81 Vector Search Jobs

As an experienced software engineer in the field of AI/ML or Agentic AI systems, you will be responsible for a variety of tasks and projects related to cutting-edge technologies. Your role will involve utilizing your deep experience with LLMs, embeddings, vector search, knowledge graphs, and RAG/GraphRAG pipelines. Your programming expertise in Python, including knowledge of LangChain, Haystack, FastAPI, and modern backend frameworks, will be essential for this position. Key Responsibilities: - Designing and scaling distributed microservices, serverless functions, and CI/CD workflows - Utilizing AI frameworks such as LangChain, Hugging Face, OpenAI/Anthropic, Autogen, and Semantic Kernel - I...

Role Overview: At Advisor360, we are revolutionizing wealth management through technological advancements, enabling wealth management firms to enhance their operations, scalability, and client services. As a prominent SaaS platform in the fintech industry, we have gained the trust of major independent broker-dealers and RIAs to enhance the complete advisor and client experience, ranging from portfolio construction and reporting to compliance and client engagement. What truly sets us apart is not just our cutting-edge technology but also our dedicated team of individuals who are driven by a common purpose and passion for transforming the wealth management landscape. We believe in the power of...

Job Description Job Description: Senior Engineer AI/ML (Databricks Certified) We are seeking a highly skilled AI Engineer with proven experience in developing, deploying, and optimizing AI models using the Databricks AI platform. The ideal candidate will have a strong background in machine learning, distributed data processing, and will be a champion of Databricks platform. Responsibilities ? Generative AI: Experience of LLM-based solutions (LlamaIndex, LangChain, RAG pipelines, or similar frameworks). Ability to integrate GenAI and Agentic AI into business workflows. ? Design and implement end-to-end Generative AI solutions on Databricks, leveraging Unity Catalog, MLflow, Delta Lake, and Ve...

We're building production-grade LLM/AI capabilities into our Cloud Operating System and we need someone who can ship. If you like taking AI from prototype ? scalable product, this is for you. What you'll do Design and ship AI/LLM features that run in production Build RAG-style systems (embeddings, vector search) that actually perform Own model serving, observability, and reliability across our AI stack What we're looking for Strong Go (Golang) for production ML services LLMs, RAG, embeddings, vector search (FAISS / pgvector) PyTorch or TensorFlow and experience with model serving/inference MLOps : CI/CD, monitoring, evaluations, Docker/Kubernetes, GPUs Inference engine experience: e.g. vLLM,...

Data Scientist Primary Skills Data Science skill - Machine Learning, NLP, and LLMs Databricks Experience- 5 to 8yrs Specialization Data Science Advanced: Generative AI & Databricks Job requirements Job Title: Senior AI Engineer Generative AI & Databricks Experience: 5-8+ Years About the Role We are seeking a Senior AI Engineer with strong expertise in Generative AI (GenAI), Databricks, and end-to-end ML/LLM systems. You will be responsible for designing, building, and deploying intelligent, scalable GenAI solutions integrated into enterprise-grade data and analytics platforms. The ideal candidate combines strong software engineering, MLOps, and LLM engineering experience with the ability to ...

Location: Role is remote, however you must be based within a City location in India Our client who provides world's leading Agent and Agentic solution platform designed for teams looking to streamline operational efficiency and scale productivity without needing to add headcount is currently hiring for an AI Engineer. What You'll Do AI/ML Engineering Build and deploy production-grade AI/ML features using LLM APIs (OpenAI, Anthropic, etc.) and agent orchestration frameworks Design, implement, and optimize RAG pipelines including embedding strategies, vector search, and retrieval patterns Develop multi-agent systems with tool use, memory management, and planning capabilities using frameworks l...

An IT outsourcing company in India providing custom software, web & mobile

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way youd like, where youll be supported and inspired by a collaborative community of colleagues around the world, and where you ll be able to reimagine what s possible. Join us and help the world s leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Your Role Integrate LLMs (Llama, OpenAI, Claude, Mistral, Gemini) and embedding models into applications. Implement agentic workflows using LangGraph, AgentCore, Google SDK, applying patterns such as Planner-Executor, Reflection Loops, and Multi-Agent Orchestration. Build and optimize data ingest...

Position Title: Artificial Intelligence Specialist Position Description: Position Overview We are seeking a solution-oriented engineer who can identify where AI/LLM capabilities can transform business operations and architect practical integrations within enterprise software systems. This is not a traditional ML engineering or data science role focused on model training and deployment infrastructure. Key Responsibilities : AI Solution Strategy & Innovation Identify opportunities where AI/LLM integration can solve business problems and add value Evaluate emerging AI technologies (GPT, Claude, open-source LLMs, agent frameworks) for enterprise applicability Assess and recommend appropriate AI ...

Job Title: Python Full Stack Developer (Generative AI Specialist) Experience Required: (4-7 Years) Location: [Bangalore] Employment Type: [Full-time] Skills Required: Proficiency in Databricks Workflows, Delta Live Tables (DLT), PySpark, and SQL for designing scalable ETL pipelines within the Medallion Architecture (BronzeSilverGold). Strong knowledge of Unity Catalog and Delta Lake. Hands-on experience with Databricks Genie, Vector Search, and MLflow for developing, fine-tuning, and deploying AI/LLM-based solutions. Expertise in Databricks SQL Endpoints, LangChain, and RAG (Retrieval-Augmented Generation) frameworks for conversational analytics and chatbot development. Familiarity with DevO...

Key Skills: Programming: Java (JDK 8/17), Spring Boot, Spring Cloud GenAI Models: OpenAI GPT APIs (ChatGPT, GPT-4, GPT-4o-mini), Hugging Face models LLM Optimization: Work with data scientists and architects to enhance token efficiency, latency, and cost Vector Search & Databases: PgVector, MongoDB Atlas Vector Search Databases: PL/SQL with Oracle and PostgreSQL Model Orchestration: LangChain, LlamaIndex Cloud: AWS Deployment & CI/CD: Docker, Kubernetes, GitLab CI/CD Responsibilities: Develop and maintain scalable Java microservices integrated with GenAI models Collaborate with cross-functional teams for model deployment and optimization Ensure efficient data handling and secure API integrat...

Snowflake is about empowering enterprises to achieve their full potential and people too. With a culture that's all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology and careers to the next level. Snowflake is seeking a Data Scientist to join our expanding Enterprise AI & ML team. This role involves working on diverse AI/ML and data science initiatives, utilizing Snowflake's Data Cloud and Cortex AI. The successful candidate will design and develop scalable data science and machine learning solutions, build interactive AI applications, and collaborate on operationalizing intelligent systems to enhance data-driven dec...

Role & Responsibilities We are hiring a Senior Data Scientist with strong expertise in AI, machine learning engineering (MLE), and generative AI. You will play a leading role in designing, deploying, and scaling production-grade ML systems including large language model (LLM)-based pipelines, AI copilots, and agentic workflows. This role is ideal for someone who thrives on balancing cutting-edge research with production rigor and loves mentoring while building impact-first AI applications. Responsibilities Own the full ML lifecycle: model design, training, evaluation, deployment Design production-ready ML pipelines with CI/CD, testing, monitoring, and drift detection Fine-tune LLMs and imple...

Role Overview: As the founding ML Scientist, you will be responsible for designing and deploying the core recommendation and personalisation systems that drive the matchmaking experience. Your role will involve owning the full lifecycle of these systems, from design to deployment, and establishing the groundwork for a scalable, real-time ranking infrastructure. Key Responsibilities: - Own and develop match-making, recommendation, ranking, and personalisation systems. - Work on creating a novel real-time adaptive matchmaking engine that learns from user interactions and other signals. - Design ranking and recommendation algorithms to tailor each user's feed for a curated experience. - Build u...

Role Overview: You are being offered a role as the Founding Principal ML Engineer/ ML Scientist at an early-stage, US-based venture-backed technology company in Gurgaon. The company is focused on creating innovative platforms for building meaningful relationships by harnessing artificial intelligence. The core mission is to transform how people connect by delivering tailored content and fostering community engagement through a unique experience that resonates deeply with users. Key Responsibilities: - Own and develop match-making, recommendation, ranking, and personalization systems - Create a novel, real-time adaptive matchmaking engine that learns from user interactions and other signals -...

About Auxo AI Auxo AI is a fast-growing SaS (Service as a Software) company that empowers businesses to harness the power of artificial intelligence for automation, analytics, and smarter decision-making. Our mission is to help organizations accelerate growth by delivering intelligent, scalable, and customer-centric AI solutions leveraging our AI Orchestration platform - Damia. Role Overview AuxoAI is hiring a Senior Data Scientist with strong expertise in AI, machine learning engineering (MLE), and generative AI. You will play a leading role in designing, deploying, and scaling production-grade ML systems including large language model (LLM)-based pipelines, AI copilots, and agentic workflo...

As a Senior Data Scientist at Auxo AI, your role will involve owning the full ML lifecycle, including model design, training, evaluation, and deployment. You will be responsible for designing production-ready ML pipelines with CI/CD, testing, monitoring, and drift detection. Additionally, you will fine-tune LLMs, implement retrieval-augmented generation (RAG) pipelines, and build agentic workflows for reasoning, planning, and decision-making. Your responsibilities will also include developing real-time and batch inference systems using Docker, Kubernetes, and Spark, as well as collaborating with product and engineering teams to integrate AI models into business applications. Furthermore, you...

As a Lead Full Stack Developer at our company, you will play a crucial role in designing, developing, and maintaining scalable, secure, and high-performance web applications. You will work across the full stack, including frontend, backend, databases, messaging, and cloud infrastructure. Your responsibilities will include: - Designing, developing, and maintaining scalable, secure, and high-performance web applications. - Working across the full stackfrontend, backend, databases, messaging, and cloud infrastructure. - Developing RESTful and GraphQL APIs, ensuring efficiency and security. - Implementing real-time communication using sockets and messaging queues. - Collaborating with cross-func...

Level AI was founded in 2019 and is a Series C startup headquartered in Mountain View, California. Level AI revolutionizes customer engagement by transforming contact centers into strategic assets. Our AI-native platform leverages advanced technologies such as Large Language Models to extract deep insights from customer interactions. By providing actionable intelligence, Level AI empowers organizations to enhance customer experience and drive growth. Consistently updated with the latest AI innovations, Level AI stands as the most adaptive and forward-thinking solution in the industry. Empowering contact center stakeholders with real-time insights, our tech facilitates data-driven decision-ma...

Designation: Snowflake Engineer Location: Pune Experience: 4 to 6 years Job Description: We are seeking a highly skilled Senior Snowflake Engineer with hands-on experience in Snowflake Cortex , data engineering , and AI-driven solutions . The ideal candidate will be responsible for designing and building scalable data pipelines, optimizing data models, and developing AI-powered applications using Snowflake Cortex (LLM functions, RAG, and vector search). Key Responsibilities: Design and implement scalable ETL/ELT pipelines using Python and Snowflake. Build AI-powered assistants and automation using Snowflake Cortex (LLMs, RAG, vector search). Optimize data pipelines and queries for performanc...

About the Team: Join the dynamic Nykaa Data Science team as a Machine Learning Scientist II. In this role, you will contribute to analyzing data and developing machine learning models that enhance the relevance and ranking of our search platforms. You will work closely with cross-functional teams to gather performance metrics, evaluate search outcomes, and optimize the user experience on Nykaa's platform. This position offers the opportunity to collaborate in a fast-paced environment and make a significant impact on our search functionalities. What are we looking for Education : Bachelor's or Master's Degree in Data Science, Computer Science, Statistics, or a related field from a reputable i...

As an AI Project Lead Executive, you will be responsible for executing and managing the implementation of an AI-powered recruitment system. Your role will involve handling a structured database of 1,00,000 resumes and integrating AI into various stages of the hiring lifecycle. Your technical expertise and operational skills in HR tech, automation, and data management will be crucial for the success of this project. **Key Responsibilities:** - **Resume Database Structuring & Management** - Clean, convert, and structure bulk resume data (CSV/JSON) - Oversee OCR processing for scanned PDFs using tools like Tesseract - Manage resume storage in PostgreSQL, MongoDB, or Elasticsearch - **Resume Par...

Role Overview: As part of the team, you will be responsible for designing and developing a modular, scalable AI platform to serve foundation models and RAG-based applications. Your role will involve building pipelines for embedding generation, document chunking, and indexing. Additionally, you will develop integrations with vector databases like Pinecone, Weaviate, Chroma, or FAISS, and orchestrate LLM flows using tools like LangChain, LlamaIndex, and OpenAI APIs. Implementing RAG architectures to combine generative models with structured and unstructured knowledge sources will also be a key part of your responsibilities. You will create robust APIs and developer tools for easy adoption of A...

In this role as the founding ML lead at the company, you will be responsible for designing and deploying the core recommendation and personalization systems for a next-generation matchmaking platform. Your role will involve full ownership of the lifecycle, from ideation to production, of scalable, real-time ranking infrastructure that transforms sparse and dynamic user behavior into deeply personalized match suggestions. Key Responsibilities: - Build and scale matchmaking, recommendation, ranking, and personalization systems from scratch - Design a real-time adaptive matchmaking engine that evolves with user interactions and multi-modal signals - Develop algorithms for curated, personalized ...

Role: Senior Snowflake Engineer A Senior Snowflake Developer with Cortex experience is responsible for designing, building, and optimizing data solutions on the Snowflake platform, with a specific focus on leveraging Snowflake Cortex for AI-driven features like RAG (Retrieval- Augmented Generation), LLM functions, and vector search. Key responsibilities include developing scalable ETL/ELT pipelines, creating data models, implementing AI assistants, and coaching other team members, all while adhering to best practices in performance, cost control, and security. Skills: • Bachelors degree in Computer Science, Software Engineering, Information Technology, or related field required. • At least 4...