12 of 12 Contract LangGraph Jobs

multi-container applications Demonstrated experience with biological or scientific data (e.g. genomics, transcriptomics, proteomics), or pharmaceutical industry experience, especially design of data visualisations Knowledge of agent-based approaches (e.g. LangGraph, PydanticAI, AutoGen More ❯

or pharmaceutical industry experience Knowledge of AI/ML approaches and deployment of AI/ML powered applications - especially using language models or NLP and agent-based approaches (eg LangGraph, PydanticAI, AutoGen) Knowledge of AI/ML evaluation and benchmarking approaches, experience with iterative improvement of AI/ML models and products Some experience with Front End software development (eg More ❯

designs into functional applications. Desirable experience: Experience with Docker and multi-container architectures. Background in biological or scientific data (e.g. genomics, proteomics). Knowledge of agent-based frameworks like LangGraph, PydanticAI, or AutoGen. Carbon60, Lorien & SRG - The Impellam Group STEM Portfolio are acting as an Employment Business in relation to this vacancy. More ❯

containerized applications, particularly multi-container architecture.Experience with biological or scientific data (e.g., genomics, transcriptomics, proteomics) or pharmaceutical industry experience, especially in designing data visualisations.Knowledge of agent-based approaches (e.g., LangGraph, PydanticAI, AutoGen).If you're looking for a role where your skills will make a significant impact, apply now with your updated CV to become a part of our dynamic More ❯

particularly multi-container architecture. Experience with biological or scientific data (e.g., genomics, transcriptomics, proteomics) or pharmaceutical industry experience, especially in designing data visualisations. Knowledge of agent-based approaches (e.g., LangGraph, PydanticAI, AutoGen). If you're looking for a role where your skills will make a significant impact, apply now with your updated CV to become a part of our More ❯

/GitHub) Preferred qualifications: Knowledge of AI/ML approaches and deployment of AI/ML powered applications - especially using language models or NLP and agent-based approaches (e.g. LangGraph, PydanticAI, AutoGen) Prior experience conducting user research for AI applications Knowledge of AI/ML evaluation and benchmarking approaches, including safety and robustness evaluations Web-based front end development experience More ❯

modern software development tools and practices (eg, Git/GitHub). Experience deploying AI/ML-powered applications, especially those involving NLP, language models, or agent-based frameworks (eg, LangGraph, PydanticAI, AutoGen). Background in user research specific to AI applications. Knowledge of AI/ML evaluation techniques, including safety and robustness assessments. Experience in web-based Front End development. More ❯

modern software development tools and practices (e.g., Git/GitHub). Experience deploying AI/ML-powered applications, especially those involving NLP, language models, or agent-based frameworks (e.g., LangGraph, PydanticAI, AutoGen). Background in user research specific to AI applications. Knowledge of AI/ML evaluation techniques, including safety and robustness assessments. Experience in web-based frontend development. If More ❯

You will work closely with HR stakeholders, data scientists, and legal compliance teams to build secure and scalable multi-agent AI solutions using modern frameworks such as LangChain, AutoGen, LangGraph, and RAG. Key Responsibilities: Architect and implement AI-powered tools to automate and enhance HR workflows (e.g., onboarding, employee queries, policy navigation). Design and deploy conversational agents using LangChain … and AutoGen for internal use. Build modular and scalable pipelines using LangGraph for multi-agent orchestration. Integrate RAG systems to enable context-aware document retrieval from internal HR/legal databases. Required Skills & Experience: Solid exposure in AI/ML engineering, with a strong focus on NLP and LLMs. Proven hands-on knowledge with: LangChain, AutoGen, LangGraph and RAG Strong More ❯

operations. Required Qualifications 15+ years of experience in AI/ML architecture with 8+ years in enterprise AI solutions Deep expertise in LLM architectures, prompt engineering, and agentic frameworks (LangGraph, LangMem) Hands-on experience with Azure OpenAI GPT-4/5, embedding models, and Azure cloud services Strong background in Python, distributed systems, and enterprise architecture Experience with Claude Code … workloads (1M+ documents, sub-second response times) Key Responsibilities Design end-to-end AI solutions for private equity fund operations and financial automation Architect scalable agentic AI frameworks using LangGraph, LangMem, and custom agent orchestration Lead technical strategy for Azure OpenAI GPT-5 integration and advanced embedding-based retrieval systems Design and implement advanced RAG architectures including hybrid search, query … failover and load balancing Establish comprehensive monitoring, observability, and performance optimization strategies Mentor technical teams and establish AI engineering best practices using modern toolchains Oversee model performance evaluation using LangGraph evals and DeepEval frameworks More ❯

London, UK Hybrid: 3 days a week from office JD: AI Lead to drive the development and deployment of next-generation agentic AI solutions using Azure OpenAI GPT-5, LangGraph frameworks, and intelligent document processing. Lead technical workstreams in building production-ready AI systems for financial automation with hands-on development approach. Required Qualifications 10+ years of experience in AI …/ML engineering with 4+ years in agentic AI and LLM systems Strong proficiency in LangGraph, LangMem, and agentic workflow development Hands-on experience with Azure OpenAI GPT-5, text-embedding-3-large, and Azure AI services Expert-level Python programming and experience with Claude Code for AI development Experience with LlamaIndex (LlamaParse, LlamaExtract) and document intelligence platforms Solid understanding … of AI evaluation frameworks (LangGraph evals, Agent evals, DeepEval) Key Responsibilities Design and develop agentic AI applications using LangGraph and LangMem frameworks Build intelligent document processing pipelines using LlamaParse and Azure Document Intelligence Implement advanced RAG systems with text-embedding-3-large and Azure DB for Postgres Lead hands-on development using Claude Code for rapid agentic workflow creation Establish More ❯

Chroma, FAISS, Milvus) with sensitive document ingestion pipelines - Host and optimise LLMs using vLLM/TGI on local GPU clusters without internet connectivity - Implement agent orchestration using LangChain/LangGraph in completely offline environments - Design secure document processing for classified materials with appropriate data sanitisation - Build monitoring and evaluation systems that operate within air-gapped infrastructure Essential Requirements - Active SC … Python expertise with offline dependency management and local package mirrors Technical Stack (All On-Premises) Models: Llama 3, Mistral, Qwen (locally hosted) Vector Stores: Chroma, FAISS, Milvus Orchestration: LangChain, LangGraph for agents Hosting: vLLM, TGI, Ollama on bare metal/private cloud Infrastructure: Air-gapped Kubernetes, local container registries Desirable Skills - Experience with defence/government IT security protocols - Knowledge More ❯