7 of 7 Permanent LangGraph Jobs in Midlothian

experience·Applied AI engineering, ML engineering or software engineering background·Experience with LLMs, RAG, embeddings, prompt engineering or fine tuning·Exposure to LangChain, LangGraph, Agent Development Kit or similar agent frameworks·Experience with vector databases such as Pinecone, Chroma or similar·API development experience, ideally with FastAPI or similar frameworks ...

quantitative optimization. Academic publications, preprints, or open-source contributions. Experience building and deploying AI agents and agentic workflows using open-source frameworks (e.g. LangGraph, Pydantic AI, OpenAI Agents SDK), agent platforms (e.g. Amazon Bedrock, Microsoft Agent Framework, Claude Agent SDK), or comparable tools, including standards such as Model Context Protocol ...

real-world impact highly desirable.Expert-level proficiency in Python, and modern AI/ML frameworks, including PyTorch, TensorFlow, and specialised Generative AI libraries (LangChain, LangGraph or related open-source toolkits strongly preferred. Background in Traditional ML/AI is preferred.Deep understanding of LLMs, prompt engineering, RAG pipelines, vector databases ...

enabled environments·Experience with LLMs, prompt engineering, embeddings, semantic search and RAG patterns·Exposure to vector databases and agent frameworks such as LangChain, LangGraph or similar technologies·Understanding of MLOps, LLMOps and model lifecycle management principles·Experience designing APIs and integrating AI solutions into enterprise environments·Strong understanding of modern ...

architectures.GenAI Frameworks & Platforms: Proficient with Data & AI platforms (Azure AI, Vertex AI, Databricks, Hugging Face), advanced GenAI frameworks (LangChain, HF Transformers, LlamaIndex) & Agentic architectures (LangGraph, SmolAgents, PydanticAI) Prompt Engineering: Deep prompt engineering & optimization skills for GenAI.Vector DBs & RAG: Designed solutions using vector DBs & Retrieval Augmented GenAI (RAG) for knowledge applications.GenAI ...

focused on outcomes, value, and sustainable delivery. Strong proficiency in Python and JavaScript/TypeScript Hands-on experience building AI agent systems using LangChain, LangGraph, or equivalent orchestration frameworks. Demonstrated experience implementing RAG architectures in production, including embedding models, vector stores, and retrieval strategies. Proficiency with AI-powered development tools ...

client and close to the code, you will:Build and deploy AI agent systems using modern agent SDKs and orchestration frameworks (e.g., LangGraph, Claude Agent SDK, OpenAI Agents SDK), with guidance from senior engineers.Implement agentic workflows involving tool use, MCP-based integrations, memory and state management, and human … so.Good communication and teamwork - able to work effectively within multi-disciplinary engagement teams and with clients.Desirables:Hands-on exposure to agent orchestration frameworks (e.g., LangGraph, Claude Agent SDK, OpenAI Agents SDK) or LLM APIs.Experience with retrieval and grounding techniques such as RAG, vector or hybrid search.Full-stack development experience with ...