2,591 RAG Engineer jobs
Open roles building retrieval-augmented LLM applications.
AI/ML Software Engineering - Talent Pipeline
Fullsteam, a vertical software and embedded payments provider, is building an evergreen talent pipeline for upcoming AI/ML software engineering roles. The work spans scalable backend services, APIs and data pipelines, plus LLM-based agentic systems and ML models, using Python, FastAPI, and AWS (Lambda, Bedrock, OpenSearch).
Senior AI Engineer
Are you passionate about AI? 🤖 At Satori Analytics, we aim to change the world one algorithm at a time by bringing clarity to global brands through Data & AI. From cloud-based ecosystems for fintech to predictive…
Python Developer (GenAI) (Reston)
Senior Full Stack GenAI Engineer with 10+ years of experience to design and build agentic AI solutions that automate enterprise workloads and business processes. The ideal candidate will have strong expertise in…
AI/ML Engineer and Lead AI Architect & Engineering Lead (Hands-on)
Company Description InnoFissionAI is a forward-thinking brand focused on redefining digital transformation through AI and cutting-edge platforms. The company delivers innovative, scalable, and data-driven solutions and…
Machine Learning Engineer II
Mid-level machine learning engineer at Kensho (S&P Global's AI innovation hub) in New York, building end-to-end RAG and agentic search pipelines: retrieval models, embeddings, vector databases, and LLM orchestration over large unstructured financial datasets. Core stack includes Python, PyTorch, LangChain, PGVector/OpenSearch, and AWS/Kubernetes.
Senior Security Engineer, AI/ML
Senior engineer who both builds and attacks AI systems: develops GenAI apps, agentic pipelines, and RAG architectures (LangChain, LlamaIndex, vector DBs, Python) for threat detection, while red-teaming those same systems for prompt injection and adversarial threats. Sits on Qualys's security team doing hands-on ML engineering plus offensive AI security research.
AI Research Engineer: Vision AI / VLM / Physical AI-1
Research engineer at an AI data foundry translating cutting-edge vision research — VLMs, 2D/3D perception, embodied/physical AI — from paper to production. Daily work spans model training in PyTorch, rigorous ablations, and deployment via FastAPI, Ray, Docker, and Kubernetes, with optional robotics simulation in NVIDIA Isaac/Omniverse.
Sr Software AI Engineer
Senior engineer on Upwork's Lifted team builds GenAI product features end-to-end — RAG pipelines over catalog and customer reviews, LLM-driven personalization, a conversational Wellness Agent, and agentic workflows — plus the shared AI platform (evals, guardrails, observability), owning spec-to-production and on-call. Core stack: Python, LLM/RAG tooling, and AI-assisted dev tools like Claude Code.
Machine learning Engineer - LLM/Generative AI System
Job Description : - Design and deploy multi-agent orchestration platforms for manufacturing automation and business process automation using frameworks such as LangGraph, CrewAI, and LangChain. - Build enterprise LLM…
Artificial Intelligence Engineer - Generative AI/LLM
Key Responsibilities : - Design, develop, and deploy AI and machine learning solutions for business applications. - Build and integrate generative AI applications using large language models (LLMs). - Develop…
Baker Tilly - Forward Deployed AI Engineer
Role Overview: We are looking for an experienced Forward Deployed AI Engineer to design, build, and deploy AI-powered solutions that address real-world business challenges. The role combines software engineering,…
Gen AI Developer
A Gen AI Developer at Capgemini Invent in Warsaw (hybrid) designs, builds, and deploys generative AI applications — fine-tuning LLMs, implementing RAG and multimodal features, and scaling solutions on cloud platforms using Python and frameworks like LangChain and Hugging Face.
Python Gen AI Engineer
A Navi Mumbai-based engineer who designs, builds, and deploys Generative AI and LLM applications — RAG pipelines with LangChain/LlamaIndex, vector databases, and Python/SQL data and ETL pipelines — then operationalizes them on AWS, Azure, or GCP using MLOps/LLMOps practices.
Gen AI Engineer
Builds generative-AI capabilities for humanoid and autonomous security robots: multimodal AI agents, agentic/advanced RAG pipelines, and LLM/VLM integration with robotic control systems. Core stack includes Python, FastAPI, LangGraph/AutoGen, ROS/ROS2, vector databases, and AWS, Azure or GCP.
LLM Engineer
Builds and ships LLM-powered applications: writing and optimizing prompts, creating RAG pipelines with vector databases, applying NLP techniques, and deploying/monitoring models in the cloud. Core stack is Python with GPT/Llama/Gemini models, LangChain/LlamaIndex, and FAISS/Pinecone/Chroma.
Senior Generative AI / Agentic AI Engineer
Team-lead role designing, building, and deploying production generative-AI and agentic-AI systems on Azure — RAG pipelines, LLM integrations, embeddings, and knowledge graphs — while managing and mentoring a 5–15 member engineering team. Core stack: Python/.NET, Azure OpenAI, FastAPI, Azure Functions, Cosmos DB, Azure AI Search.
AI Developer – For Chennai location
Builds an AI-powered intelligent document processing and workflow automation platform for an HR outsourcing company: LLM/agent pipelines that classify, extract, validate, and route business documents (PDFs, invoices, payroll, insurance) with human-in-the-loop review. Core stack: Python, FastAPI, LLM APIs (OpenAI, Bedrock, Claude), OCR, RAG, AWS, Docker.
IN_Sr Associate_MERN Engineer+GenAI_AppTech_Advisory_KOLKATA (Early joiners)
Job Description & Summary: A career within Enterprise Architecture services, will provide you with the opportunity to bring our clients a competitive advantage through defining their technology objectives, assessing…
Senior AI/ML Engineer
Client-facing AI Solutions Architect who partners with enterprise customers to design scalable AI solutions, lead technical decisions, and steer delivery teams through production deployments. The role blends consulting work (scoping, stakeholder management, presentations) with hands-on AI expertise in Python, RAG, LLMs, LangChain, and major cloud platforms.