51 to 57 of 57 LangChain Jobs in England

experience operating as a senior data leader in a commercially driven environment, with a clear track record of delivery. Key requirements include: Experience using Langchain, RAG systems and Vector databases Proven ability to lead analytics and insight functions, with a bias towards hands on delivery rather than large scale people ...

e.g. Anthropic, AWS Bedrock models) Build and deploy RAG systems using vector databases and semantic search Develop agentic AI workflows using frameworks such as LangChain, LangGraph, CrewAI or similar Create effective prompt engineering strategies with appropriate guardrails for production systems Implement monitoring, evaluation and continuous improvement frameworks for GenAI applications …/ML libraries Practical experience using at least one LLM API Solid understanding of prompt engineering, RAG architectures and vector databases Experience with LangChain, LangGraph, LlamaIndex or similar frameworks Familiarity with Git and CI/CD workflows Bachelors degree in Computer Science, Engineering or a related discipline (2.1 or above ...

e.g. Anthropic, AWS Bedrock models) Build and deploy RAG systems using vector databases and semantic search Develop agentic AI workflows using frameworks such as LangChain, LangGraph, CrewAI or similar Create effective prompt engineering strategies with appropriate guardrails for production systems Implement monitoring, evaluation and continuous improvement frameworks for GenAI applications …/ML libraries Practical experience using at least one LLM API Solid understanding of prompt engineering, RAG architectures and vector databases Experience with LangChain, LangGraph, LlamaIndex or similar frameworks Familiarity with Git and CI/CD workflows Bachelor’s degree in Computer Science, Engineering or a related discipline (2.1 ...

Python, FastAPI, and Django Build and maintain scalable RESTful APIs with PostgreSQL Develop and integrate AI/LLM-powered features using frameworks such as LangChain Implement and manage payment systems, including Stripe integrations and subscription flows Build image processing and computer vision pipelines Write clean, maintainable, and well-documented code … Supabase or Firebase Ability to thrive in fast-paced, high-ownership environments Nice to Have Experience with LLM APIs (e.g., OpenAI, Anthropic, Gemini) and LangChain Background in AI/ML (e.g., generative models, GANs, diffusion, regression) Experience building data pipelines and data-driven systems Familiarity with workflow orchestration tools (e.g. ...

Responsibilities Design and deliver AI/GenAI solutions aligned to customer use cases Build and showcase POCs, demos and technical presentations Work with LLMs, LangChain, OpenAI APIs and AI agents Support solution architecture, APIs, integrations and cloud deployments Collaborate across GTM, sales and engineering to refine offerings Requirements Experience … Solution Engineering, Pre-Sales, Sales Engineering or Technical Consulting Strong knowledge of LLMs, Generative AI, Machine Learning Hands-on with LangChain, OpenAI, GPT or similar tools Programming experience in Python Experience with APIs, integrations and REST services Cloud exposure: AWS, Azure or GCP Proven experience delivering POCs, demos or customer ...

Desired Node.js alongside Python for services or integrations. App Store/Google Play release experience. Experience with vector databases (e.g., Chroma) and embedding pipelines. LangChain or CrewAI for orchestration; MCP servers for integrations. Security hygiene (secrets, permissions, least-privilege) and practical data-privacy basics. Planning & execution in Linear (or similar … Vectors/Embeddings: Chroma (or similar). AI Models & APIs: Claude (Anthropic), Gemini (Google); Amazon Nova Canvas (vision), Deepgram (audio). AI Dev Tools: LangChain or CrewAI (orchestration), MCP servers (integration), GitHub Copilot/Claude Code. Infrastructure: AWS (serverless functions), Docker (primarily for custom MCPs). Competencies & Behaviours Communicates clearly ...

automation and AI technology stack, including: o RPA platforms (e.g., UiPath, Power Automate) o AWS-based cloud-native architectureso Agentic AI frameworks (Agent Core, LangChain, LangGraph) o Large Language Models (multi-model strategy) o Orchestration frameworks and event-driven architectures o Document AI and extraction (e.g., Berdock)o EVAL frameworks … even if not coding daily. Demonstrated expertise in: RPA platforms such as UiPath and Power Automate Cloud-native architectures (preferably AWS) Agentic AI frameworks (LangChain, LangGraph, agent orchestration) Multi-LLM strategies and model selection EVAL frameworks for LLM/agent performance Observability, logging, guardrails and governance for AI agents Workflow ...