16 Vector Db Jobs

Role : Gen AI developer/ AI ML / ML operations/Data science Experience: 4 Years - 11 Years Locations: Bangalore/Chennai/Pune/Kolkata Notice Period: Immediate to 30 Days Mandatory Skills : Gen AI, LLM, RAG, Lang chain, Mistral,Llama, Vector DB, Azure/GCP/ Lambda, Python, Tensorflow, Pytorch Preferred Skills : GPT-4, NumPy, Pandas, Keras, Databricks, Pinecone/Chroma/Weaviate, Scale/Labelbox, Job Description / Roles & Responsibilities (in Detail) : We are looking for a good Python Developer with Knowledge of Machine learning and deep learning framework. Take care of entire prompt life cycle like prompt design, prompt template creation, prompt tuning/optimization for various GenAI base models Design and develop prompts suiting project needs Stakeholder management across business and domains as required for the projects Evaluating base models and benchmarking performance Implement prompt guardrails to prevent attacks like prompt injection, jail braking and prompt leaking Develop, deploy and maintain auto prompt solutions Design and implement minimum design standards for every use case involving prompt engineering You will be responsible for training the machine learning and deep learning model. Writing reusable, testable, and efficient code using Python Design and implementation of low-latency, high-availability, and performant applications Implementation of security and data protection Integration of data storage solutions and API Gateways Production change deployment and related support Interested candidates can share their updated CV to pravallika@wrootsglobal.in

Role & responsibilities Develop, test, and maintain backend services using Python and frameworks such as FastAPI or Flask . Implement and optimize LLM-based applications using models like OpenAI (GPT-4o) , Gemini , LLaMA , etc. Work on RAG implementations , including integration with vector databases and prompt engineering strategies. Design, build, and maintain database connectivity using SQL for infrastructure-level applications. Develop and deploy containerized applications using Docker , Git , GitHub , and integrate with CI/CD pipelines . Deploy and manage applications on cloud platforms ( AWS , Azure , GCP ). Ensure clean code practices including unit testing , error handling , Python best practices , and design patterns . Collaborate with cross-functional teams including Product, Data Science, and DevOps for end-to-end solution delivery. Preferred candidate profile Strong proficiency in Python programming . Familiarity with FastAPI , Flask , or similar web frameworks. Experience with SQL databases and connection management. Hands-on with LLMs and RAG workflows (OpenAI GPT, Gemini, LLaMA, etc.). Understanding of vector databases such as FAISS, Pinecone, or similar. Proficiency with Git , GitHub , and CI/CD pipelines . Experience with Docker for containerization. Exposure to any of the major cloud platforms AWS , Azure , or GCP . Ability to write unit test cases , implement robust error handling , and follow design patterns . Clear understanding of enterprise software development best practices . Someone who have experience working with Banking or Financial Services projects/clients. Immediate Joiner or someone serving notice period.

Roles and Responsibilities Develop and maintain Microservice architecture and API management solutions using REST and gRPC for seamless deployment of AI solutions. Collaborate with cross-functional teams, including data scientists and product managers, to acquire, process, and manage data for AI/ML model integration and optimization. Design and implement robust, scalable, and enterprise-grade data pipelines to support state-of-the-art AI/ML models. Debug, optimize, and enhance machine learning models, ensuring quality assurance and performance improvements. Familiarity with tools like Terraform, CloudFormation, and Pulumi for efficient infrastructure management. Create and manage CI/CD pipelines using Git-based platforms (e.g., GitHub Actions, Jenkins) to ensure streamlined development workflows. Operate container orchestration platforms like Kubernetes, with advanced configurations and service mesh implementations, for scalable ML workload deployments. Design and build scalable LLM inference architectures, employing GPU memory optimization techniques and model quantization for efficient deployment. Engage in advanced prompt engineering and fine-tuning of large language models (LLMs), focusing on semantic retrieval and chatbot development. Document model architectures, hyperparameter optimization experiments, and validation results using version control and experiment tracking tools like MLflow or DVC. Research and implement cutting-edge LLM optimization techniques, such as quantization and knowledge distillation, ensuring efficient model performance and reduced computational costs. Collaborate closely with stakeholders to develop innovative and effective natural language processing solutions, specializing in text classification, sentiment analysis, and topic modeling. Design and execute rigorous A/B tests for machine learning models, analyzing results to drive strategic improvements and decisions. Stay up-to-date with industry trends and advancements in AI technologies, integrating new methodologies and frameworks to continually enhance the AI engineering function. Contribute to creating specialized AI solutions in healthcare, leveraging domain-specific knowledge for task adaptation and deployment. Technical Skills: Advanced proficiency in Python . Extensive experience with LLM frameworks (Hugging Face Transformers, LangChain) and prompt engineering techniques Experience with big data processing using Spark for large-scale data analytics Version control and experiment tracking using Git and MLflow Software Engineering & Development: Advanced proficiency in Python, familiarity with Go or Rust, expertise in microservices, test-driven development, and concurrency processing. DevOps & Infrastructure: Experience with Infrastructure as Code (Terraform, CloudFormation), CI/CD pipelines (GitHub Actions, Jenkins), and container orchestration (Kubernetes) with Helm and service mesh implementations. LLM Infrastructure & Deployment: Proficiency in LLM serving platforms such as vLLM and FastAPI, model quantization techniques, and vector database management. MLOps & Deployment: Utilization of containerization strategies for ML workloads, experience with model serving tools like TorchServe or TF Serving, and automated model retraining. Cloud & Infrastructure: Strong grasp of advanced cloud services (AWS, GCP, Azure) and network security for ML systems. LLM Project Experience: Expertise in developing chatbots, recommendation systems, translation services, and optimizing LLMs for performance and security. General Skills: Python, SQL, knowledge of machine learning frameworks (Hugging Face, TensorFlow, PyTorch), and experience with cloud platforms like AWS or GCP. Experience in creating LLD for the provided architecture. Experience working in microservices based architecture. Domain Expertise: Deep understanding of ML and LLM development lifecycle, including fine-tuning and evaluation Expertise in feature engineering, embedding optimization, and dimensionality reduction Advanced knowledge of A/B testing, experimental design, and statistical hypothesis testing Experience with RAG systems, vector databases, and semantic search implementation Proficiency in LLM optimization techniques including quantization and knowledge distillation Understanding of MLOps practices for model deployment and monitoring Professional Competencies: Strong analytical thinking with ability to solve complex ML challenges Excellent communication skills for presenting technical findings to diverse audiences Experience translating business requirements into data science solutions Project management skills for coordinating ML experiments and deployments Strong collaboration abilities for working with cross-functional teams Dedication to staying current with latest ML research and best practices Ability to mentor and share knowledge with team members

ONLY 30 DAYS JOINERS Hello I hope you're doing well. We are currently hiring for an exciting opportunity with one of our top clients in the field of Generative AI . Based on your background, I believe this role could be a strong match for your expertise. Role Highlights: Location: Bangalore/Chennai/Kolkata/Pune/Hyderabad Experience Required: 11 -16 Years Notice Period: Maximum 30 Days CTC: As per market standards Mandatory Skills: Gen AI, LLM, ML/DL/NLP, RAG, LangChain, Mistral, Llama, Hugging Face, Python, TensorFlow, PyTorch, Django, Vector DB Preferred Skills: GCP/Azure/AWS, Databricks, MLOps (Kubeflow/Mlflow), Kubernetes, GitHub/Bitbucket, ADO, GPT-4 Key Responsibilities: Develop and implement advanced Generative AI models. Apply ML/DL algorithms for real-world applications across NLP and vision domains. Collaborate on data preprocessing, model training, and deployment. Drive innovation by staying current with industry trends and R&D in Gen AI. Ensure responsible AI practices and performance monitoring post-deployment. Mentor junior members and lead AI-driven project initiatives. If you're interested or know someone who fits this role, please share your updated resume and current CTC/Notice Period details. WhatsApp: 987153039 Email: shweta.gupta@sspearhead.com Warm Regards SHWETA GUPTA || Senior Recruitment Specialist Spearhead Professional Services Call/ WhatsApp: 9871530393 LinkedIn Profile: shwetagupta1810

ONLY 30 DAYS JOINERS Hello I hope you're doing well. We are currently hiring for an exciting opportunity with one of our top clients in the field of Generative AI . Based on your background, I believe this role could be a strong match for your expertise. Role Highlights: Location: Bangalore/Chennai/Kolkata/Pune/Hyderabad Experience Required: 1118 Years Notice Period: Maximum 30 Days CTC: As per market standards Mandatory Skills: Gen AI, LLM, ML/DL/NLP, RAG, LangChain, Mistral, Llama, Hugging Face, Python, TensorFlow, PyTorch, Django, Vector DB Preferred Skills: GCP/Azure/AWS, Databricks, MLOps (Kubeflow/Mlflow), Kubernetes, GitHub/Bitbucket, ADO, GPT-4 Key Responsibilities: Develop and implement advanced Generative AI models. Apply ML/DL algorithms for real-world applications across NLP and vision domains. Collaborate on data preprocessing, model training, and deployment. Drive innovation by staying current with industry trends and R&D in Gen AI. Ensure responsible AI practices and performance monitoring post-deployment. Mentor junior members and lead AI-driven project initiatives. If you're interested or know someone who fits this role, please share your updated resume and current CTC/Notice Period details. WhatsApp: 9871530393 Email: shweta.gupta@sspearhead.com Warm Regards SHWETA GUPTA || Senior Recruitment Specialist Spearhead Professional Services Call/ WhatsApp: 9871530393 LinkedIn Profile: shwetagupta1810

Proven experience in developing and implementing Generative AI models and algorithms, with a strong understanding of deep learning fundamentals. Experience with training and fine-tuning Generative models on high-performance computing infrastructure. Experience in working with Vector DB and Embedding Proficiency in programming languages such as Python, NLP, TensorFlow, PyTorch, or similar frameworks for building and deploying AI models. Strong analytical and problem-solving and collaboration skills A passion for exploring new ideas, pushing the boundaries of AI technology, and making a meaningful impact through your work.

Job Description Senior Java Developer Location- Pune/Chennai/Bangalore/Coimbatore Exp- 4 yrs to 8 yrs Technical Skills (Must have): Core Java Development Design Patterns Message queues (Kafka/RabitMQ) SQL - NoSQL - Vector DB Cloud services (Any of Azure/GCP/AWS) Docker basics and Maven Optional Skills : Servlet > Tomcat server > Python basics Check Your Resume for Match Upload your resume and our tool will compare it to the requirements for this job like recruiters do.

Seeking AI Engineer to build intelligent, task-driven agents using React & FastAPI. Must blend AI/ML expertise with software skills to create scalable, modular systems for API/UI interaction. Required Candidate profile 1. 2+ yrs in AI dev 2. Strong in FastAPI, React, Python 3. Built LLM-based agent workflows 4. Used vector DB, LangChain, OpenAI 5. Deployed on cloud(Azure, AWS, GCP) 6. Scalable, UI-integrated systems

Seeking Full-Stack Developer to build intelligent, task-driven AI agents using React & FastAPI. Must blend AI/ML expertise with software skills to create scalable, modular systems for API/UI interaction. Required Candidate profile 1. 2+ yrs in software (Full-Stack) development 2. Strong in Next.js 3. Built scalable web apps 4. Well-versed with prompt engineering

Key Responsibilities Design and implement GenAI architectures leveraging Google Cloud and Gemini AI models Lead solution architecture and integration of generative AI models into enterprise applications Collaborate with data scientists engineers and business stakeholders to define AI use cases and technical strategy Develop and optimize prompt engineering, model fine tuning, and deployment pipelines Design scalable data storage and retrieval layers using PostgreSQL BigQuery and vector databases e.g.Vertex AI Search Pinecone or FAISS Evaluate third party GenAI APIs and tools for integration Ensure compliance with data security privacy and responsible AI guidelines Support performance tuning monitoring and optimization of AI solutions in production Stay updated with evolving trends in GenAI and GCP offerings especially related to Gemini and Vertex AI Required Skills and Qualifications Proven experience architecting AI and ML or GenAI systems on Google Cloud Platform Hands-on experience with Google Gemini Vertex AI and related GCP AI tools Strong understanding of LLMs, prompt engineering and text generation frameworks Proficiency in PostgreSQL, including advanced SQL and performance tuning Experience with MLOps, CI and CD pipelines, and AI model lifecycle management Solid knowledge of Python, APIs, RESTful services, and cloud native architecture Familiarity with vector databases and semantic search concepts Strong communication and stakeholder management skills Preferred Qualifications GCP certifications e.g., Professional Cloud Architect Machine Learning Engineer Experience in model fine-tuning and custom LLM training Knowledge of LangChain, RAG Retrieval Augmented Generation frameworks Exposure to data privacy regulations GDPR, HIPAA, etc. Background in natural language processing NLP and deep learning

Job Description: We are looking for a skilled Data / Analytics Engineer with hands-on experience in vector databases and search optimization techniques . You will help build scalable, high-performance infrastructure to support AI-powered applications like semantic search , recommendation systems , and RAG pipelines . Key Responsibilities: Optimize vector search algorithms for performance and scalability. Build pipelines to process high-dimensional embeddings (e.g., BERT , CLIP , OpenAI ). Implement ANN indexing techniques like HNSW , IVF , PQ . Integrate vector search with data platforms and APIs . Collaborate with cross-functional teams (data scientists, engineers, product). Monitor and resolve latency , throughput , and scaling issues. Must-Have Skills: Python AWS Vector Databases (e.g., Elasticsearch , FAISS , Pinecone ) Vector Search / Similarity Search ANN Search Algorithms HNSW , IVF , PQ Snowflake / Databricks Embedding Models – BERT , CLIP , OpenAI Kafka / Flink for real-time data pipelines REST APIs , GraphQL , or gRPC for integration Good to Have: Knowledge of semantic caching and hybrid retrieval Experience with distributed systems and high-performance computing Familiarity with RAG (Retrieval-Augmented Generation) workflows Apply Now if You: Enjoy solving performance bottlenecks in AI infrastructure Love working with cutting-edge ML models and search technologies Thrive in collaborative , fast-paced environments

V2Soft India Pvt Ltd Experience: 10+ years of experience in the field of AI and ML ( Machine Learning ) Overall Experience : Location: Bangalore and Chennai Work Mode: Hybrid Mode: Notice Period: Immediate to 30 days Experience : 3 Years of relevant experience and previous work in any related AI is a plus. Gen AI Experience Text embeddings Vector DB AI Frameworks [ Lang chain / Lama Index/ Language Graph ] Prompt Engineering & Techniques RAG ( Retrieve Augment and Generate ) MCP ( Model Context Protocol ) Agentic AI LLM ( Large Language Models , both open source and proprietary ) Measuring Model Accuracy Deploying Models on-prem and on the cloud

We are seeking a highly skilled and innovative Data Engineer to join our dynamic team. This role is ideal for professionals passionate about building scalable data pipelines and enabling machine learning and analytics at scale. Youll play a key role in designing and implementing systems that support real-time and batch data processing for advanced AI-driven use cases, including Retrieval-Augmented Generation (RAG). Key Responsibilities: Develop, maintain, and scale data pipelines using Airflow (preferably Metaflow ) and other orchestration tools. Design microservices-based data solutions to support AI/ML initiatives. Work with vector databases to optimize data retrieval for RAG and generative AI models. Collaborate with data scientists, ML engineers, and software engineers to integrate data engineering solutions into broader systems. Ensure data quality, reliability, and governance across all data pipelines and storage layers. Required Skills: Proficiency in Python for data processing, scripting, and service development. Experience with Airflow (Metaflow preferred) or other workflow orchestration tools. Strong knowledge of Microservices architecture and REST APIs. Familiarity with RAG (Retrieval-Augmented Generation) frameworks and concepts. Experience with Vector databases (e.g., Pinecone, FAISS, Weaviate, Qdrant). Solid understanding of data modeling, ETL/ELT processes, and cloud data platforms.

Senior AI Developer Experience: 4 - 6 Years Exp Salary : INR 20-30 Lacs per annum Preferred Notice Period : Within 60 Days Shift : 2:30PM to 11:30PM IST Opportunity Type: Hybrid (Hyderabad) Placement Type: Permanent (*Note: This is a requirement for one of Uplers' Clients) Must have skills required : AI RAG, Fast or Flask API, Vector DB, postgresql, Python, Langchain OR Llama Good to have skills : Grafana or Prometheus, Docker, Kubernetes K-3 Innovations (One of Uplers' Clients) is Looking for: Senior AI Developer who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you. Role Overview Description About K3-Innovations K3-Innovations, Inc. is building a cutting-edge, AI-driven SaaS platform that automates critical workflows in the biopharma industry. We are expanding our team with an AI RAG Engineer who will help us design and optimize retrieval-augmented generation (RAG) pipelines for knowledge workflows. This role combines deep expertise in database design, vector search optimization, backend architecture, and LLM (Large Language Model) integration. You will play a key role in building a scalable AI platform, bridging structured and unstructured biopharma data with next-generation AI. If you're passionate about building intelligent retrieval systems, fine-tuning prompt pipelines, and optimizing LLM-based applications for real-world datasets, we want to hear from you! Key Responsibilities 1. RAG Pipeline Design and Optimization (Priority #1) Architect and implement retrieval-augmented generation pipelines integrating document retrieval and LLM response generation. Design and maintain knowledge bases and vector stores using tools like FAISS, Weaviate, or PostgreSQL PGVector. Optimize retrieval mechanisms (chunking, indexing strategies, reranking) to maximize response accuracy and efficiency. Integrate context-aware querying from structured (Postgres) and unstructured (text/PDF) sources. 2. Database and Embedding Management Design relational schemas to support knowledge base metadata and chunk-level indexing. Manage embeddings pipelines using open-source models (e.g., HuggingFace sentence transformers) or custom embedding services. Optimize large-scale vector search performance (indexing, sharding, partitioning). 3. LLM and Prompt Engineering Develop prompt engineering strategies for retrieval-augmented LLM pipelines. Experiment with prompt chaining, memory-augmented generation, and adaptive prompting techniques. Fine-tune lightweight LLMs or integrate APIs from OpenAI, Anthropic, or open-source models (e.g., LlamaIndex, LangChain). 4. Backend API and Workflow Orchestration Build scalable, secure backend services (FastAPI/Flask) to serve RAG outputs to applications. Design orchestration workflows integrating retrieval, generation, reranking, and response streaming. Implement system monitoring for LLM-based applications using observability tools (Prometheus, OpenTelemetry). 5. Collaboration and Platform Ownership Work closely with platform architects, AI scientists, and domain experts to evolve the knowledge workflows. Take ownership from system design to model integration and continuous improvement of RAG performance. Required Skills AI RAG Engineering (Most Critical) Knowledge Retrieval: o Experience building RAG architectures in production environments. o Expertise with vector stores (e.g., FAISS, Weaviate, Pinecone, PGVector). o Experience with embedding models and retrieval optimization strategies. Prompt Engineering: o Deep understanding of prompt construction for factuality, context augmentation, and reasoning. o Familiarity with frameworks like LangChain, LlamaIndex, or Haystack. Database and Backend Development (Essential) PostgreSQL Expertise: o Strong proficiency in relational and vector extension design (PGVector preferred). o SQL optimization, indexing strategies for large datasets. Python Development: o Experience building backend services using FastAPI or Flask. o Proficiency with async programming and API integrations. Observability and DevOps (Supportive) System monitoring for AI workflows using Prometheus, Grafana, OpenTelemetry. Familiarity with Docker, Kubernetes-based deployment pipelines. Preferred Experience (Bonus but not Required) Working with large-scale scientific or healthcare datasets. Exposure to clinical standards like SDTM, ADaM (advantageous for biopharma workflows). Experience integrating domain-specific ontologies into retrieval systems. Familiarity with fine-tuning LLMs on private knowledge bases. What Were Looking For AI Problem Solver: You are excited by combining retrieval, reasoning, and generative capabilities to solve real-world problems. Backend and Data Specialist: You understand database performance and scalable architectures for retrieval and serving. Builder's Mindset: You thrive in dynamic, evolving environments where you can architect and implement end-to-end solutions. What We Offer Meaningful Impact: Build AI systems that accelerate workflows in the critical biopharma space. Technical Growth: Deepen your expertise in retrieval-augmented generation and scalable AI systems. Remote Flexibility: Results-driven work culture with location flexibility. Competitive Compensation: Attractive salary, benefits, and learning opportunities. Join Us Help us revolutionize how biopharma manages and accesses knowledge through the power of AI. How to apply for this opportunity: Easy 3-Step Process: 1. Click On Apply! And Register or log in on our portal 2. Upload updated Resume & Complete the Screening Form 3. Increase your chances to get shortlisted & meet the client for the Interview! About Our Client: K3-Innovations is redefining clinical research with a strategic scaling approach, blending AI-powered automation, adaptive clinical resourcing, and advanced data science. As a next-generation CRO, we provide flexible FSP models, regulatory-compliant statistical programming, and AI-driven analytics to accelerate clinical trial execution and regulatory submissions. About Uplers: Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career. (Note: There are many more opportunities apart from this on the portal.) So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Job Description Requirement Name / Title GenAI Developer Work Location Chennai/ Bangalore/Pune/Kolkata Shift General Shift Mandatory Skills Gen AI, LLM, RAG, Lang chain, Mistral,Llama, Vector DB, Azure/GCP/ Lambda, Python, Tensorflow, Pytorch Preferred Skills GPT-4, NumPy, Pandas, Keras, Databricks, Pinecone/Chroma/Weaviate, Scale/Labelbox, Job Description / Roles & Responsibilities (in Detail) We are looking for a good Python Developer with Knowledge of Machine learning and deep learning framework. • Take care of entire prompt life cycle like prompt design, prompt template creation, prompt tuning/optimization for various GenAI base models • Design and develop prompts suiting project needs • Stakeholder management across business and domains as required for the projects • Evaluating base models and benchmarking performance • Implement prompt guardrails to prevent attacks like prompt injection, jailbreaking and prompt leaking • Develop, deploy and maintain auto prompt solutions • Design and implement minimum design standards for every use case involving prompt engineering • You will be responsible for training the machine learning and deep learning model. • Writing reusable, testable, and efficient code using Python • Design and implementation of low-latency, high-availability, and performant applications • Implementation of security and data protection • Integration of data storage solutions and API Gateways • Production change deployment and related support If you're interested or know someone who fits this role, feel free to reach out. WhatsApp: 9871530393 Email: shweta.gupta@sspearhead.com Warm Regards SHWETA GUPTA || Senior Recruitment Specialist Spearhead Professional Services Call/ WhatsApp: 9871530393 LinkedIn Profile: shwetagupta1810

Responsibilities: * Design generative AI solutions using LLM, Python, SQL & NLP techniques. * Collaborate with cross-functional teams on project delivery. * Implement RNN, LSTM, GRU models for text analysis.