2,599 RAG Engineer jobs
Open roles building retrieval-augmented LLM applications.
AI Engineer Senior (k/m)
Senior AI engineer building an Agentic AI platform (Agno framework) for a banking client: designing multi-agent systems and LLM/RAG solutions integrated with bank systems via API, developing ML components in Python, and evaluating/monitoring quality, cost and security. Hybrid role, 2 days/week at the client's Warsaw office; employed via Exorigo-Upos.
Lead AI Developer - Generative AI/Python
Lead AI Developer in Bangalore leading design, development, and deployment of AI/ML and generative AI solutions — hands-on Python work with LLMs, RAG architectures, and frameworks like TensorFlow/PyTorch and LangChain, plus technical leadership, code review, and mentoring of AI developers.
Senior AI Engineer - Generative AI
Senior AI Engineer designs, builds and deploys generative-AI and machine-learning solutions: LLM applications (GPT, Llama, Claude), RAG pipelines, AI agents, and production ML systems with MLOps. Core stack: Python, TensorFlow/PyTorch, LangChain/LlamaIndex, vector databases (Pinecone, FAISS), and AWS/Azure/GCP.
AI Engineer / Programmer
Designs, builds, and deploys production LLM-powered applications — AI assistants, RAG pipelines, agentic workflows, and document-intelligence systems — for business use cases. Core stack: Python, SQL, LLM APIs (OpenAI/Claude/Hugging Face), vector databases, LangChain/LangGraph, and cloud platforms. 100% remote, graveyard shift, Philippines-based.
AI/ML Engineer
Persistent is hiring an experienced AI/ML Engineer (7-14 yrs) to design, build, and deploy AI, Generative AI, and Agentic AI solutions in Python — LLM apps, RAG pipelines, and agent frameworks (LangChain, AutoGen, CrewAI) — served via FastAPI and deployed on Azure with Docker, Kubernetes, and MLOps practices.
AI Architect - Generative AI
Designs enterprise generative-AI architecture — LLMs, RAG, multi-agent orchestration, embeddings, and guardrails — while leading architecture reviews across AI/ML, backend, and data teams. Works with Python/Java, LangChain/LangGraph, AWS Bedrock or Azure OpenAI.
AI Engineer
An AI Engineer in Cellebrite's Forensic Research Group builds and maintains LangGraph-based LLM agent systems that help extract forensic artifacts from mobile apps and cloud services, owning the full evaluation lifecycle (datasets, benchmarking, regression testing) from prototype to production. Core stack: Python, LangGraph, RAG/vector databases, and agentic protocols like MCP and A2A.
Exciting Opportunity | Python GenAI & Agentic AI Lead | Coforge
Lead role at IT services firm Coforge building enterprise GenAI and agentic AI solutions in Python — LLM-powered apps (GPT, Claude, Gemini, Llama), LangChain/LangGraph, RAG pipelines, multi-agent frameworks (CrewAI/AutoGen), vector databases, and FastAPI/Flask APIs deployed in enterprise environments.
Ai Engineer (data & Agentic Ai)
AI Engineer designing agentic AI workflows with Claude/LLMs, building RAG solutions and AI-powered data products using Python, SQL and Power BI, plus data pipelines and dashboards. Office-based role in Johannesburg/Gauteng, South Africa.
Senior Python - AI Developer
Senior AI engineer at Allianz Technology in Barcelona who designs, builds, and deploys enterprise AI solutions on Microsoft Azure (Azure OpenAI, Databricks, MLflow, Delta Lake), acting as the department's AI/cloud architecture SME with a focus on LLMs, RAG, and agentic AI use cases.
Senior Python - AI Developer
Senior Python/AI developer joining Making Science's AI Forge inside its AWAKE Venture Studio in Madrid, building LLM products like the Ally Partner AI agent from PoC to production. Day-to-day: FastAPI prototyping, RAG/GraphRAG with Neo4j and vector DBs, multi-agent orchestration with LangGraph/LangChain, and GCP MLOps with Vertex AI, Docker and Terraform.
Senior AI Engineer (Agents & Applications)
Role Summary The Senior AI Engineer (Agents & Applications) will design, build, and operate production-grade agentic systems that coordinate, optimize, and automate decision-making across the design-build-operate…
Data & AI Engineer
Build scalable data pipelines and production AI/ML solutions in Portugal using Python, Spark, SQL and Databricks, with a strong Generative AI focus — LLMs, RAG architectures, vector databases and prompt engineering — collaborating with data scientists and business stakeholders.
Software Development Leader – GenAI & LLM Engineering
Leads GenAI/LLM engineering work for Deloitte's US clients from Tel Aviv (hybrid): building scalable Python back ends and applying LangChain, RAG, agents, and vector databases to turn complex business problems into data-driven solutions.
AI Engineer
AI Engineer (hybrid, Belfast) recruited by VANRATH for an established client organisation: design, build and deploy AI-powered applications, integrating LLMs, AI APIs, RAG and agent-based automation into business systems using Python/TypeScript, LangChain/LangGraph and cloud platforms like Azure/AWS. Applicants must already be based in Northern Ireland; no visa sponsorship.
Senior AI/ML Engineer
Build and ship production-grade AI systems—LLM agents, retrieval, and event intelligence—that power incident management and automation at scale for thousands of customers.
AI Research Engineer: Vision AI / VLM / Physical AI-1
Centific (posted via OneForma) is hiring an AI Research Engineer to turn cutting-edge computer vision, vision-language model (VLM), and embodied/physical AI research into production modules — building and fine-tuning 2D/3D perception models, running VLM training/evaluation, and prototyping robotics pipelines in sim (NVIDIA Isaac/Omniverse). Core stack: PyTorch/Python, CUDA, Kubernetes/Docker/Ray/F
AI Engineer- R&D and Innovation Center
Develops GenAI applications and LLMs using Python, LangChain, RAG, and Vector Databases. Implements scalable code and collaborates with global teams to solve complex problems in an R&D center.
Machine Learning/AI Engineer
Hands-on AI engineer building production-grade GenAI and agentic workflows (exception triage, root-cause analysis, remediation) for financial services clients. Day to day: Python/FastAPI backends, SQL over large datasets, RAG, agent orchestration and tool calling, deployed on cloud. Remote role based in Porto Alegre, Brazil.