51 to 61 of 61 LangChain Jobs in London

Engineer: Proven experience shipping AI systems into production environments. Strong proficiency in Python and/or TypeScript/JavaScript. Deep experience with LangChain, RAG systems at scale, and LLM fine-tuning. Hands-on experience building agent or multi-agent architectures. Experience with workflow automation tools such as n8n. Strong understanding ...

Experience building AI agents or automation workflows Experience with web scraping, data enrichment, or APIs Built side projects using LLMs Familiar with tools like LangChain, vector databases, or workflow automation Interest in startups or building your own company one day What You'll Gain Work directly with the founder ...

Forward Deployed Engineer – Generative AI/LLM Deployment GenAI | LangChain | RAG | AWS | Kubernetes | Customer-Facing We are hiring a Forward Deployed Engineer to lead the deployment of production-grade Generative AI and LLM solutions into enterprise environments. This is a hands-on, customer-facing role focused on building and deploying … pipelines, multi-agent systems and fine-tuned LLM applications using tools such as LangChain and LangGraph. You will embed with client teams, own technical delivery from prototype to production, and demonstrate measurable KPI impact. Key Responsibilities Design and deploy GenAI/LLM applications (RAG, agentic AI, fine-tuning) Lead production ...

Forward Deployed Engineer Generative AI/LLM Deployment GenAI | LangChain | RAG | AWS | Kubernetes | Customer-Facing We are hiring a Forward Deployed Engineer to lead the deployment of production-grade Generative AI and LLM solutions into enterprise environments. This is a hands-on, customer-facing role focused on building and deploying … pipelines, multi-agent systems and fine-tuned LLM applications using tools such as LangChain and LangGraph. You will embed with client teams, own technical delivery from prototype to production, and demonstrate measurable KPI impact. Key Responsibilities Design and deploy GenAI/LLM applications (RAG, agentic AI, fine-tuning) Lead production ...

architectures, safety considerations Cloud-native development on AWS and practical MLOps: CI/CD for models, version control, observability, retraining pipelines Familiarity with LangChain, Terraform, and modern AI tooling (Cursor, Gemini) is a strong plus Experience with both structured and unstructured data, including preprocessing and feature engineering Stack: Python PyTorch … LangChain AWS SQL Terraform CI/CD MLOps Base salary: Up to £120,000 Bonus: 10% Equity: worth £20,000 Flexibility: Hybrid (3 days London office) + 10 days work-from-anywhere per year Interview process 3 stages. Straightforward, respectful of your time. ...

with occasional onsite visits required. Key Responsibilities AI software development and prototyping Proof of Concept (PoC) development Working with LLM stacks (e.g. Ollama + LangChain) Machine learning development using Scikit-learn Transitioning solutions from synthetic data environments to production data Working within Agile Scrum delivery teams Key Skills & Experience Strong ...

similar to build real apps. Not dabbling. Actually building and shipping with these tools. Proficient with agent platforms: Experienced using OpenClaw, Claude Code, LangChain, or similar to build agents. You've created working agents, not just followed a tutorial. Proficient in modern stack tools: Familiarity with tools across ...

Forward Deployed Engineer Generative AI/LLM Deployment GenAI | LangChain | RAG | AWS | Kubernetes | Client-Facing Were looking for a Forward Deployed Engineer to drive the implementation and rollout of enterprise-grade Generative AI and LLM solutions within production environments. This is a hands-on, customer-facing position focused on architecting … deploying RAG pipelines, agent-based systems, and fine-tuned LLM applications using frameworks such as LangChain and LangGraph. You will work closely with client teams, take full ownership of technical delivery from proof of concept through to production, and deliver measurable KPI-driven outcomes. Key Responsibilities Architect and implement GenAI ...

adoption. Trusted advisor to senior stakeholders, with proven execution across complex migrations, AI enablement, and digital modernisation. Architect and deliver agentic AI systems (LangGraph, LangChain, tool-calling, memory), RAG pipelines, and enterprise ML workloads. Skilled in Azure and AWS AI stacks, Fast API microservices, Kubernetes, and secure vector search patterns. … Designed and deployed agentic/LLM systems on Azure AI Studio/Foundry + Azure OpenAI, with orchestration using Semantic Kernel and (where appropriate) LangChain/AutoGen/CrewAI; implemented Prompt Flow evaluation and human-in-the-loop controls. Azure Business Architect - Strategic Partnership Orchestrated Azure migration/consumption ...

Doing Designing and delivering structured training (2–3 days/week) on: Agentic AI patterns and frameworks Multi-agent orchestration Retrieval-augmented workflows LangChain, LlamaIndex, or similar agent toolkits Evaluation, monitoring, and safety Best practices for productionising agentic systems Advising engineering teams during hands-on sessions Helping define capability uplift … guidance around responsible & safe AI use Required Experience 5+ years in Software/AI Engineering Strong hands-on experience with: Python LLM orchestration frameworks (LangChain, OpenAI Agents, CrewAI, Haystack, etc.) Agentic AI design and deployment RAG, vector stores, prompt engineering Prior experience delivering technical training or mentoring Ability to translate ...

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 ...