56 Vector Database Jobs

Required Skills and Qualifications: 8+ years of experience in Data Science and AI project execution and delivery. Proven experience in delivering enterprise-scale AI/ML solutions. Hands-on expertise in at least two of the following: predictive modeling, NLP, Gen AI, LLM-based applications. Experience in Gen AI solutions including LLM fine-tuning, prompt engineering, and RAG implementations. Strong knowledge of Python, ML frameworks (e.g., Scikit-learn, TensorFlow, PyTorch), and Gen AI frameworks (LangChain, LlamaIndex, Hugging Face). Familiarity with cloud-based AI services (Azure OpenAI, AWS Bedrock, Google Vertex AI). Experience working with vector databases (e.g., FAISS, Pinecone, Weaviate). Strong communication and leadership skills, with the ability to guide technical teams and engage with business stakeholders. Good to Have: Experience in Data Engineering tools and pipelines (Spark, SQL, Airflow, Databricks, etc.) Experience in handling structured and unstructured data. Exposure to MLOps tools and practices (MLflow, Kubeflow, Azure ML, etc.) AI/ML-related certifications from AWS, Azure, or GCP.

5+ years of experience in Deep Learning, including CNNs, RNNs, Transformers 2–3 years of experience in Generative AI,Proficient in Python, PyTorch, TensorFlow & Cloud platforms (AWS/GCP/Azure). Hugging Face, OpenAI APIs, LangChain, Weights & Biases.

Job Title: Technical Product Manager Location: Pune (Hybrid) Experience: 2-5 Years Company: Karini AI About Us Karini AI is at the forefront of building cutting-edge AI-powered solutions. We specialize in delivering high-impact AI, Gen AI, and data-driven products that help enterprises automate, optimize, and innovate. We are looking for a dynamic and hands-on Technical Product Manager who can drive product planning, market alignment, and GTM execution with a focus on design, competition mapping, and user-centric launches. Key Responsibilities: Define and manage the product roadmap , aligning with business goals and user needs Drive product launches , collaborating with cross-functional teams including engineering, design, marketing, and sales Conduct competitive analysis and market research to identify trends and strategic opportunities Create engaging product blogs , documents, and release notes to clearly communicate features and updates Work closely with the design team on Figma-based wireframes, UI flows , and prototypes Develop and validate storyboards and user journeys that guide product vision Lead and own Go-To-Market (GTM) strategies , ensuring successful delivery and positioning Collaborate with marketing for effective messaging, positioning, and content creation Translate product strategy into detailed requirements and user stories for development teams Monitor and measure product performance, customer feedback, and iterate rapidly Requirements: 2-5 years of experience in product management , ideally in tech or AI-focused companies Strong understanding of UI/UX principles and experience working with Figma Experience in writing technical and marketing blogs , product content, and documentation Proven track record of successful product launches and roadmap execution Ability to analyze competitors and shape product differentiation strategies Experience in storyboarding, prototyping , and working closely with design & engineering teams Familiarity with Agile/Scrum methodologies Strong problem-solving skills, attention to detail, and user-first mindset Excellent communication, storytelling, and collaboration skills Required Skills 2-5 years of product management experience , with at least 12 years in AI/ML, GenAI, or developer platforms Familiarity with LLMs, vector DBs, embeddings, APIs (e.g. OpenAI, Anthropic, Pinecone, FAISS) Understanding of cloud infrastructure (preferably AWS EC2, Lambda, S3, API Gateway) Strong ability to collaborate using Figma, wireframes, and storyboarding tools Excellent writing skills ability to author technical blogs, product guides, and release content Prior experience working in Agile, with tools like Jira, Strong problem-solving skills, with attention to detail and a user-centric mindset Educational Criteria: Bachelor’s degree (B.E/B.Tech) in Computer Science, Information Technology, or related technical field Preferred: Master’s degree (MBA) with specialization in Product Management, AI/ML, or Technology Management Why Join Karini AI? Work with a passionate and fast-growing team building the next generation of AI solutions Opportunity to lead product thinking in a high-impact role Freedom to own strategy, execution, and delivery end-to-end Friendly, transparent, and empowering culture

We are looking for a Technical Architect who has experience designing software solutions from the ground up, making high-level decisions about each stage of the process and leading a team of engineers to create the final product. To be successful as a Technical Architect, you should be an expert problem solver with a strong understanding of the broad range of software technologies and platforms available. Top candidates will also be excellent leaders and communicators. Responsibilities Collaborate with stakeholders (Product Owners, Engineers, Clients) to define and refine software architecture aligned with product vision. Design scalable, modular, and secure system architecture using microservices and modern design patterns. Create high-level product specifications, architecture diagrams, and technical documentation. Provide architectural blueprints, guidance, and technical leadership to development teams. Build and integrate AI-driven components, including Agentic AI (AutoGen, LangGraph), RAG pipelines, and LLM capabilities (Open-source and Commercial models). Define vector-based data pipelines and integrate vector databases such as FAISS, ChromaDB, or Azure AI Search. Lead the implementation of Prompt Engineering strategies to optimize LLM outcomes. Architect and deploy scalable, secure solutions on Azure Cloud, using services like Azure Kubernetes Service (AKS), Azure Functions, Azure Storage, and Azure DevOps. Ensure robust CI/CD and DevSecOps practices in place to streamline deployments and enforce compliance. Guide the team in troubleshooting, code reviews, performance tuning, and ensuring adherence to software engineering best practices. Conduct regular technical reviews, present progress updates, and ensure timely delivery of milestones. Drive innovation and exploration of emerging technologies, particularly in the field of Generative AI and Intelligent Automation. Requirements 10+ years of hands-on software development experience, with a strong Python background. 3+ years of experience in a Software or Solution Architect role. Proven experience in designing and building production-grade solutions using microservices architecture. Strong expertise in Agentic AI frameworks (AutoGen, LangGraph, CrewAI, LangChain, etc.). Working knowledge of LLMs (Open-source like LLaMA, Mistral; Commercial like OpenAI, Azure OpenAI). Solid experience with Prompt Engineering, RAG pipelines, and Vector Database integration. Experience deploying AI/ML solutions on Azure Cloud, leveraging PaaS components and cloud-native patterns. Proficiency with containerization and orchestration tools (Docker, Kubernetes). Knowledge of architectural patterns: event-driven, domain-driven design, CQRS, service mesh, etc. Familiarity with NLP tools, frameworks, and libraries (spaCy, Hugging Face, Transformers, etc.). Experience with Apache Airflow or other workflow orchestration tools. Strong communication and leadership skills to work cross-functionally with technical and non-technical teams.

Job Timing : Monday-Friday : 3:00 PM to 12:00 AM ( 8:00 PM to 9:00 PM Dinner Break ) Saturday : 9:30 AM to 2:30 PM ( 1PM to 1:30 PM Lunch Break ) Job Description: As a Data Scientist specializing in AI and Machine Learning, you will play a key role in developing and deploying state-of-the-art machine learning models. You will work closely with cross-functional teams to create solutions leveraging AI technologies, including OpenAI models, Google Gemini, Copilot, and other cutting-edge AI tools. Key Responsibilities: Design, develop, and implement advanced AI and machine learning models focusing on generative AI and NLP technologies. Work with large datasets, applying statistical and machine learning techniques to extract insights and develop predictive models. Collaborate with engineering teams to integrate models into production systems. Apply best practices for model training, tuning, evaluation, and optimization. Develop and maintain pipelines for data ingestion, feature engineering, and model deployment. Leverage tools like OpenAI's GPT models, Google Gemini, Microsoft Copilot, and other available platforms for AI-driven solutions. Build and experiment with large language models, recommendation systems, computer vision models, and reinforcement learning systems. Continuously stay up-to-date with the latest AI/ML technologies and research trends. Qualifications: Required: Proven experience as a Data Scientist, Machine Learning Engineer, or similar role. Strong expertise in building and deploying machine learning models across various use cases. In-depth experience with AI frameworks and tools such as OpenAI (e.g., GPT models), Google Gemini, Microsoft Copilot, and others. Proficiency in machine learning techniques, including supervised/unsupervised learning, reinforcement learning, and deep learning. Expertise in model training, fine-tuning, and hyperparameter optimization. Strong programming skills in Python, R, or similar languages. Solid understanding of model evaluation metrics and performance tuning. Familiarity with cloud platforms (AWS, Azure, Google Cloud) and ML model deployment tools like TensorFlow, PyTorch, and Keras. Experience with MLOps tools such as MLflow, Kubeflow, and DataRobot. Strong experience with data wrangling, feature engineering, and preprocessing techniques. Excellent problem-solving skills and the ability to communicate complex ideas to non-technical stakeholders. Preferred: PhD or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field. Experience with large-scale data processing frameworks (Hadoop, Spark, Databricks). Expertise in Natural Language Processing (NLP) techniques and frameworks like Hugging Face, BERT, T5, etc. Familiarity with deploying AI solutions on cloud services, including AWS SageMaker, Azure ML, or Google AI Platform. Experience with distributed machine learning techniques, multi-GPU setups, and optimizing large-scale models. Knowledge of reinforcement learning (RL) algorithms and practical application experience. Familiarity with AI interpretability tools such as SHAP, LIME, and Fairness Indicators. Proficiency in using collaboration tools such as Jupyter Notebooks, Git, and Docker for version control and deployment. Additional Tools & Technologies (Preferred Experience): Natural Language Processing (NLP): OpenAI GPT, BERT, T5, spaCy, NLTK, Hugging Face Machine Learning Frameworks: TensorFlow, PyTorch, Keras, Scikit-Learn Big Data Processing: Hadoop, Spark, Databricks, Dask Cloud Platforms: AWS SageMaker, Google AI Platform, Microsoft Azure ML, IBM Watson Automation & Deployment: Docker, Kubernetes, Terraform, Jenkins, CircleCI, GitLab CI/CD Visualization & Analysis: Tableau, Power BI, Plotly, Matplotlib, Seaborn, NumPy, Pandas Database : RDBMS, NoSQL Version Control: Git, GitHub, GitLab Why Join Us: Innovative Projects: Work on groundbreaking AI solutions and cutting-edge technology. Collaborative Team: Join a passionate, highly skilled, and collaborative team that values creativity and new ideas. Growth Opportunities: Develop your career in an expanding AI-focused company with continuous learning opportunities. Competitive Compensation: We offer a competitive salary and benefits package.

Urgent! Need to close in 3 days. Hiring Senior Trainer to lead AI Agent, LLM, and automation training. Must have strong Python, MERN, LangChain, RAG, vector DBs, and hands-on dev skills. Training + dev role. Start sending resumes ASAP!

We are seeking a highly skilled AI Engineer with expertise in Multimodal Retrieval-Augmented Generation (RAG), Vector databases, and Large Language Model (LLM) implementation. AI/ML engineering, with a focus on multimodal systems and LLMs.

"Key Responsibilities: Develop and implement open-source and proprietary Large Language Models (LLMs). Design, train, and deploy machine learning and deep learning algorithms. Integrate AI capabilities using Langchain, Pinecone, ChromaDB, and other AI frameworks. Apply data preprocessing techniques (feature engineering, normalization, dimensionality reduction). Optimize models through experimentation, tuning, and continuous improvement. Stay current with advancements in AI research, publications, and tools. Collaborate with backend developers to implement RESTful APIs. Create and maintain high-quality technical documentation. Debug and upgrade existing systems, incorporating user feedback. Write and manage performant, scalable APIs and services. Skills & Qualifications: Proficient in Python and frameworks such as Django REST Framework. Strong command of AI libraries: NumPy, NLTK, SpaCy, Torch, Sentence-Transformers, TensorFlow, PyTorch, scikit-learn. Experience with prompt engineering and AI-powered NLP tools. Familiarity with Generative AI (GenAI) approaches. Proficient in MySQL, vector databases (e.g., Pinecone, ChromaDB), and API/plugin integrations. Solid foundation in object-oriented programming, scalable application development, and use of Bitbucket or similar version control tools. Basic knowledge of front-end technologies: HTML5, CSS3/4, JavaScript, Ajax, XML. Experience with Agile methodologies and Test-Driven Development (TDD) environments. Exposure to NLP, Computer Vision, or other specialized AI domains is an advantage."

Crew AI Engineer Remote Contractual-6 months Job Description : We are looking for people with strong python skills, knowledge of multi agent frameworks like Crew AI, knowledge of RAG concepts mandatory. Good conceptual knowledge of LLM concepts Langraph and Langchain Required Skills : 5-8 years of experience in AI/ML or automation engineering. Strong hands-on experience with CrewAI or other LLM orchestration frameworks like LangChain, AutoGen, or Semantic Kernel. Proficiency in Python, including experience with async programming and API integration. Deep understanding of LLMs (OpenAI, Anthropic, Mistral, etc.) and prompt engineering. Familiarity with vector databases (e.g., Pinecone, FAISS, Chroma) and embeddings. Experience building and deploying production-ready agent-based solutions. Strong problem-solving skills and ability to translate business requirements into technical implementations.

Deliver genAI features, AI Agents and Product Infra features e2e on AWS or Azure Cloud Demonstrate resilience in driving past rigorous test cycles to verify success of genAI features. Leverage Copilot/Cursor to maximize efficiency in dev cycle Required Candidate profile 5+ y SW dev. in Python, AWS or Azure 1+ y - LLM APIs, Prompt Eng, RAG, Self Learning AI Agents, Embeddings, Vector DBs, Langgraph, Langchain (Desirable) Exp in NLP, AI/ML FWs: TensorFlow, SageMaker

Job Title: Senior AI Engineer (Clinical Research) Required Experience: 3+ years Location: Pune Job Description: We are seeking a highly skilled and experienced Senior AI Engineer to lead the development and deployment of advanced artificial intelligence and machine learning solutions for clinical research initiatives. This role will drive innovation in clinical data extraction, patient cohort analysis, protocol optimization, and predictive modeling to support better decision-making and operational efficiencies in clinical trials. This position requires a strong combination of technical expertise, leadership skills, and business acumen . Key Responsibilities 1. AI/ML Development & Deployment Develop and deploy machine learning models for extracting, classifying, and analyzing structured and unstructured clinical data (e.g., EMRs, CRFs, protocols). Apply NLP techniques for entity recognition, relationship extraction, summarization, and semantic search of clinical trial texts. Build predictive models for trial success, patient recruitment, dropout risk, and adverse event detection. Lead the development of GenAI workflows, including LLM/SLM/VLM-based pipelines and multi-modal AI applications. Implement computer vision and OCR/IDP models for clinical document processing and imaging. 2. RAG (Retrieval-Augmented Generation) & LLM Engineering Design and optimize RAG workflows, including embedding and retrieval pipelines. Work with Gemini Flash 2.5 or similar models (e.g., GPT-4, Claude) for LLM-based clinical data tasks. Fine-tune prompt engineering, context window optimization, and chunking strategies. Integrate and manage vector stores such as FAISS, Chroma, or Vertex AI Matching Engine. 3. Data Engineering & Pipelines Collaborate with data engineers to build scalable pipelines for ingesting and transforming clinical and biomedical data (e.g., PubMed, CT.gov, EHR, imaging). Handle data cleansing, harmonization, annotation, and transformation for ML readiness. Develop ingestion processes for structured and unstructured sources: PDF, SCORM, HTML, internal documents. 4. Evaluation, Monitoring & Regulatory Compliance Evaluate models using domain-specific metrics (e.g., precision@k, response confidence) and build continuous feedback loops. Ensure transparency, explainability, and reproducibility in model design. Maintain compliance with HIPAA, GDPR, and GxP/ISO 13485 standards. 5. Leadership & Collaboration Lead and mentor a team of junior data scientists and ML engineers. Define and drive AI strategy aligned with clinical and regulatory objectives. Collaborate with clinical scientists, statisticians, product managers, and regulatory teams to translate clinical goals into technical AI solutions. 6. Project & Technical Ownership Own end-to-end execution of AI projects: scoping, design, development, deployment, monitoring. Provide technical direction in deep learning (CNNs, Capsule Networks, Variational Autoencoders, Graph Neural Networks). Ensure MLOps best practices, including CI/CD, monitoring, logging, and governance in cloud environments. Technical Skills & Experience Must-Have: Proficiency in Python (FastAPI/Flask), LangChain, HuggingFace, and vector database integrations. Experience with embedding techniques and vector similarity (cosine, dot product, top-k retrieval). Hands-on experience with GenAI models (e.g., Gemini Flash 2.5, GPT-4, Claude). Knowledge of biomedical ontologies (UMLS, SNOMED CT, MeSH) and EDC systems. Familiarity with CDISC, HL7 FHIR, and OMOP CDM standards for clinical data. Proven experience in deploying AI models on cloud platforms: AWS SageMaker, GCP Vertex AI, or Azure ML. Desirable: Exposure to MLOps, scientific ML, and data visualization tools. Experience with Google Cloud (AlloyDB, Vertex AI APIs, secure deployments). Working knowledge of LMS content ingestion (PDFs, SCORM, HTML). Familiarity with frameworks like LlamaIndex or Haystack. Qualifications Bachelors or Masters in Computer Science, Biomedical Engineering, Data Science, or related field. PhD preferred. 3+ years of AI/ML experience, with 1+ years in clinical research or healthcare. Strong leadership, communication, and stakeholder management skills. Demonstrated success in translating complex clinical problems into deployable AI solutions.

Job Summary We are seeking a detail-oriented and technically proficient GenAI Tester to validate and ensure the quality of Generative AI solutions. This role involves testing AI models, APIs, and integrated systems with a focus on Python-based automation, FastAPI endpoints, and advanced GenAI components such as Agentic AI and Vector Databases. Key Responsibilities - Design and execute test plans for GenAI applications and services. - Develop automated test scripts using Python for FastAPI endpoints and AI workflows. - Validate the functionality and performance of Agentic AI systems and Vector DB integrations. - Collaborate with developers and data scientists to understand model behavior and expected outcomes. - Perform regression, integration, and performance testing on GenAI components. - Document test cases, results, and defects with clarity and precision. - Ensure secure and ethical testing practices in alignment with organizational standards. Required Qualifications - Bachelors degree in Computer Science, Engineering, or related field. - 3+ years of experience in software testing, preferably in AI/ML environments. - Proficiency in Python and FastAPI for test automation. - Understanding of Generative AI concepts including Agentic AI and Vector Databases. - Experience with API testing tools and frameworks. - Strong analytical and problem-solving skills. Preferred Qualifications - Experience with MLOps and AI model lifecycle testing. - Knowledge of secure architecture and authentication/authorization mechanisms. - Familiarity with cloud-based testing environments (AWS, Azure, GCP). - Certifications in software testing or AI quality assurance. Why Join Us? Join a forward-thinking team dedicated to building and validating cutting-edge Generative AI solutions. Youll have the opportunity to work with innovative technologies, collaborate with top-tier professionals, and contribute to the development of secure and high-performing AI systems.

Job Summary: We are seeking a passionate and highly skilled Solution Architect Generative AI & Agentic AI to design, develop, and deploy intelligent systems leveraging large language models (LLMs), multiagent frameworks, and enterprise AI integration patterns. This role will play a key part in building next-generation AI applications that autonomously reason, act, and learn across complex business workflows.As a Generative & Agentic AI Solution Architect you will own the end-to-end architecture for enterprise-grade GenAI solutions and multi-agent systems. Youll translate business objectives into scalable, compliant, and observable AI capabilitiesspanning data pipelines, foundation-model ops, Retrieval-Augmented Generation (RAG), and autonomous agent orchestration. You will partner with product owners, data scientists, platform engineers, security, and business stakeholders to accelerate AI-driven transformation while safeguarding performance, ethics, and regulatory compliance. Key Responsibilities: 1. Solution Development: Design and implement applications using LLMs (e.g., OpenAI, Mistral, Claude, Llama) Build autonomous multi-agent systems using frameworks like AutoGen, LangGraph, CrewAI, or AgentOps Develop scalable backend services and orchestration pipelines using Python/Node.js integrated with AI APIs Lead discovery workshops, create MVP backlogs, and convert PoCs into production-ready solutions following MLOps / LLMOps best practices Oversee model selection, finetuning, prompt-engineering, evaluation, and continuous monitoring 2. Architecture & Engineering: Translate business requirements into agentic workflows with reasoning, memory, and tool usage Integrate GenAI and agents with enterprise systems (e.g., SAP, ServiceNow, Salesforce) via APIs and RAG pipelines Work with vector databases (e.g., Pinecone, FAISS, Weaviate) for semantic search and long-term memory Define reference architectures for GenAI (LLMs, Diffusion, SSMs) and agentic patterns (task-decomposition, planner-executor, tool-calling) Design secure micro-service and event-driven topologies on cloud / hybrid infra (AWS Bedrock, Azure OpenAI, Google Vertex, private GPUs) Required Technical Competencies: Generative AI: Hands-on with LLMs (GPT-4o, Claude-3, Gemini, Llama-3), Diffusion, and audio-/vision models; experience with HF Transformers, LangChain / LlamaIndex Agentic Frameworks: Experience designing goal-oriented agents using AutoGen, CrewAI, Semantic Kernel, or custom planners; familiarity with tool-calling, memory management, and AI schedulers LLMOps / MLOps: CI/CD for model artifacts, feature stores, vector DBs (Pinecone, Weaviate, FAISS), model gateways, and policy engines (Guardrails, Azure AI Safety) Cloud & DevSecOps: Terraform, Kubernetes, Docker, serverless, GPU orchestration, secret management, SAST/DAST integration Programming: Python (primary), TypeScript/Node, Bash; strong design-pattern discipline and code-review leadership Build replaceable but working proofofconceptsCLI, Streamlit, or VS Code Jupyterso stakeholders can touch” the idea Write production-grade Python/TypeScript to orchestrate agents with AutoGen / CrewAI / Semantic Kernel Hook agents to real systems (SAP BAPIs, Salesforce APIs, REST/GraphQL) and manage auth tokens & secrets Build CI/CD (GitHub Actions, Terraform, Helm) that auto-tests prompts, pushes Docker images, and provisions GPUs Instrument tracing (OpenTelemetry) and set up dashboards for tokens, latency, cost per call Education: Bachelor’s or master’s degree in computer science, Data Science, Artificial Intelligence, Engineering, or a related field Note: Working from office Mandatory

Summary: We are seeking an experienced AI Engineer with 4 to 5 years of experience to join our team. The ideal candidate will have a strong background in artificial intelligence and machine learning technologies, as well as a proven track record of developing innovative solutions. Roles and Responsibilities: - Design and develop AI algorithms and models to solve complex business problems - Implement and optimize machine learning algorithms for real-time applications - Collaborate with cross-functional teams to integrate AI solutions into existing systems - Conduct research and stay up-to-date on the latest advancements in AI technology - Provide technical guidance and mentorship to junior team members - Participate in code reviews and contribute to the overall software development process Qualifications: - Bachelor's degree in Computer Science, Engineering, or related field - 4 to 5 years of experience in AI development - Strong programming skills in languages such as Python, Java, or C++ - Experience working with Langchain, LangGraph, and vector databases (e.g., Pinecone, ChromaDB, FAISS). - Hands-on experience with Hugging Face ecosystem including transformers etc. - Proficiency in model serving and deployment, using tools like FastAPI, Hugging Face Inference Endpoints, or AWS SageMaker for scalable and production-grade AI applications. - Strong understanding of prompt engineering, retrieval-augmented generation (RAG), and tokenization/token-level optimization. - Proven experience with fine-tuning and deploying LLMs (e.g., LLaMA, Mistral, Falcon, OpenAI, or Hugging Face Transformers). -Experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn - Knowledge of cloud computing platforms such as AWS or Azure - Excellent problem-solving and analytical skills - Strong communication and teamwork abilities

We are seeking a Software Engineer with expertise in AI/ML and Full stack development to contribute to the development of core platform features. This role involves designing, developing, and optimizing high-performance AI-driven applications, building scalable microservices, and ensuring seamless integration across AI, backend, and frontend systems. You will play a key role in developing workflow automation modules, AI-powered search engines, and scalable enterprise solutions. Skills: P1 (must to have Skills) Generative AI Expertise/ AI Agents, Agentic Workflows/ RAG/ Prompt Engineering / Advanced Python Programming / LangChain / LangGraph / Vector Databases. P2 (need to have Skills ) FastAPI, NodeJS / Intuitive UI/UX Design: Either React or Typescript or Next.js. P3 (nice to have Skills) LlamaIndex / Integration of SLM/LLMs. Required Skills Generative AI Expertise : Advanced knowledge in AI Agents, Agentic Workflows, Retrieval-Augmented Generation (RAG), and Prompt Engineering. Advanced Python Programming : Proficiency in Python, particularly for AI-driven applications, with experience in frameworks like LangChain and LangGraph. Vector Databases : Strong skills in managing and utilizing vector databases for AI solutions. FastAPI & NodeJS : Experience in building backend services using FastAPI or NodeJS. UI/UX Design : Ability to design and implement intuitive user interfaces, with beginner to intermediate proficiency in React. LlamaIndex & SLM/LLM Integration : Familiarity with LlamaIndex and expertise in integrating System Language Models/Large Language Models into applications. Preferred Education and Experience: Bachelors/masters degree in computer science, AI, Machine Learning, or related field. At least 3 years in full-stack development with a focus on AI. Proven track record leading small engineering teams and delivering complex AI-driven products. Direct client-facing experience, from requirements gathering to final delivery.

We are looking for talented Python Developers to join our growing team working on innovative projects in enterprise scale AI applications and solutions. You will partner with Project Leads/Technical Architects in collaborative environment to build, deploy and maintain the solutions in both Non-Production and Production environments. Responsibilities: Develop solutions using AI tools / frameworks utilizing technologies such as Azure OpenAI, LLama3, and other open source Large Language Models (LLMs). Deepen your understanding of the data preparation process, the subtleties of the fine-tuning procedure, and the challenges it presents. Engage with Retrieval-Augmented Generation (RAG) to blend retrieval-based methods with generative models, improving outcomes in areas like question answering and document summarization. Build Agentic Workflows to enhance the capabilities of the AI Solution. You should not hesitate in learning and building innovative solutions in newer technology stacks. Technical Qualifications: Strong in developing, testing, and deploying enterprise applications using Python packages/frameworks. Experience in building and maintaining scalable APIs using FastAPI / Flask frameworks. Design and integrate AI assistants/chatbots, including custom development and third-party frameworks Experience in SQL / NoSQL databases including PostgreSQL, MySQL and MongoDB. Knowledge of vector databases and semantic search AI functionalities. Proficiency in Graph Databases Neo4j. Strong in building data ingestion pipelines, handling various data formats such as JSON and YAML. Mastery in Contextual Prompting: Ensure the preservation of conversational context to facilitate coherent and meaningful dialogue with LLMs. Experience with containerization tools like Docker and Kubernetes. Good Understanding of Basic Auth, two-way SSL, oauth2 or JWT token-based security. Experience with Bitbucket, Git/Hub, or other version control systems. Ability to develop and extend CI/CD pipelines (Jenkins, Docker) Generic Qualifications: Comfortable working with cross-functional teams product managers, data scientists, and other developers to deliver quality software solutions. Ensure software quality through code reviews, unit testing, and best practices for DevOps and CI/CD pipelines. Ability to manage time wisely across projects and competing priorities, meet agreed upon deadlines, and be accountable for work. Able to write maintainable and functionally tested modules. Interest in staying current with technology and mentoring others. Others: Willing to relocate or commute to North Bangalore (Yelahanka) for work. Candidates who have 3 to 6 years of relevant experience can only apply.

We are hiring a passionate Agentic AI Engineer with 2+ years of experience in building LLM-powered agent systems using LlamaIndex, Python, and frameworks like LangGraph, AutoGen, or CrewAI. Please find the JD JD: https://tinyurl.com/tencysagenticai

Hiring an AWS Data Engineer for a 6-month hybrid contractual role based in Bellandur, Bengaluru. The ideal candidate will have 46 years of experience in data engineering, with strong expertise in AWS services (S3, EC2, RDS, Lambda, EKS), PostgreSQL, Redis, Apache Iceberg, and Graph/Vector Databases. Proficiency in Python or Golang is essential. Responsibilities include designing and optimizing data pipelines on AWS, managing structured and in-memory data, implementing advanced analytics with vector/graph databases, and collaborating with cross-functional teams. Prior experience with CI/CD and containerization (Docker/Kubernetes) is a plus.

Job Title: GenAI Developer Location: Noida Experience: 5-7 years (minimum 2 years in Generative AI/LLM-based projects) Job Summary: We are looking for a hands-on and seasoned Generative AI Developer with proven expertise in building and deploying applications powered by Large Language Models (LLMs), especially open-source models, and handling unstructured data. This role combines strong technical acumen with leadership capabilities to drive end-to-end GenAI initiatives from prototype to production. Key Responsibilities : Lead design, development, and deployment of GenAI applications utilizing opensource LLMs (e.g., LLaMA, Mistral, Falcon, etc.). Build robust pipelines to extract, clean, and preprocess unstructured data (text, PDFs, images, etc.) for training and inference. Integrate LLMs with business workflows via APIs, vector databases (e.g., FAISS, Milvus, Pinecone), and prompt engineering. Fine-tune and optimize open-source LLMs for specific use-cases, including domain adaptation. • Mentor junior developers and guide project execution with Agile methodology. Evaluate and implement open-source tools, libraries, and frameworks to support scalable and cost-efficient GenAI solutions. Collaborate with cross-functional teams. Ensure security, compliance, and responsible AI practices during development and deployment. Required Skills & Qualifications : Bachelors or Masters degree in Computer Science, AI/ML, or related field. Strong hands-on experience with open-source LLMs (e.g., HuggingFace Transformers, LangChain, Llama.cpp). Proven experience in prompt engineering, RAG (Retrieval-Augmented Generation), and model fine-tuning. Proficient in handling unstructured data using tools like SpaCy, NLTK, OCR (Tesseract), or NLP libraries. Deep knowledge of Python and frameworks like PyTorch or TensorFlow. Experience with vector databases, embedding models, and knowledge graphs. Familiarity with cloud platforms (AWS, GCP, Azure) and containerization tools (Docker, Kubernetes). Excellent problem-solving skills. Good To Have : • Exposure to multimodal GenAI (text + image). Knowledge of data governance and AI ethics. Contributions to open-source GenAI projects or publications. Interested Candidates who have matching skill set and experience, can directly drop their resumes on 'Sonakshi.gupta@aptaracorp.com' .

Description Engineering at Innovaccer With every line of code, we accelerate our customers' success, turning complex challenges into innovative solutions. Collaboratively, we transform each data point we gather into valuable insights for our customers. Join us and be part of a team that's turning dreams of better healthcare into reality, one line of code at a time. Together, were shaping the future and making a meaningful impact on the world. About the Role The technology that once promised to simplify patient care has brought more issues than anyone ever anticipated. At Innovaccer, we defeat this beast by making full use of all the data Healthcare has worked so hard to collect, and replacing long-standing problems with ideal solutions. Data is our bread and butter for innovation. We are looking for a Software Development Engineer II (AI) who understands healthcare data and can leverage the data to build algorithms to personalize treatments based on the clinical and behavioral history of patients. The purpose for this role, would be to build agents for the platform, automating areas around support engineering and data engineering. We are looking for a superstar who will define and build the next generation of predictive analytics tools in healthcare. A Day in the Life Design and lead the development of various artificial intelligence initiatives to help improve health and wellness of patients Work with the business leaders and customers to understand their pain-points and build large-scale solutions for them. Proven ability to break down complex business problems into machine learning problems and design solution workflows. Work with our data platform team to help them successfully integrate the agent capability or algorithms in their product/workflows. Work with development teams to build tools for repeatable data tasks that will accelerate and automate development cycle. What You Need 3+ years of experience in Software Engineering, with experience inbuilding APIs, who understand how APIs function, and can effectively develop applications. Familiarity with Prompt Engineering and working experience in fine tuning LLMs Hands-on experience of working with Multi-Agent Systems with Frameworks like CrewAI/Langchain/Autogen (One of them is a must) and Prompt engineering. Hands-on with Vector Databases such as ChromaDB, FAISS etc. Experience in Reinforcement learning (RL), specially for autonomous agents. Working experience with Embedding models and RAG design. Strong hands-on experience in Python - building enterprise applications along with optimization techniques, along with working with API integrations (Fast API/Django) Hands on experience with at least one ML platform from amongst Databricks, Azure ML, Sagemaker Good to have - Comfortable with Docker, Kubernetes, AWS cloud technologies, Snowflake and also some experience in Healthcare. Preferred Skills Python - Building highly scalable and performant applications LLM - Deep experience in working and fine tuning LLM Models Re-inforcement Learning and MAS Vector Databases Here’s What We Offer Generous Leaves: Enjoy generous leave benefits of up to 40 days. Parental Leave: Leverage one of industry's best parental leave policies to spend time with your new addition. Sabbatical: Want to focus on skill development, pursue an academic career, or just take a break? We've got you covered. Health Insurance: We offer comprehensive health insurance to support you and your family, covering medical expenses related to illness, disease, or injury. Extending support to the family members who matter most. Care Program: Whether it’s a celebration or a time of need, we’ve got you covered with care vouchers to mark major life events. Through our Care Vouchers program, employees receive thoughtful gestures for significant personal milestones and moments of need. Financial Assistance: Life happens, and when it does, we’re here to help. Our financial assistance policy offers support through salary advances and personal loans for genuine personal needs, ensuring help is there when you need it most. Innovaccer is an equal-opportunity employer. We celebrate diversity, and we are committed to fostering an inclusive and diverse workplace where all employees, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, marital status, or veteran status, feel valued and empowered. Disclaimer: Innovaccer does not charge fees or require payment from individuals or agencies for securing employment with us. We do not guarantee job spots or engage in any financial transactions related to employment. If you encounter any posts or requests asking for payment or personal information, we strongly advise you to report them immediately to our HR department at px@innovaccer.com. Additionally, please exercise caution and verify the authenticity of any requests before disclosing personal and confidential information, including bank account details.

Hiring an AWS Data Engineer for a 6-month hybrid contractual role based in Bellandur, Bengaluru. The ideal candidate will have 7+ years of experience in data engineering, with strong expertise in AWS services (S3, EC2, RDS, Lambda, EKS), PostgreSQL, Redis, Apache Iceberg, and Graph/Vector Databases. Proficiency in Python or Golang is essential. Responsibilities include designing and optimizing data pipelines on AWS, managing structured and in-memory data, implementing advanced analytics with vector/graph databases, and collaborating with cross-functional teams. Prior experience with CI/CD and containerization (Docker/Kubernetes) is a plus.

Role and Responsibilities Develop and fine-tune LLMs using techniques like RAG, transfer learning, or domain-specific adaptation Build AI agents using frameworks like LangChain or CrewAI to manage dynamic and multi-step workflows Work with vector databases (e.g., Pinecone) to enable semantic search and retrieval Design and maintain ETL pipelines and ensure smooth data preprocessing and transformation Implement NLP solutions for tasks like intent detection, sentiment analysis, and content generation Develop backend APIs and services using Python frameworks like FastAPI or Flask Contribute to scalable microservice-based architectures Requirements Bachelor's degree in Computer Science, Information Technology, or a related field. 2 to 4 years in AI/ML development and backend system Machine Learning Fundamentals: Strong grasp of algorithms, model training, evaluation, and tuning Generative AI Models: Experience working with LLMs, RAG architecture, and fine-tuning techniques LangChain or Similar Frameworks: Hands-on experience building AI workflows using toolkits like LangChain Natural Language Processing (NLP): Proficiency in text analytics, classification, tokenization, embeddings Vector Databases: Practical use of tools like Pinecone, FAISS, or similar for retrieval-augmented generation Big Data Handling: Ability to work with large datasets, optimize storage, and processing pipelines SQL/NoSQL: Experience in querying and managing structured and unstructured data Python & API Development: Proficiency in Python and frameworks like FastAPI or Flask ETL & Data Preprocessing: Strong understanding of building pipelines for clean and efficient data processing Soft Skills: Strong problem-solving, communication, and collaboration abilities Good-to-Have Skills: Agentic AI Tools: Exposure to CrewAI or similar platforms for orchestrating multi-agent interactions Content Structuring: Experience in clustering, topic modeling, or organizing unstructured data ETL Enhancements: Advanced optimization techniques for faster and more efficient pipelines Domain Exposure: Prior work on projects involving customer insights, chat summarization, or sentiment analysis

We're Hiring | AI Lead GenAI & LLMs | 8-10 Yrs | Multiple Xebia Locations | Hybrid Locations: Bangalore | Hyderabad | Chennai | Pune | Bhopal | Jaipur | Gurugram (Hybrid 3 days/week in office) Experience: 8 to 10 years Joiners: Immediate to Max 2 Weeks Notice Period ONLY About the Role: Are you a visionary in the AI/ML space looking to build cutting-edge Generative AI solutions ? We are seeking an accomplished AI Lead who will architect and drive enterprise-grade AI systems—leveraging LLMs, deep learning models, vision AI, and GenAI . You’ll lead from the front, mentor top talent, and build transformative solutions that shape the future of intelligent applications. Key Responsibilities: Architect and implement scalable Generative AI (GenAI) and RAG solutions using LLMs , vision models , and vector databases Lead the design, development, and deployment of AI/ML and deep learning systems Integrate AI platforms with Azure AI Studio , SharePoint , and Power BI Guide the team in leveraging Agentic frameworks like LlamaIndex Align with business stakeholders to craft and deliver high-impact AI strategies Drive innovation, technical mentorship, and excellence across the AI team Establish coding best practices, performance tuning, and scalable solution design Must-Have Skills: 8–10 years of AI/ML experience, with 3+ years in leadership or architecture roles Proficiency in Python , TensorFlow , PyTorch , Scikit-learn Strong experience in LLMs , OCR , Vision AI , vector DBs , RAG Familiarity with Azure AI Studio , Azure Cloud Architecture , and Azure DevOps Exposure to Agentic frameworks and tools like LlamaIndex Basic working knowledge of Power BI and SharePoint Proven leadership and team management skills Good-to-Have: Experience with AWS or GCP Knowledge of DevOps practices , CI/CD , Kubernetes Awareness of AI ethics , governance , and compliance Exposure to advanced BI/visualization tools To Apply: Send your resume to vijay.s@xebia.com with the following details: Full Name Total Experience Current CTC Expected CTC Current Location Preferred Xebia Location (from above) Notice Period / Last Working Day (if serving) Primary Skills LinkedIn Profile Important: Apply only if you’re available to join immediately or within 2 weeks and are not currently in process with other roles at Xebia. #AIJobs #GenerativeAI #LLMs #VisionAI #XebiaHiring #ImmediateJoiners #Python #AzureAI #AIML #LeadershipHiring #DataScienceJobs #AgenticFrameworks #ChennaiJobs #PuneJobs #BangaloreJobs #HyderabadJobs #GurugramJobs #JaipurJobs #BhopalJobs #TechHiring #AILead

Interested suitable candidates please be in touch with roopashree.ry@sutherlandglobal.com Exp Level 8-15 Yrs Immediate Joiners preferred Delivery technical manager Detailed JD: Were looking for a Delivery Manager who thrives at the intersection of technical depth and execution leadership . As part of the Robility Platform team, youll play a critical role in delivering high-performance automation capabilities while staying hands-on with modern technologies like .NET Core, Rust, Redis, Postgres, NoSQL, Nginx , and vector databases . Youll lead scalable backend architecture efforts, solve real-world performance challenges, and shape how automation is delivered to enterprises globally. This role is ideal for a builder–leader with a product mindset and engineering expertise. Key Responsibilities: Lead the architecture and delivery of scalable backend services using .NET Core, Python, Rust, SQL, and NoSQL, driving real-time systems, search engines, and automation workflows. Design and implement technical solutions like matchmaking engines, real-time dashboards, and full-text search systems with Redis caching, vector databases, and modern API rate limiting. Optimize platform performance by debugging complex issues, improving query efficiency, and enhancing full-stack responsiveness across Django, React, Node.js, and PostgreSQL-based systems. Drive technology migration strategies , including re platforming Python services to Rust without user impact, while ensuring high system availability and performance. Architect infrastructure enhancements such as database sharding and Nginx proxy configurations to support secure, scalable, and resilient deployments. Collaborate cross-functionally with product, QA, DevOps, and engineering teams to ensure timely, high-quality feature delivery in a CI/CD and cloud-native environment. Required Skills & Experience: Experience: 8–12 years Strong hands-on expertise in .NET Core , C# , and modern backend development. Solid experience with SQL (e.g., PostgreSQL, MS SQL) and NoSQL (e.g., MongoDB, CosmosDB). Familiarity with Python and working knowledge or interest in Rust for high-performance services. Deep understanding of Redis , API rate limiting , and vector databases (e.g., Pinecone, Weaviate). Experience in debugging, root cause analysis, and production issue resolution. Knowledge of database sharding , query optimization, and infrastructure scaling. Hands-on experience with React , Node.js , and Nginx for full-stack optimization and proxy configuration. Familiarity with cloud-native environments (Azure/AWS/GCP), Docker, Kubernetes, and CI/CD pipelines. Nice to Have: Experience with RPA, low-code/no-code, or enterprise automation platforms. Exposure to observability stacks and performance telemetry tools. Comfort leading hybrid engineering teams and Agile project environments. Why Join Us? Contribute to a platform powering automation across global enterprises. Tackle technically complex and high-impact architecture challenges. Work in a forward-thinking environment with the freedom to innovate and deliver. Own delivery outcomes while staying deeply hands-on with emerging technologies.

Role & responsibilities Role: Senior Technical Lead Skill : AI/ML/GENAI, Python ( NumPy,Pandas, Scikit-learn, Keras, Flask, SciPy , TensorFlow, NLTK),GPT/PaLM/BERT, BART, Azure Cloud Billing Rate: USD 28 #of positions: 1 Work Location; Chennai (preferred), Bangalore , Hyderabad, Noida, Pune Notice Period: Immediate Joiners Those who are interested may send their resume to aswathy.rajan@hcltech.com