Browse Data & ML Jobs
Search 234 curated tech job listings scraped in real-time from LinkedIn, Glassdoor, RemoteOK, and more. Filter by role, location, seniority, and source to find your next opportunity.
234 jobs found for "Rag pipeline"
Page 1 of 12
AI Software Engineering Specialist
…Responsibilities Design and build production-grade agentic solutions end-to-end: multi-agent orchestration, RAG pipelines, policy-based routing, tool invocation, memory management, and lifecycle observability Build and own RAG pipelines: embeddings … OpenAI, Anthropic, Vertex AI) in production code: provider abstraction, token management, latency and cost tradeoffs RAG pipeline ownership: embeddings, chunking strategy, vector databases, and context engineering LLMOps fundamentals: eval harness design, prompt…
AI Native SW Engineering
…Responsibilities Design and build production-grade agentic systems end-to-end: multi-agent orchestration, RAG pipelines, policy-based routing, tool invocation, memory management, and lifecycle observability Build and own RAG pipelines: embeddings … OpenAI, Anthropic, Vertex AI) in production code: provider abstraction, token management, latency and cost tradeoffs RAG pipeline ownership: embeddings, chunking strategy, vector databases, and context engineering LLMOps fundamentals: eval harness design, prompt…
AI Native SW Eng
…Responsibilities Design and build production-grade agentic systems end-to-end: multi-agent orchestration, RAG pipelines, policy-based routing, tool invocation, memory management, and lifecycle observability Build and own RAG pipelines: embeddings … OpenAI, Anthropic, Vertex AI) in production code: provider abstraction, token management, latency and cost tradeoffs RAG pipeline ownership: embeddings, chunking strategy, vector databases, and context engineering LLMOps fundamentals: eval harness design, prompt…
AI Engineer
…build the appropriate AI solution for each initiative, whether that is an agent, a RAG pipeline, a document processing system, or something else Integrate foundation models (via API) into business applications … Model Context Protocol) servers and tool integrations where agent-based approaches are appropriate Build RAG pipelines that surface accurate, attributed answers from internal knowledge and data sources Transform AI capabilities into APIs…
Full-stack Python AI Engineer - Remote Work
…enterprise AI assistant serving thousands of employees, spanning agent and skill integrations, RAG pipelines, the API services behind them, and the interface built on top. The work leans backend … bring. What You'll Do: - Own features end to end, including agent and skill integrations, RAG pipelines, and supporting API services. - Build and maintain frontend interfaces within an established design system. - Validate…
AI/ML Engineer
…Core ML and Data Pipeline Engineering (65%) Implement and maintain components of production data and ML pipelines: ingestion jobs, feature and embedding pipelines, and Celery-based workers, under the direction of senior … understanding of model-serving concepts: latency, throughput, and batching, even without direct production ownership yet. RAG pipeline building blocks: chunking strategies, embeddings, and vector stores such as pgvector; able to contribute…
AI/ML Engineer
…Core ML and Data Pipeline Engineering (65%) Implement and maintain components of production data and ML pipelines: ingestion jobs, feature and embedding pipelines, and Celery-based workers, under the direction of senior … understanding of model-serving concepts: latency, throughput, and batching, even without direct production ownership yet. RAG pipeline building blocks: chunking strategies, embeddings, and vector stores such as pgvector; able to contribute…
GenAI Engineer
…LangChain, LangGraph, Semantic Kernel , and MCP-style orchestration patterns. Design and optimize prompt engineering strategies, RAG pipelines, embeddings, vector search, and knowledge-grounding workflows. Build, train, evaluate, and deploy classical … using frameworks such as: LangChain LangGraph Semantic Kernel MCP-style agent communication patterns Experience implementing RAG pipelines, embeddings, vector databases, and document ingestion architectures. Strong understanding of LLM constraints, prompt optimization, hallucination…
Senior Software Engineer - Integrations - AI/ML New
…strategy: designing connectors and patterns that make ClickHouse a natural fit in RAG architectures, ML feature pipelines, and LLM-powered data applications Engage actively with the open-source community: triage issues … they're becoming active participants in AI-powered workflows, serving as vector stores for RAG pipelines, backends for LLM-powered agents, and real-time feature stores for ML inference. You understand these…
Python Developer_LLM, Agnetic AI_Bangalore
…Location-Chennai / Bangalore Primary Role & Responsibilities: Design and implement GenAI solutions leveraging LLMs, RAG pipelines, and Agentic AI architectures. Develop and fine-tune deep learning models for NLP tasks using frameworks like … computer science, AI, Data Science, or related field. Retrieval Augmented Generation (RAG): Hands-on experience in building and optimizing RAG pipelines from scratch Expert-level proficiency and hands-on experience with LangChain…
Health AI Engineer
…benchmarks for LLM outputs, ensuring correctness, safety, and alignment with user expectations Build and maintain RAG pipelines and LLM-powered data workflows Develop cloud-native solutions on AWS (Lambda, S3, ECS, SageMaker … outcomes and empathy over process Demonstrated ability to detect and mitigate LLM hallucinations Experience with RAG pipelines: embeddings, chunking, vector databases Awareness of LLM security risks and mitigation strategies Ability to work…
Agentic AI and Data Engineer
…strong product skills to design AI applications that leverage prompting, retrieval-augmented generation (RAG), agentic orchestration, evaluation pipelines, and human-in-the-loop systems to deliver measurable impact. You will architect modular … memory management, and evaluation to enable rapid development of new AI capabilities. Integrate LLMs, embeddings, RAG pipelines, structured outputs, and long-context or memory mechanisms into production-ready systems. Apply advanced prompting…
Agentic AI and Data Engineer
…strong product skills to design AI applications that leverage prompting, retrieval-augmented generation (RAG), agentic orchestration, evaluation pipelines, and human-in-the-loop systems to deliver measurable impact. You will architect modular … memory management, and evaluation to enable rapid development of new AI capabilities. Integrate LLMs, embeddings, RAG pipelines, structured outputs, and long-context or memory mechanisms into production-ready systems. Apply advanced prompting…
AI / Agent Engineer
…agentic layer of our platform. You will craft the MCP servers, tools, skills and graph-RAG pipelines that make documents intelligible to multiple large language models, and partner with product, data … that expose the platform to multiple LLMs (e.g., Claude, Gemini). Design and refine the graph-RAG pipeline that transforms documents into agent-friendly representations of facts, entities, and relationships. Implement retrieval across…
AI Engineer
…grade AI systems end-to-end across client engagements. You will design agent orchestration, build RAG pipelines, and develop LLM-based solutions for enterprise-scale deployment within large data modernisation programmes where … human-in-the-loop control gates using frameworks such as LangGraph, AutoGen, or CrewAI. Build RAG pipelines that connect large language models to enterprise knowledge graphs, vector stores, and structured data sources…
AI Engineering & Automation Specialist New
…amazing people alongside. Your mission Design, build, and ship end-to-end agentic systems, RAG pipelines, embeddings, retrieval, prompt engineering, and evaluation, that automate Cloover's highest-volume internal workflows. Build … what will set you up for success in this role: You've shipped agentic systems, RAG pipelines, or AI-powered tools, in school, side projects, hackathons, or work, not just experimented with…
AI Engineering & Automation Specialist
…starken, eng vernetzten Team. Deine Aufgaben Konzipiere, baue und shippe end-to-end agentische Systeme, RAG-Pipelines, Embeddings, Retrieval, Prompt Engineering und Evaluation, die Cloovers volumenstärkste interne Workflows automatisieren. Entwickle und deploye … sind die Voraussetzungen für deinen Erfolg in dieser Rolle: Du hast bereits agentische Systeme, RAG-Pipelines oder KI-gestützte Tools geshippt — im Studium, in Side Projects, bei Hackathons oder im Job, nicht…
AI Engineering & Automation Specialist
…starken, eng vernetzten Team. Deine Aufgaben Konzipiere, baue und shippe end-to-end agentische Systeme, RAG-Pipelines, Embeddings, Retrieval, Prompt Engineering und Evaluation, die Cloovers volumenstärkste interne Workflows automatisieren. Entwickle und deploye … sind die Voraussetzungen für deinen Erfolg in dieser Rolle: Du hast bereits agentische Systeme, RAG-Pipelines oder KI-gestützte Tools geshippt — im Studium, in Side Projects, bei Hackathons oder im Job, nicht…
Gen AI Engineer
…Vector Databases for embedding storage and retrieval optimization. Design and implement GenAI lifecycle management and RAG pipelines (chunking, embedding, retrieval, re-ranking, summarization) for banking use cases. Evaluate and test embedding models … Django, Flask, FastAPI, KAFKA, Containerization (OpenShift, Docker etc.) Knowledge in GenAI lifecycle management and RAG pipelines. Expertise in prompt engineering and AI safety techniques. Hands-on experience with FastAPI, containerization (Docker/Kubernetes…
AI/ML & Forward Deployed Engineer New
…reliable AI products. The position involves solving complex business problems through technologies such as LLMs, RAG pipelines, NLP, forecasting, and anomaly detection. You will work across the full AI lifecycle, from experimentation … forecasting, classification, regression, and anomaly detection use cases. Develop production-grade GenAI applications using LLMs, RAG pipelines, embeddings, retrieval optimization, reranking, and prompt engineering. Design and implement AI evaluation frameworks to assess…