LLM Jobs

We are seeking a skilled Mid-Level Data Engineer to design, build, and optimize scalable data pipelines and architectures. The ideal candidate will have strong experience in data processing, ETL development, and cloud-based data platforms, supporting data-driven decision-making across the organization.

Hiring Tech Trainers (1-2 Years Experience)Looking for passionate trainers inAI ML LLMs Python Java Cybersecurity SAP Power BI Robotics Freshers with 1-2 yrs experience welcome Flexible (Part-time / Weekend) Perks+ growth opportunitiesIf you love teaching & want to grow fast, Drop your resume now!

We are looking for Strategy Specialists to join our dynamic team in Hyderabad. This is a full-time work-from-home position, suitable for candidates with varying levels of experience, from recent graduates to those with up to six years in related roles.**Key Responsibilities:**- **Market Analysis:** Conduct thorough research to understand market trends and customer needs, helping to inform strategic decisions.- **Strategic Development:** Assist in formulating strategies to enhance business performance, focusing on growth and competitive advantage.- **Performance Monitoring:** Analyze the effectiveness of strategies and initiatives, ensuring that objectives are met consistently.- **Collaboration:** Work closely with various departments to align strategies with overall business goals and streamline processes.- **Reporting:** Create detailed reports and presentations that summarize findings and suggest actionable insights for management.**Required Skills and Expectations:**Candidates should have a Masters degree or Post Graduate Diploma in fields such as Business Administration, Law, Architecture, or Technology. Strong analytical skills are essential to evaluate data and develop insights. Excellent communication skills, both written and verbal, are necessary for effective collaboration and presentation. Basic knowledge of strategic planning processes is beneficial, along with a proactive attitude and the ability to work independently. Attention to detail and the ability to manage multiple tasks efficiently are also important for success in this role. We are especially looking for female candidates who are enthusiastic to contribute to our strategic initiatives.

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.

Role OverviewWe are seeking a highly skilled Machine Learning Engineer with 4+ years of experience to bridge the gap between Generative AI and actionable business intelligence. The ideal candidate will be responsible for optimizing Large Language Model (LLM) performance and developing advanced clustering models for customer and product segmentation.Location : Shollinganallur , ChennaiKey ResponsibilitiesLLM Optimization & EvaluationOptimize accuracy and reduce latency of LLM-powered applicationsDesign and implement robust LLM evaluation frameworksWork with LLM APIs and integrate them into production workflowsAdvanced Analytics & ModelingDevelop clustering models for customer and product segmentationIncorporate complex business logic into ML modelsApply statistical and machine learning techniques to derive actionable insightsData Engineering & OrchestrationBuild and maintain scalable data pipelines using SQLDevelop and manage Python-based DAGs (e.g., Airflow)Ensure efficient data processing and workflow automationTechnical RequirementsMandatory SkillsStrong experience in LLM EvaluationHands-on expertise in Clustering TechniquesAdvanced proficiency in SQLExperience building Python-based DAGs (Airflow or similar tools)Experience working with LLM APIsPreferred (Bonus) SkillsExperience in self-hosting and fine-tuning LLMsKnowledge of Time Series ForecastingExperience in Dimension Reduction techniquesFamiliarity with Market Basket AnalysisHands-on experience with Spark and Alteryx

AI Developer (Agentic AI Frameworks, Computer Vision & LLMs)Dear Candidate.Greetings from 3 Kubed Consulting India Pvt Ltd.!!We are seeking a highly skilled and experienced AI Developer (Agentic AI Frameworks, Computer Vision & LLMs) for one of our prestigious clients for Bangalore location. The brief JD is as below. EXP: 3+ years REL EXP: 3+ YRS Location: Bangalore NP: Ideally Immediate, max 30 days Interview: 2/3 virtual rounds, one python coding round Work mode: REMOTE Employment Mode: PMT with CAIOur client is seeking an AI Developer who specializes in agentic AI frameworksLangChain, LangGraph, CrewAI, or equivalentsand who can take both vision and language models from prototype to production. You will lead the design of multi agent systems that coordinate perception (image classification & extraction), reasoning, and action, while owning the end to end deep learning life cycle (training, scaling, deployment, and monitoring).Key ResponsibilitiesAgentic AI Frameworks (Primary Focus): Architect and implement multi agent workflows using LangChain, LangGraph, CrewAI, or similar. Design role hierarchies, state graphs, and tool integrations that enable autonomous data processing, decision making, and orchestration. Benchmark and optimize agent performance (cost, latency, reliability).Image Classification & Extraction: Build and fine tune CNN/ViT models for classification, detection, OCR, and structured data extraction. Create scalable data ingestion, labeling, and augmentation pipelines.LLM Fine Tuning & Retrieval Augmented Generation (RAG): Fine tune open weight LLMs with LoRA/QLoRA, PEFT; perform SFT, DPO, or RLHF as needed. Implement RAG pipelines using vector databases (FAISS, Weaviate, pgvector) and domain specific adapters.Deep Learning at Scale: Develop reproducible training workflows in PyTorch/TensorFlow with experiment tracking (MLflow, W&B). Serve models via TorchServe/Triton/KServe on Kubernetes, SageMaker, or GCP Vertex AI.MLOps & Production Excellence: Build robust APIs/micro services (FastAPI, gRPC). Establish CI/CD, monitoring (Prometheus, Grafana), and automated retraining triggers. Optimize inference on CPU/GPU/Edge with ONNX/TensorRT, quantization, and pruning.Collaboration & Mentorship: Translate product requirements into scalable AI services. Mentor junior engineers, conduct code and experiment reviews, and evangelize best practices.Minimum Qualifications: B.S./M.S. in Computer Science, Electrical Engineering, Applied Math, or related discipline. 5+ years building production ML/DL systems with strong Python & Git. Demonstrable expertise in at least one agentic AI framework (LangChain, LangGraph, CrewAI, or comparable). Proven delivery of computer vision models for image classification/extraction. Hands on experience fine tuning LLMs and deploying RAG solutions. Solid understanding of containerization (Docker) and cloud AI stacks (AWS/Azure). Knowledge of distributed training, GPU acceleration, and performance optimization.With regards,For 3 Kubed Consulting India Pvt Ltd

Job Title: AI ML Internship Company : FinVise AI Tech Pvt LtdLocation: Nagpur (In-office)Type: Full-time InternshipAbout FinVise AI Tech Pvt LtdFinVise is an AI-powered, next-generation FinTech ecosystem transforming how individuals and businesses understand, manage, and grow their money.We are building an integrated financial platform that combines personal finance education, investment analysis, goal-based planning, taxation assistance, and AI-driven financial guidance. Our mission is to make finance simple, intelligent, and accessible through technology, automation, and data-driven insights.The platform leverages conversational AI, modern UI/UX, and intelligent workflows to deliver seamless financial experiences across assets including equities, mutual funds, digital assets, and emerging financial instruments.What youll work on :Develop and integrate AI chatbots across multiple application screensImplement AI-powered workflows within mobile and web applicationsBuild and improve NLP-based conversational systems for smarter user interactionsIntegrate AI APIs into mobile and web platformsOptimize chatbot responses for accuracy, relevance, and performanceCollaborate with product and engineering teams to enable AI capabilities across all app pagesContribute to scalable, AI-driven features powering FinVise productsYoull be a great fit if you have :Strong foundation in Python and backend developmentUnderstanding of Machine Learning and Natural Language Processing (NLP)Experience integrating REST APIsFamiliarity with OpenAI API or similar AI servicesKnowledge of integration testingSelf-learning mindset and ability to work in a fast-paced environmentInterest in building production-grade AI systemsEligibility Criteria:Available for a full-time, in-office internship in NagpurCurrently pursuing or recently completed Computer Science, AI/ML, Data Science, or related fieldsPrior experience with chatbots, AI APIs, or NLP projects is a plusWhat youll get:Certificate of completionLetter of recommendationFlexible work hours5-day work weekOpportunity for full-time job offer upon successful performance

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.

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

- **Teaching**: Prepare and deliver lectures, seminars, and tutorials to undergraduate and postgraduate students on topics within your expertise.- **Research**: Conduct research in your field of study, participate in academic conferences, and publish papers in reputable journals.- **Student Support**: Provide guidance and support to students, including advising them on academic and career matters.- **Curriculum Development**: Assist in the development of new courses, update existing curriculum, and contribute to program development.- **Collaboration**: Work with colleagues on academic projects, committees, and other activities to support the department's goals.**Required Skills and Expectations:**- A Master's degree in a relevant field is required, while a Ph.D. is preferred.- Strong communication skills to effectively convey complex information to students.- Passion for teaching and mentoring students to help them achieve their academic goals.- Ability to conduct high-quality research and contribute to the academic community.- Willingness to work collaboratively with colleagues and participate in departmental activities.- Commitment to staying updated on developments in your field and incorporating them into your teaching and research.

As an Advocate Legal Assistant, you will be responsible for supporting lawyers in their legal activities. This includes conducting legal research, drafting legal documents, and assisting in court proceedings. You will work closely with lawyers to prepare cases and maintain case files.Key responsibilities:- Conduct legal research: As an Advocate Legal Assistant, you will be required to research legal issues, statutes, and case law to support lawyers in their work.- Draft legal documents: You will assist in drafting legal documents such as pleadings, motions, briefs, and contracts under the guidance of lawyers.- Assist in court proceedings: You will coordinate with lawyers to prepare for court hearings, trials, and other legal proceedings. This includes organizing documents, scheduling witnesses, and providing support during hearings.Required skills and expectations:- Post Graduate in Law: A minimum of a postgraduate degree in law is required for this role to ensure a strong understanding of legal principles.- 2-5 years of experience: Previous experience working as a legal assistant or in a similar role for 2-5 years is preferred.- Strong research skills: The ability to conduct thorough legal research and analyze complex legal issues is essential.- Excellent communication: Clear and effective communication skills, both written and verbal, are necessary to work closely with lawyers and clients.- Detail-oriented: An eye for detail and the ability to maintain accurate and organized case files and documents is crucial in this role.

- Develop and implement AI models: The AI Specialist will be responsible for developing and implementing artificial intelligence models using technologies such as TensorFlow, Python, and deep learning algorithms.- Work on AI projects in banking sector: The specialist will work on AI projects specifically tailored for the banking industry, leveraging their expertise in AI and machine learning to drive innovative solutions.- Utilize AWS services for AI development: The AI Specialist will be expected to have AWS certification and utilize AWS services for developing and deploying AI solutions.- Collaborate with cross-functional teams: The specialist will collaborate with cross-functional teams including data scientists, engineers, and business stakeholders to ensure successful implementation of AI projects.- Stay updated on latest AI trends and technologies: The specialist is expected to stay updated on the latest trends and technologies in the field of AI to bring cutting-edge solutions to the organization.Required Skills and Expectations:- Bachelor's degree in Engineering (B.E) with a focus on AI.- 8-14 years of experience working in AI and machine learning roles.- Proficiency in AIML, TensorFlow, Python, LLM, and deep learning algorithms.- AWS certification is a must for this role.- Strong analytical and problem-solving skills.- Excellent communication and collaboration abilities.- Ability to work full time from the office in Bahrain.

This is a full-time, on-site role located in Hyderabad for a Real Estate Marketing Professional/Manager. The responsibilities include developing and executing marketing strategies, promoting properties, conducting market research to identify target audiences, and generating leads. The individual will manage campaigns, oversee social media and digital platforms, and collaborate with sales teams to ensure effective communication with potential clients. Additionally, they will monitor market trends to stay competitive and participate in events to enhance the company's visibility in the real estate industry.

Data Scientist, Focus on action-oriented insights through custom quantitative market research.concentration in pharma, biotech, healthcare industry.Candidates will support internal teams and drives strategic decisions by applying advanced analytics and machine learning concepts to solve business problems in pharmaceutical domain.

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.

Key Responsibilities:1. Teach undergraduate and graduate courses in the field of expertise: As an Assistant Professor, you will be responsible for preparing and delivering lectures, conducting tutorials, and overseeing student projects and research in your area of specialization.2. Develop curriculum and course materials: You will be required to design course syllabi, lesson plans, assignments, and assessments that align with academic standards and meet the learning objectives of the program.3. Conduct research and publish scholarly work: Assistant Professors are expected to engage in academic research, publish papers in peer-reviewed journals, and participate in conferences and seminars to contribute to the knowledge base of their field.4. Mentor and advise students: Providing guidance and support to students regarding academic and career-related matters, such as course selection, research opportunities, internships, and job placements.5. Collaborate with colleagues and participate in academic committees: Assistant Professors work closely with other faculty members to enhance the academic environment, contribute to departmental activities, and participate in decision-making processes.Required Skills and Expectations:1. Strong communication and interpersonal skills to effectively engage with students and colleagues.2. In-depth knowledge and expertise in the relevant field of study.3. Ability to conduct research and publish scholarly work in reputed journals.4. Proficiency in using technology for teaching and research purposes.5. Qualifications such as a Master's degree or higher in a related discipline are essential for this role.6. A passion for teaching, learning, and academic excellence.