76 to 96 of 96 LangChain Jobs in the City of London

systems across web and mobile technologies. Hands-on exposure to stacks such as TypeScript, Python, Golang, Angular, Native Mobile, and modern databases. Understanding of AI and generative technology (e.g., LangChain, LLMs, ML-based product features) or curiosity to learn. Excellent people leadership and coaching skills – empathetic, balanced, and able to foster a collaborative, inclusive culture. Experience working across multiple client More ❯

systems across web and mobile technologies. Hands-on exposure to stacks such as TypeScript, Python, Golang, Angular, Native Mobile, and modern databases. Understanding of AI and generative technology (e.g., LangChain, LLMs, ML-based product features) or curiosity to learn. Excellent people leadership and coaching skills – empathetic, balanced, and able to foster a collaborative, inclusive culture. Experience working across multiple client More ❯

in fintech, investing, or ESG innovation Nice to Haves Comfortable working with tools like Postgres, Prisma, GraphQL, or Next.js Hands-on experience with AI or agent frameworks (such as LangChain or LangGraph) Experience building something from scratch — whether a side project, startup, or open-source app Tech Stack Frontend: React, TypeScript, Next.js Backend: Node.js, GraphQL Database & Cloud: Postgres, AWS Why More ❯

system. Expert in MCP and RAG patterns. Design and build robust data and ingestion pipelines, integrate vector databases, and RSG. Expert-level proficiency in Python and key ML libraries (Langchain, Semantic Kernel, PyTorch, TensorFlow). Hands-on experience with cloud platforms (Azure, AWS) and infrastructure-as-code (Terraform, ECS). Strong background in deploying models via APIs, containers, or cloud … up AI functions Qualifications Minimum 7 years’ professional experience in AI, ML, or applied machine learning engineering roles. Required Skills Expert-level proficiency in Python and key ML libraries (Langchain, Semantic Kernel, PyTorch, TensorFlow). Hands-on experience with cloud platforms (Azure, AWS) and infrastructure-as-code (Terraform, ECS). Strong background in deploying models via APIs, containers, or cloud More ❯

system. Expert in MCP and RAG patterns. Design and build robust data and ingestion pipelines, integrate vector databases, and RSG. Expert-level proficiency in Python and key ML libraries (Langchain, Semantic Kernel, PyTorch, TensorFlow). Hands-on experience with cloud platforms (Azure, AWS) and infrastructure-as-code (Terraform, ECS). Strong background in deploying models via APIs, containers, or cloud … up AI functions Qualifications Minimum 7 years’ professional experience in AI, ML, or applied machine learning engineering roles. Required Skills Expert-level proficiency in Python and key ML libraries (Langchain, Semantic Kernel, PyTorch, TensorFlow). Hands-on experience with cloud platforms (Azure, AWS) and infrastructure-as-code (Terraform, ECS). Strong background in deploying models via APIs, containers, or cloud More ❯

Lead AI Research Engineer Central London | £90,000–£120,000 + benefits | Hybrid (WeWork + Remote) This isn’t just another AI job. It’s the chance to build an AI Lab inside one of the UK’s most forward More ❯

Lead AI Research Engineer Central London | £90,000–£120,000 + benefits | Hybrid (WeWork + Remote) This isn’t just another AI job. It’s the chance to build an AI Lab inside one of the UK’s most forward More ❯

AI/LLM components into production systems. Role Breakdown: 50% Backend Engineering: FastAPI, Flask, Node.js, CI/CD 30% Data Engineering: ETL, DBT, Airflow 20% AI/LLM Integration: LangChain, RAG pipelines, orchestration Key Responsibilities: Design and build backend services to support AI agent deployment Develop scalable data pipelines and integration layers Implement AI/LLM-powered features with LangChain More ❯

AI/LLM components into production systems. Role Breakdown: 50% Backend Engineering: FastAPI, Flask, Node.js, CI/CD 30% Data Engineering: ETL, DBT, Airflow 20% AI/LLM Integration: LangChain, RAG pipelines, orchestration Key Responsibilities: Design and build backend services to support AI agent deployment Develop scalable data pipelines and integration layers Implement AI/LLM-powered features with LangChain More ❯

distributed systems that enable real-world, production-scale AI deployment . 🔧 What You’ll Do Architect and develop backend systems (Python, FastAPI, Flask, NodeJS) Design and implement RAG pipelines (LangChain, Qdrant, embeddings) Build ETL & CI/CD workflows (Airflow, dbt, MLFlow) Integrate AI/LLM components into backend services Ensure reliability, scalability, and maintainability across systems Collaborate with a small … elite team of engineers and AI researchers 💼 About You 4+ years of backend experience (Python, distributed systems, async APIs) Proven experience integrating AI or LLM systems (LangChain, vector DBs, etc.) Hands-on with some of Airflow, dbt, MLFlow, ETL, and CI/CD workflows Experience in early-stage startup environments — self-starter mindset Excited by ambiguity, ownership, and building from More ❯

distributed systems that enable real-world, production-scale AI deployment . 🔧 What You’ll Do Architect and develop backend systems (Python, FastAPI, Flask, NodeJS) Design and implement RAG pipelines (LangChain, Qdrant, embeddings) Build ETL & CI/CD workflows (Airflow, dbt, MLFlow) Integrate AI/LLM components into backend services Ensure reliability, scalability, and maintainability across systems Collaborate with a small … elite team of engineers and AI researchers 💼 About You 4+ years of backend experience (Python, distributed systems, async APIs) Proven experience integrating AI or LLM systems (LangChain, vector DBs, etc.) Hands-on with some of Airflow, dbt, MLFlow, ETL, and CI/CD workflows Experience in early-stage startup environments — self-starter mindset Excited by ambiguity, ownership, and building from More ❯

you What You’ll Do Design, implement, and ship production-grade LLM applications (prompting, RAG, evaluation, deployment). Develop and refine AI pipelines and retrieval systems using tools like LangChain, LangGraph, or custom frameworks. Own model evaluation frameworks to ensure quality, factuality, and performance across real-world workloads. Collaborate closely with the founding engineering team to build scalable infrastructure for … including 2–3+ years in AI/ML applications. Proven track record of shipping AI products into production (not just research or prototypes). Preferred tech stack - TypeScript, React, LangChain, and LLM orchestration. Experience with RAG systems , vector databases (e.g. Pinecone, PGVector, Weaviate), and model evaluation . Comfortable working in a fast-paced startup environment with a high degree of More ❯

you What You’ll Do Design, implement, and ship production-grade LLM applications (prompting, RAG, evaluation, deployment). Develop and refine AI pipelines and retrieval systems using tools like LangChain, LangGraph, or custom frameworks. Own model evaluation frameworks to ensure quality, factuality, and performance across real-world workloads. Collaborate closely with the founding engineering team to build scalable infrastructure for … including 2–3+ years in AI/ML applications. Proven track record of shipping AI products into production (not just research or prototypes). Preferred tech stack - TypeScript, React, LangChain, and LLM orchestration. Experience with RAG systems , vector databases (e.g. Pinecone, PGVector, Weaviate), and model evaluation . Comfortable working in a fast-paced startup environment with a high degree of More ❯

and the engineering foundations as the business scales. This is an AI-enabled product, so curiosity and initiative is crucial: you’ve explored personal or side projects involving LLMs , LangChain , or AI APIs . What You’ll Do Stay hands-on: ship high-quality code, build scalable systems, and design data-driven APIs. Lead technical direction and help shape the … or integrated AI/LLM-driven tools, experimented with AI frameworks, or used AI-assisted coding tools. Curiosity and initiative: you’ve explored personal or side projects involving LLMs , LangChain , or AI APIs . Strong delivery mindset — you move fast, write clean, maintainable code, and iterate quickly. Comfortable in early-stage environments where priorities evolve and autonomy is key. Some More ❯

and the engineering foundations as the business scales. This is an AI-enabled product, so curiosity and initiative is crucial: you’ve explored personal or side projects involving LLMs , LangChain , or AI APIs . What You’ll Do Stay hands-on: ship high-quality code, build scalable systems, and design data-driven APIs. Lead technical direction and help shape the … or integrated AI/LLM-driven tools, experimented with AI frameworks, or used AI-assisted coding tools. Curiosity and initiative: you’ve explored personal or side projects involving LLMs , LangChain , or AI APIs . Strong delivery mindset — you move fast, write clean, maintainable code, and iterate quickly. Comfortable in early-stage environments where priorities evolve and autonomy is key. Some More ❯

in small teams (links to repos, case studies, or live services). Desired Node.js alongside Python for services or integrations. 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). Tools & Stack Backend/… Redis (caching/sessions). 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). Frontend (when needed): React/Next.js (for dashboards/ More ❯

in small teams (links to repos, case studies, or live services). Desired Node.js alongside Python for services or integrations. 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). Tools & Stack Backend/… Redis (caching/sessions). 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). Frontend (when needed): React/Next.js (for dashboards/ More ❯

building on the existing codebase Build and maintain scalable REST APIs, integrating PostgreSQL for robust data management Lead the development of AI/LLM-powered features, leveraging tools like Langchain and other AI frameworks Write clean, testable, and well-documented code, deploying via Docker in a CI/CD pipeline Manage and collaborate on code via GitHub, driving code quality … Python, with a proven track record of backend development Deep experience with FastAPI, RESTful API design, and PostgreSQL Hands-on experience developing scalable systems and backend architectures Familiarity with Langchain, AI, or LLM tooling is a strong plus Proficiency with Docker, GitHub, and modern deployment workflows Experience working with Supabase, Firebase, or similar platforms for quick prototyping ideas. Background in More ❯

building on the existing codebase Build and maintain scalable REST APIs, integrating PostgreSQL for robust data management Lead the development of AI/LLM-powered features, leveraging tools like Langchain and other AI frameworks Write clean, testable, and well-documented code, deploying via Docker in a CI/CD pipeline Manage and collaborate on code via GitHub, driving code quality … Python, with a proven track record of backend development Deep experience with FastAPI, RESTful API design, and PostgreSQL Hands-on experience developing scalable systems and backend architectures Familiarity with Langchain, AI, or LLM tooling is a strong plus Proficiency with Docker, GitHub, and modern deployment workflows Experience working with Supabase, Firebase, or similar platforms for quick prototyping ideas. Background in More ❯

that automate real-world processes across quoting, customer support, logistics and sustainability analysis. 🚀 What you’ll do Design and connect AI agent flows using tools like GPT, Notion, Zapier, LangChain, Front, or custom APIs Build automations that power internal ops - from data handling to workflow orchestration and APIs into Grounded's own platform Prototype quickly: test → break → refine → scale Collaborate … a global sustainable packaging business uses AI 🌱 Who you are You think in systems — and love making things talk to each other You’ve been experimenting with OpenAI, Anthropic, LangChain, Relevance AI, Zapier, etc. You’re comfortable in Python or JS but prefer building tools to writing endless code You’re curious, fast, and biased toward action You care deeply More ❯

that automate real-world processes across quoting, customer support, logistics and sustainability analysis. 🚀 What you’ll do Design and connect AI agent flows using tools like GPT, Notion, Zapier, LangChain, Front, or custom APIs Build automations that power internal ops - from data handling to workflow orchestration and APIs into Grounded's own platform Prototype quickly: test → break → refine → scale Collaborate … a global sustainable packaging business uses AI 🌱 Who you are You think in systems — and love making things talk to each other You’ve been experimenting with OpenAI, Anthropic, LangChain, Relevance AI, Zapier, etc. You’re comfortable in Python or JS but prefer building tools to writing endless code You’re curious, fast, and biased toward action You care deeply More ❯