11 of 11 Remote/Hybrid Contract Retrieval-Augmented Generation Jobs

Large Language Model (LLM) integration and fine-tuning - Experience with Claude, GPT-4, or similar foundation models - Prompt engineering and chain-of-thought reasoning RAG & Knowledge Systems: - Retrieval-Augmented Generation (RAG) pipeline implementation - Vector database experience (CockroachDB, Pinecone, or similar) - Embedding model selection ...

Large Language Model (LLM) integration and fine-tuning- Experience with Claude, GPT-4, or similar foundation models- Prompt engineering and chain-of-thought reasoning RAG & Knowledge Systems:- Retrieval-Augmented Generation (RAG) pipeline implementation- Vector database experience (CockroachDB, Pinecone, or similar)- Embedding model selection ...

Strands Agents, LangGraph, or similar LLM integration and fine-tuning (Claude, GPT-4, or equivalent) Strong prompt engineering skills, including chain-of-thought reasoning RAG & Knowledge Systems Implementation of Retrieval-Augmented Generation (RAG) pipelines Experience with vector databases such as CockroachDB, Pinecone, or similar ...

engineering best practices Desirable Experience Ability to align ML strategies with long-term business and platform objectives Familiarity with emerging trends in generative AI, RAG workflows, or reinforcement learning Experience influencing architecture decisions at enterprise scale ...

scalable technical solutions Actively code, build and solve complex backend challenges Experience Required: Demonstrable experience of building and deploying complex AI applications using LLMs, RAG and agentic workflows GraphRAG/Knowledge Graph expertise - deep knowledge with Knowledge Graphs and vector databases Strong technical fluency - TypeScript/React, Langgraph/Langchain ...

scalable technical solutions Actively code, build and solve complex backend challenges Experience Required: Demonstrable experience of building and deploying complex AI applications using LLMs, RAG and agentic workflows GraphRAG/Knowledge Graph expertise - deep knowledge with Knowledge Graphs and vector databases Strong technical fluency - TypeScript/React, Langgraph/Langchain ...

scalable technical solutions Actively code, build and solve complex backend challenges Experience Required: Demonstrable experience of building and deploying complex AI applications using LLMs, RAG and agentic workflows GraphRAG/Knowledge Graph expertise - deep knowledge with Knowledge Graphs and vector databases Strong technical fluency - TypeScript/React, Langgraph/Langchain ...

access control Experience integrating with data and analytics platforms (ideally Microsoft Fabric, Power BI and Azure services ) Familiarity with LLM integration patterns (API usage, RAG, prompt design, feedback and telemetry capture) Strong Git and DevOps capability, including CI/CD pipelines and automated testing Comfortable working closely with designers, data ...

solutions that improve operational efficiency, regulatory compliance, and customer trust while leveraging advanced analytics and automation. Your Responsibilities Design, develop, and optimize RAG-based solutions integrating retrieval systems with large language models. Build and maintain applications using LangChain to orchestrate complex AI workflows. Implement and manage vector databases … scalable AI-powered applications. Fine-tune and evaluate large language models for specific use cases and domain adaptation. Optimize retrieval and generation workflows for performance, accuracy, and cost-efficiency. Stay updated on the latest advancements in generative AI, retrieval techniques, and vector search technology. ...

additional AI Engineer join the existing team on a expanding project. This role will be shipping production-grade GenAI features (e.g., retrieval-augmented generation, assistants, summarisation) that are safe, reliable, and measurable. This role is based in a Local office. This role will … guardrail incidents, drift, telemetry dashboards Required Skills & Experience: Python for application glue; Fast API for inference/middleware services. LLM integration patterns (prompt engineering, RAG, tool-use/agents, function calling). Evaluation & safety: automated prompt/response evals, LLM-as-a-judge, red-teaming, content filters, guardrails. LLMOps practices ...

agent orchestration frameworks (AWS Strands Agents, LangGraph, or similar). Integrate and fine-tune LLMs (Claude, GPT-4, or similar) for production use. Build RAG pipelines with vector databases and semantic search optimisation. Implement Model Context Protocol (MCP) and tool integration for LLMs. Ensure AI safety through guardrails, hallucination detection … interfaces, and CI/CD for ML systems. Required Skills AWS Bedrock (model selection, deployment, prompt engineering). Agentic workflows and multi-agent orchestration. RAG pipeline development and embedding optimisation. Advanced Python and AWS SDK (boto3). Experience with Claude, GPT-4 , or similar foundation models. Prompt engineering and chain ...