solutions. You'll work across the stack, contribute to infrastructure, and collaborate with multidisciplinary teams to deliver impactful digital experiences. Key Responsibilities Build GenAI applications using frameworks like LangChain, LangGraph, or CrewAI. Develop microservices using Python (FastAPI) or TypeScript (Express). Create front-end applications with React, TypeScript, and frameworks like Next.js or Vite. Integrate LLMs (e.g., OpenAI, Anthropic, Mistral More ❯
solutions. You'll work across the stack, contribute to infrastructure, and collaborate with multidisciplinary teams to deliver impactful digital experiences. Key Responsibilities Build GenAI applications using frameworks like LangChain, LangGraph, or CrewAI. Develop microservices using Python (FastAPI) or TypeScript (Express). Create front-end applications with React, TypeScript, and frameworks like Next.js or Vite. Integrate LLMs (e.g., OpenAI, Anthropic, Mistral More ❯
developing technology solutions with the ability to explain complex AI concepts to non-technical stakeholders. Bonus Skills/Experience: Agentic Systems: Experience designing and orchestrating autonomous agentic workflows (e.g., LangGraph) and managing agent state/memory. Cloud: Experience working with cloud infrastructure (Azure, AWS, or GCP). Agile Delivery: Experience working in an Agile development environment. Data Engineering: Proficiency in More ❯
with GCP Vertex AI (model endpoints, pipelines, embeddings, vector search) or equivalent cloud-native ML platforms (e.g. AWS SageMaker, Azure ML) and agent orchestration frameworks such as LangChain and LangGraph Solid understanding of MLOps - CI/CD, IaC (Terraform), experiment tracking, model registry, and monitoring. Proven experience deploying and operating ML systems in production (batch and real-time). Familiarity More ❯
engineers Cloud deployment experience with Docker/Kubernetes Deep understanding of transformer architectures, AI/ML principles, and MLOps Experience developing REST APIs and Agentic AI frameworks (LangGraph, Crew AI) Desirable Experience in Insurtech or Fintech domains Knowledge of insurance workflows or policy administration systems Team leadership and client-facing experience Why Join? Work on high-impact AI projects with More ❯
London, South East, England, United Kingdom Hybrid/Remote Options
Sanderson
engineers Cloud deployment experience with Docker/Kubernetes Deep understanding of transformer architectures, AI/ML principles, and MLOps Experience developing REST APIs and Agentic AI frameworks (LangGraph, Crew AI) Desirable Experience in Insurtech or Fintech domains Knowledge of insurance workflows or policy administration systems Team leadership and client-facing experience Why Join? Work on high-impact AI projects with More ❯
Employment Type: Full-Time
Salary: £95,000 - £100,000 per annum, Inc benefits
and a proven ability to architect and deliver scalable solutions in production environments. Essential Experience: Demonstrated expertise in developing and scaling GenAI applications using frameworks such as LlamaIndex or LangGraph, and workflows like RAG or Multi-Agent architectures. In-depth understanding of LLM models and providers, with the ability to guide optimal integration into applications. 5+ years' experience developing production More ❯
AI Engineers and technical contributors to raise the engineering bar. Champion best practices for governance, observability, and lifecycle management of AI systems. Evaluate and introduce emerging frameworks, including Autogen, LangGraph, and other agentic ecosystems. Partner with senior stakeholders to align AI strategy with business goals. Drive the evolution of our internal platform (Pathway) to enable faster, safer AI delivery. Represent More ❯
team. Ability to thrive in a matrix environment and build partnerships with colleagues at various levels and across multiple locations. Proven experience in agentic frameworks (using CruxAI, Google ADK, LangGraph). Preferred Qualifications, Capabilities, and Skills Advanced degree (Master's or Ph.D.) in Data Science, Computer Science, Mathematics, Engineering, or a related field is preferred. More ❯
and market data, improving search, discoverability, and insight accuracy. LLM & Machine Learning Application Engineering Design, build and maintain traditional ML and LLM models and pipelines. Build LLM apps using LangGraph/LangChain: tools/function calling, structured outputs (JSON Schema), agents, and multi step reasoning. Implement ASR/TTS and multimodal where relevant (e.g., Whisper). Choose customization paths pragmatically … reliability and maintainability. Programming & ML/LLM Frameworks Strong expertise in Python and relevant ML/LLM libraries/frameworks (e.g., PyTorch, TensorFlow, scikit learn). Hands on with LangGraph/LangChain, LlamaIndex or Semantic Kernel for orchestration (tools, agents, guards, structured I/O). Familiarity with Azure OpenAI and at least one open model stack (e.g., Llama/ More ❯
About Charlotte Tilbury Beauty Founded by British makeup artist and beauty entrepreneur Charlotte Tilbury MBE in 2013, Charlotte Tilbury Beauty has revolutionised the face of the global beauty industry by de-coding makeup applications for everyone, everywhere, with an easy More ❯
london, south east england, united kingdom Hybrid/Remote Options
Third Space Learning
years, so we're looking for someone who can get stuck in and help us move fast. Tech Stack: , AWS API Gateway/EKS/Step Functions, React, TypeScript, Langgraph, Langchain, gpt-oss, AWS. What You'll Do Build and scale backend services in JavaScript to improve the core functionality of our AI voice tutor. Work hands-on with large More ❯
with modern web interfaces that quickly adapt to emerging agentic technologies. What You'll Do E-Commerce Agent Development: Design and prototype scalable shopping agents using frameworks like PydanticAI, LangGraph, CrewAI, and OpenAI Agents SDK with advanced tool calling for inventory queries, price comparisons, order management, store control, and personalised product recommendations Multi-modal Shopping Experiences: Engineer responsive web applications … experience in conversational AI systems, agent architectures, or fast-paced ML deployment environments, ideally with e-commerce exposure and full stack development experience Agent Framework Expertise: Proficiency with PydanticAI, LangGraph, CrewAI, AutoGen, or OpenAI Agents SDK, including agent memory, tool integration for shopping APIs, distributed systems design, and e-commerce workflow orchestration Full Stack Development: Python/FastAPI backend development More ❯
and market data, improving search, discoverability, and insight accuracy. LLM & Machine Learning Application Engineering Design, build, and maintain traditional ML and LLM models and pipelines. Build LLM apps using LangGraph/LangChain: tools/function calling, structured outputs (JSON Schema), agents, and multi-step reasoning. Implement ASR/TTS and multimodal where relevant (e.g., Whisper). Choose customization paths pragmatically … in Python and relevant ML/LLM libraries/frameworks (e.g., PyTorch, TensorFlow, scikit-learn). Strong in Python, API design, asynchronous programming, and integration patterns. Hands-on with LangGraph/LangChain, LlamaIndex or Semantic Kernel for orchestration (tools, agents, guards, structured I/O). Familiarity with Azure OpenAI and at least one open model stack (e.g., Llama/ More ❯
Locations London Gurgaon Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. More ❯
Newcastle Upon Tyne, Tyne and Wear, England, United Kingdom Hybrid/Remote Options
Bentley Whitaker Search and Selection
Python/GenAI Engineer - LangChain, LangGraph, LLM, Langsmith, Langfuse My client (well known consultancy) brings together strategy, design, data science, and engineering to deliver transformative solutions. If you're passionate about GenAI, development, and shaping the digital future, this role is for you. This fantastic company offers excellent training to all their consultants, both online and classroom training. Candidates can … engineer with experience and a passion for GenAI. Must Have: Strong Engineering skills in Python - 2yrs commercial minimum Any front-End experience is advantageous Experience with GenAI tools (LangChain, LangGraph, etc.) and LLMs (OpenAI, Anthropic, Llama, etc.) Familiarity with monitoring (Langsmith, Langfuse), Git, and vector/NoSQL/SQL databases Eligible for SC Clearance - lived in the UK for 5yrs+ More ❯