4 of 4 Permanent Retrieval-Augmented Generation Jobs in Birmingham

Solutions Develop and enhance GenAI applications using frameworks such as LangChain, LangGraph, or LlamaIndex , integrating with LLMs including GPT, Claude, and Gemini . Implement RAG Pipelines Support the design and delivery of Retrieval-Augmented Generation (RAG) solutions using vector databases such as Pinecone ...

/Vertex AI, including fine-tuning, vector search, and low-latency inference. Build end-to-end LLM applications, leveraging RAG (Retrieval-Augmented Generation), agentic workflows, and prompt engineering. Implement robust evaluation frameworks to monitor LLM quality, hallucinations, token usage, and content safety. Develop … Looking For Essential 5+ years' experience in machine learning engineering or applied AI roles. Recent, demonstrable experience with LLMs, Generative AI, and/or RAG-based systems. Strong Python skills using frameworks such as PyTorch, TensorFlow, Hugging Face, or Google GenAI. Experience with vector databases and retrieval-based ...

Server Actions) Proficiency in Supabase (database design, RLS, auth flows) Third-party API App Integration (incl. OpenAI, AI/LLM APIs) AI/ML: RAG implementation (Vector Databases, embeddings, semantic search) Stripe or Payment Gateway integration Solid Deployment Skills (e.g., Vercel, GCP) Experience with Git, Postman, and Webhooks for version ...

Important Client) profiles against property attributes to surface hyper-relevant travel recommendations. Intelligent Drafting: Build tools that assist managers in drafting complex itineraries, leveraging RAG to ensure every recommendation is backed by real-time perks and partnership data. System Orchestration: Design reliable, async environments for LLM tasks, ensuring source traceability ...