10 of 10 LangChain Jobs in the Midlands

Tuning: Use methods like LoRA, QLoRA, SFT, PEFT, and RLHF Inference & Acceleration: Serve models using vLLM, DeepSpeed, Triton, TensorRT Multi-Agent Orchestration: Work with LangChain, AutoGen, CrewAI, DSPy and similar tools Cloud & MLOps (AWS): Deploy with SageMaker, Bedrock, Lambda, S3, ECS, EKS Full-Stack Integration: Build APIs (FastAPI, Flask) and More ❯

Tuning: Use methods like LoRA, QLoRA, SFT, PEFT, and RLHF Inference & Acceleration: Serve models using vLLM, DeepSpeed, Triton, TensorRT Multi-Agent Orchestration: Work with LangChain, AutoGen, CrewAI, DSPy and similar tools Cloud & MLOps (AWS): Deploy with SageMaker, Bedrock, Lambda, S3, ECS, EKS Full-Stack Integration: Build APIs (FastAPI, Flask) and More ❯

serving and inference using vLLM, DeepSpeed, TensorRT, Triton, and other acceleration frameworks. Multi-Agent Systems : Develop and integrate agentic capabilities using frameworks such as LangChain, CrewAI, AutoGen, and DSPy. AWS Cloud & MLOps: Deploy scalable machine learning workloads on AWS using services like SageMaker, Bedrock, Lambda, S3, DynamoDB, ECS, and EKS. More ❯

serving and inference using vLLM, DeepSpeed, TensorRT, Triton, and other acceleration frameworks. Multi-Agent Systems : Develop and integrate agentic capabilities using frameworks such as LangChain, CrewAI, AutoGen, and DSPy. AWS Cloud & MLOps: Deploy scalable machine learning workloads on AWS using services like SageMaker, Bedrock, Lambda, S3, DynamoDB, ECS, and EKS. More ❯

focus Proficiency in Python and/or TypeScript , and experience with production-grade systems Familiarity with LLMs, AI agents, or orchestration frameworks (OpenAI, Anthropic, LangChain, etc.) Strong grasp of data modelling , cloud infrastructure (preferably AWS), and modern APIs Experience with relational and NoSQL databases (e.g. PostgreSQL, MongoDB) Problem-solver who More ❯

focus Proficiency in Python and/or TypeScript , and experience with production-grade systems Familiarity with LLMs, AI agents, or orchestration frameworks (OpenAI, Anthropic, LangChain, etc.) Strong grasp of data modelling , cloud infrastructure (preferably AWS), and modern APIs Experience with relational and NoSQL databases (e.g. PostgreSQL, MongoDB) Problem-solver who More ❯

Solid experience leading full-stack application development teams Expert-level proficiency in Python and hands-on experience with at least one LLM based framework (LangChain, LangGraph, LangSmith, LlamaIndex, Qdrant, etc ) Strong experience with asynchronous queues (e.g., Kafka, RabbitMQ) and asynchronous APIs Deep understanding of cloud infrastructure (AWS, GCP) and experience More ❯

team, building LLM-powered agents, AI automation frameworks, and custom tooling for developers: Key Information: You'll be developing LLM agents using frameworks like LangChain, LangGraph, LlamaIndex or similar, as well as building AI-powered tools, and building/optimising AI features Experience in Python, TypeScript, AWS/Azure/ More ❯

and MySQL; - Extensive applied experience with AI-assisted development tooling-whether it's Cursor, Windsurf, LLM APIs, codegen platforms, vector databases, agentic frameworks like LangChain, or custom-built systems; - A strong product mindset and interest in building for real-world impact; - A bias toward experimentation, iteration, and continuous learning; - Comfort More ❯

duration in London Skillset requirement: On-prem experience of 5+ years DevOps expertise of 5+ years GenAI pilots (CICD pipelines, install LLM) LLM applications, Langchain, Conda Kubernetes CICD Pipeline build experience Prometheus To find out more apply with job post or contact o.king@tenthrevolution.com ... More ❯