21 of 21 Permanent LangChain Jobs in Peterborough

C/C++, and familiarity with object-oriented programming. Experience of working with or an understanding of LLM frameworks such as Haystack, LlamaIndex, and LangChain, with a focus on Retrieval-Augmented Generation (RAG) and text/chat generators. Cloud computing with AWS (ECS, EKS, DynamoDB, Bedrock) Knowledge of git version More ❯

or equivalent Frontend Development: Experience in building React applications using TypeScript, leveraging frameworks such as Next.js or Vite. GenAI Frameworks: Familiarity with tools like LangChain, LangGraph, CrewAI, or Vercel AI (in Python or JavaScript). LLM experience: Practical experience with Large Language Models (LLMs) such as OpenAI, Anthropic, Mistral, or More ❯

or equivalent Frontend Development: Experience in building React applications using TypeScript, leveraging frameworks such as Next.js or Vite. GenAI Frameworks: Familiarity with tools like LangChain, LangGraph, CrewAI, or Vercel AI (in Python or JavaScript). LLM experience: Practical experience with Large Language Models (LLMs) such as OpenAI, Anthropic, Mistral, or More ❯

engineering, AI/ML model integration, and cloud architecture Stay up to date with evolving Azure services and modern AI frameworks (e.g., Azure OpenAI, LangChain, Prompt Flow) Help document technical solutions and contribute to internal knowledge sharing INDIVIDUAL RESPONSIBILITIES: Take ownership of assigned technical tasks, ensuring timely and high-quality More ❯

with traditional ML models and feature engineering. Experience with LLMs. Strong programming skills (e.g., Python) and experience with modern ML frameworks (e.g., PyTorch, TensorFlow, LangChain). Collaborating with other Researchers, Product, Engineering and Business Stakeholders in an agile manner to demonstrate value and iterate with customer feedback. For immediate consideration More ❯

It’s the kind of role where your code ships and your input shapes the roadmap. 🚀 Expect work across: GenAI + LLM tooling (vLLM, LangChain, HuggingFace) RAG systems, embeddings, reranking NLP tasks like summarisation, classification, sentiment Scalable deployment in AWS (with support from DevOps) Cross-team collaboration and mentoring Why More ❯

backend tools in a remote, collaborative setup. What you'll need: Strong Python engineering background (AI/ML or backend) Experience building with LLMs (LangChain, LlamaIndex, or LangGraph) Familiar with vector databases for embedding/indexing with images, audio, text and video Familiar with different multi-agent system patterns Comfortable More ❯

or TypeScript (Express or similar). Experienced with React and TypeScript, using modern frameworks like Next.js or Vite. Familiarity with GenAI frameworks such as LangChain, LangGraph, CrewAI, or Vercel AI. Hands-on experience with large language models (LLMs) like OpenAI, Anthropic, Mistral, or LLaMA, and platforms like Ollama. If you More ❯

data model decisions Translate Figma files into performant, maintainable components Work with the team to prototype and integrate AI/LLM features (e.g., OpenAI, LangChain) into the product. Build on the foundations laid by our fractional CTO to evolve rapid iterative deployment, and testing practices Collaborate on internal tooling and More ❯

master’s programme (CS, Data, Business, or anything you can argue is relevant). Builder’s toolbox – experience with Python, API wrangling, LLM frameworks (LangChain, OpenAI functions, etc.), passion for vibe coding using leading LLMs (e.g. Windsurf, Cursor, Lovable, Bolt, ChatGPT, Claude, Gemini, etc.), plus a taste for no-code More ❯

and optimisation, particularly with MySQL. Hands-on experience integrating with AI models like ChatGPT or Gemini, including prompt crafting and API management. Familiarity with LangChain or similar orchestration tools for multi-step AI workflows. Ability to quickly learn new technologies and deliver production-ready features in a dynamic environment. Preferred More ❯

vlogs, and the occasional roundtable or industry event. Create compelling AI-driven stories and artefacts for prospects. Core Tech: OpenAI APIs, Semantic Kernel, AutoGen, LangChain, etc. Azure (especially Azure AI), .NET (C#) OR Python and C/C++ VS Code + Copilot, GPT-powered dev workflows, experimental IDE plugins If More ❯

Experience with Next.js, tRPC, TypeScript, Prisma. Strong database skills ideally with MySQL. Hands-on experience integrating AI models (e.g., ChatGPT, Gemini). Familiarity with LangChain or similar orchestration tools. Fast learner, adaptable in high-paced environments. Preferred Skills: Experience deploying and fine-tuning custom AI models. Background in B2B software More ❯

TypeScript, and Prisma Practical experience integrating with AI models such as ChatGPT or Gemini, including prompt engineering and API management Familiarity with tools like LangChain (or similar) to implement multi-step AI workflows A demonstrated ability to learn quickly and deliver functional features in a fast-paced environment Preferred Qualifications More ❯

with Next.js, tRPC, TypeScript, and Prisma. Strong database skills ideally with MySQL. Hands-on experience integrating AI models (e.g., ChatGPT, Gemini). Familiarity with LangChain or similar orchestration tools. Fast learner, adaptable in high-paced environments. Preferred Skills: Experience deploying and fine-tuning custom AI models. Background in B2B software More ❯

advanced image prompting (Midjourney/DALL-E), email tools, + just enough Python/JS and/or low-code tools (Zapier, Make, n8n, LangChain, OpenAI) to glue it all together. Copy chops — you can translate VC-speak into memes, threads, and succinct insights. Passionate about startups and investing. AI More ❯

development, AI experimentation, and product innovation. The successful candidate will play a key role in architecting agent-based systems, leveraging advanced frameworks such as LangChain and LlamaIndex, and deploying real-time AI capabilities that integrate deeply with SDLC processes. Key Responsibilities LLM Agent Development: Design and implement intelligent, multi-step … agents using frameworks like LangChain, LangGraph, and LlamaIndex to enhance developer workflows. Tooling & Assistant Innovation: Develop AI-powered assistants and developer tools with an emphasis on scalability, performance, and reliability. AI Engineering: Build, test, and optimize generative AI features using platforms such as OpenAI, Claude, and Gemini, including fine-tuned … initiatives to promote AI capabilities across teams and client projects. Ideal Candidate Profile Agentic Experience: Proven experience building agent workflows using frameworks such as LangChain, LangGraph, or equivalent. AI/ML Expertise: Solid understanding of large language models (LLMs), embeddings, vector search, and prompt engineering. Software Engineering Skills: Strong programming More ❯

and operations teams to understand business needs and translate them into technical solutions. Build intelligent automation pipelines using tools such as Python, OpenAI APIs, LangChain, and n8n. Apply Large Language Models (LLMs) to real-world challenges like email triage, document parsing, and data enrichment. Implement retrieval-augmented generation (RAG) to … Data Scientist or AI Automation role. Hands-on expertise with natural language processing (NLP) and Large Language Models (LLMs). Experience using Python, OpenAI, LangChain, and vector databases. Familiarity with automation platforms like n8n, Zapier, or similar. Solid understanding of retrieval-augmented generation (RAG) methods. Strong problem-solving skills and More ❯

frameworks such as React (with a strong focus on UX) Building and improving backend systems using Python and JavaScript Integrating and orchestrating LLMs using LangChain and LangGraph Connecting user interfaces with real-time messaging tools (WhatsApp, VoiP, SMS) Supporting cloud deployment and infrastructure with AWS Shipping fast, testing ideas, and … stack web apps Familiarity with cloud deployment , especially using AWS Familiarity with Terraform for infrastructure as code is a plus Prior exposure to LLMs , LangChain , or LangGraph is a strong plus Comfortable building frontend UIs that are clean, responsive, and fast Why Join Doora? Work on something that actually matters More ❯

Bytes is a top provider of premium IT solutions and services, working with SMEs, corporations, and public sector organizations to modernize and digitally transform their IT infrastructures. Founded in 1982, Bytes has experienced significant growth, now employing over 750 people More ❯

They don’t just talk about AI disruption they build it. They're building agent-based systems using LLMs, Azure AI, and frameworks like LangChain and AutoGen. They need an R&D Lead to be the hands-on maker driving this shift: prototyping, experimenting, and building the early architecture of … a shot to permanently shape the R&D function. To be considered, you’ll need: Real-world experience with LLMs and agentic frameworks (OpenAI, LangChain, AutoGen, Semantic Kernel). Strong software engineering background (.NET/C# and Azure). A builder’s mindset - experimental, action-biased, and commercially aware. There More ❯