with NLP, computer vision, reinforcement learning.Strong problem-solving, communication, and teamwork skills.Preferred QualificationsExperience with MLOps (CI/CD pipelines for ML).Hands-on with big data technologies.Publications or contributions to AI research.Infested candidate can share CV to Rekha.C@eagledrift.com

Job Title: QA Automation Engineer Experience Level: 3.65.5 Years About the Role We are looking for a Quality Assurance Engineer specializing in Large Language Models (LLMs) to ensure the accuracy, reliability, and performance of AI-driven applications. The ideal candidate has a strong understanding of how LLMs interact with data pipelinescovering indexing, chunking, embeddings, cosine similarity and keyword search along with hands-on experience in LLM observability, prompt evaluation, and QA automation. Key Responsibilities Design and execute QA strategies for LLM-based and search-driven products. Validate data pipelines involving indexing, chunking, embeddings, cosine similarity and keyword search. Evaluate retrieval-augmented generation (RAG) and recommendation system quality using precision, recall, and relevance metrics. Develop prompt test suites to measure LLM accuracy, consistency, and bias. Monitor LLM observability metrics such as latency, token usage, hallucination rate, and cost performance. Automate end-to-end test scenarios using Playwright and integrate with CI/CD pipelines. Collaborate with ML engineers and developers to improve model responses and user experience. Contribute to test frameworks and datasets for LLM regression and benchmark testing. Required Skills & Experience 4+ years of experience in QA engineering, with at least 1+ year in GenAI or LLMbased systems. Strong understanding of indexing, chunking, embeddings, similarity search, and retrieval workflows. Experience with prompt engineering, LLM evaluation, and output validation techniques. Proficiency with Playwright, API automation, and modern QA frameworks. Knowledge of observability tools for LLMs Solid scripting experience in Python. Knowledge of different LLM providers (OpenAI, Gemini, Anthropic, Mistral, etc.) Exposure to RAG pipelines, recommendation systems, or model performance benchmarking. Strong analytical and debugging skills, with a detail-oriented mindset.

Required Computer TeacherQualification : MCA / MSc(IT) / BTech(IT)Topics to teach : Cyber Security, Data Analysis, AI(Artificial Intellegence)

Full Stack Engineer;- Refer is revolutionising word of mouth marketing, on a journey to monetise experiences and trustworthy recommendations for our users. Offering a mobile app that acts as a gateway for financially rewarding business referrals. The app harnesses personal referrals to cut through online noise, helping users to discover and experience new businesses through trusted insights from family and friends.Were looking for experienced senior engineers to help deliver our next-generationroadmap, including:*Predictive targeting and behavioural analytics;*AI-driven recommendations;*Advanced UX;*Monetization features: ads, commissions, peak/off-peak logic;*Business dashboards, security improvements, and scalable infrastructure.What Were Looking For- 5+ years of experience;- Strong expertise in C#/.NET (backend), and/or Flutter/React Native(frontend);- Experience with payments, social features, or high-performance apps is a plus;- Independent, proactive, and able to work in a fast-moving environment;- Bonus: Python experience for AI/analytics.Why Join Refer?- Work on a high-potential, consumer-facing product;- Big ownership, big impact;- Autonomy and influence over architecture and roadmap;- Long-term growth as the platform scales.Apply: Send your CV + portfolio/GitHub to federico@referfriend.com[Subject: Application Senior Engineer]

Job Title: ML Engineer - Workflow Automation & Response Intelligence Role Overview: We-re seeking an experienced ML Engineer to lead initiatives in workflow automation and sentiment-driven response generation using third-party AI agents. The candidate will be responsible for integrating external AI services, orchestrating intelligent workflows, and ensuring contextual, automated replies based on sentiment and intent.Key Responsibilities:Integrate and orchestrate third-party AI agents for sentiment analysis and auto-response generationDesign and maintain workflow automation pipelines that trigger intelligent actions based on AI outputsConfigure and fine-tune agent behavior for tone, escalation logic, and contextual relevanceCollaborate with engineering and product teams to define response logic and escalation pathsMonitor agent performance, ensure reliability, and manage API interactionsDocument workflows, integration logic, and fallback strategies in ConfluenceRequired Skills:4-5 years of experience in AI/ML engineering or intelligent automationStrong proficiency in Python for scripting and API orchestrationExperience integrating third-party AI services (e.g., OpenAI, Google Cloud AI, Azure Cognitive Services)Familiarity with sentiment analysis, intent classification, and response generationWorkflow orchestration using tools like Airflow, Prefect, or custom schedulersREST API integration and error handlingVersion control using Git, and task management via JiraNice to Have:Exposure to LangChain, Rasa, or other conversational AI frameworksExperience with LLM prompt engineering and agent chainingUnderstanding of ethical AI principles and fallback logic for agent responsesExposure to Golang and PostgreSQL database

We are hiring an AI Engineer for an execution-driven role to implement a GPU-powered, real-time CCTV video analytics solution for a high-scale retail business.Key focus areas:Real-time detection & tracking of people, objects & behaviorsVisual overlays, alerts & live dashboardsOptimized GPU edge deployment (no cloud dependency)Handling low-light, crowd & multi-stream environmentsEnsuring low-latency performanceRequired Skills:Strong hands-on experience with YOLO (v5/v8/v11), OpenCV, TensorFlow/PyTorchProven skills in CCTV/RTSP feed integrationGPU-based inference optimization (CUDA/TensorRT)Multi-stream analytics on NVIDIA GPU servers (A100/T4/RTX)Ability to tackle real-world video challenges (occlusion, low light, fast motion, crowded scenes)Experience in deploying & maintaining on-site GPU servers (24x7 ops)How to apply:Interested candidates send their resume to hiring@manvian.com

DETAILED RESPONSIBILITIES Design complex systems that integrate GenAI applications, machine learning models, and cloud infrastructure. Lead and manage a diverse, cross-functional team of engineers, ensuring the delivery of high-quality, scalable solutions. Engage in hands-on coding, technical design, and problem-solving to drive innovation and excellence. Make critical architectural decisions to optimize performance, scalability, and reliability of systems. Collaborate with stakeholders to align technological solutions with business objectives. Stay updated with emerging technologies and industry best practices to ensure continuous improvement.SKILL REQUIREMENTS Hands-on experience in GCP, Data Engineering, or DevOps is highly advantageous. Minimum 8+ years of hands-on experience in software engineering, with at least 3+ years in a leadership role managing cross-functional teams. Proficiency in designing and developing large-scale systems, including GenAI, API architectures, data systems, and cloud-native applications. Strong programming skills in Python, JavaScript, Java, or other backend languages. Experience with API development (RESTful APIs, GraphQL). Extensive experience in building and deploying ML models using TensorFlow, PyTorch, scikit-learn, and spaCy. Strong leadership and team management skills, with excellent problem-solving abilities and effective communication skills. Familiarity with industry best practices and emerging technologies in AI and machine learning.

Role: GenAI Full Stack EngineerFulltimeWork Location: RemoteJob Description: Python and familiar with AI/Gen AI frameworks. Experience with data manipulation libraries like Pandas and NumPy is crucial. Specific expertise in implementing and managing large language models (LLMs) is a must. Fast API experience for API development A solid grasp of software engineering principles, including version control (Git), continuous integration and continuous deployment (CI/CD) practices, and automated testing, is required. Experience in MLOps, ML engineering, and Data Science, with a proven track record of developing and maintaining AI solutions, is essential. We also need proficiency in DevOps tools such as Docker, Kubernetes, Jenkins, and Terraform, along with advanced CI/CD practices.

We are seeking a motivated Software Engineer to design, develop, and maintain software systems to meet business needs. The ideal candidate will write clean, efficient code, troubleshoot issues, and collaborate with other teams to ensure software scalability and performance.

We're Hiring: AI Engineer at MSolve TechMSolve Tech is looking for a talented AI Engineer with 4+ years of experience to design and build AI products using Agentic AI (Autogen), Python backend, and React/Node.js front-end.What You'll Do:Build AI-powered products from concept to deployment.Develop backend services in Python and integrate AI/ML pipelines.Create responsive front-end apps using React & Node.js.Work with RDBMS and Azure Cosmos DB.Skills We're Looking For:Python, Node.js, ReactAgentic AI (Autogen)RDBMS & Azure Cosmos DBProduct-focused mindset & strong problem-solving skillsWhy Join Us:Lead the development of cutting-edge AI productsFlexible work environmentGrow your skills with an innovative tech team

DETAILED RESPONSIBILITIES Design complex systems that integrate GenAI applications, machine learning models, and cloud infrastructure. Lead and manage a diverse, cross-functional team of engineers, ensuring the delivery of high-quality, scalable solutions. Engage in hands-on coding, technical design, and problem-solving to drive innovation and excellence. Make critical architectural decisions to optimize performance, scalability, and reliability of systems. Collaborate with stakeholders to align technological solutions with business objectives. Stay updated with emerging technologies and industry best practices to ensure continuous improvement.SKILL REQUIREMENTS Hands-on experience in GCP, Data Engineering, or DevOps is highly advantageous. Minimum 8+ years of hands-on experience in software engineering, with at least 3+ years in a leadership role managing cross-functional teams. Proficiency in designing and developing large-scale systems, including GenAI, API architectures, data systems, and cloud-native applications. Strong programming skills in Python, JavaScript, Java, or other backend languages. Experience with API development (RESTful APIs, GraphQL). Extensive experience in building and deploying ML models using TensorFlow, PyTorch, scikit-learn, and spaCy. Strong leadership and team management skills, with excellent problem-solving abilities and effective communication skills. Familiarity with industry best practices and emerging technologies in AI and machine learning.

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

Role OverviewWe are looking for a passionate Python Developer to join our team in Jaipur. The candidate will be responsible for developing scalable applications, writing clean code, and collaborating with cross-functional teams to deliver high-quality software solutions. Key ResponsibilitiesDevelop, test, and maintain Python-based applications and backend systemsWrite clean, efficient, and reusable codeDesign and integrate REST APIs and third-party servicesWork with databases (MySQL, PostgreSQL, MongoDB)Debug, troubleshoot, and optimize application performanceCollaborate with front-end developers, designers, and QA teamsParticipate in code reviews and improve development practicesStay updated with latest Python frameworks and technologies Required SkillsStrong knowledge of Python programmingUnderstanding of OOPs, data structures, and algorithmsExperience with at least one framework: Django / Flask / FastAPIBasic knowledge of REST APIs and web developmentFamiliarity with databases (SQL/NoSQL)Version control tools like GitProblem-solving and analytical thinking skills Preferred Skills (Good to Have)Knowledge of HTML, CSS, JavaScriptExperience with cloud platforms (AWS/GCP/Azure)Familiarity with Docker, CI/CD pipelinesExposure to Agile development methodologies