of offline machine learning models and governed AI capabilities designed for highly regulated environments. You will also play a key role in advancing adoption of the Model Context Protocol (MCP), ensuring model traceability, integrity, and accountability across all deployment contexts. Responsibilities: Product Vision and Strategy Define and lead the execution of the product roadmap, ensuring that model development supports offline More ❯
frameworks, and cloud technologies Implement workflow automation using low-code/no-code platforms when applicable Create API integrations between marketing tools, CRM systems, and content management platforms using MCP or alternative protocols. Perform statistical analysis including A/B testing, causal inference, and experimental design to build the business case of POC's Work closely with data engineers, media More ❯
scalable, secure Azure AI architectures tailored to client needs. Work closely with customer business and technical stakeholders. Define and deliver solutions involving RAG systems, Agentic AI, knowledge bases, and MCP integrations. Lead pre-sales engagements including PoCs, workshops, and stakeholder briefings. Collaborate with engineers, analysts, and scientists to guide delivery. Ensure best practice in responsible AI, data management, and security. More ❯
scalable, secure Azure AI architectures tailored to client needs. Work closely with customer business and technical stakeholders. Define and deliver solutions involving RAG systems, Agentic AI, knowledge bases, and MCP integrations. Lead pre-sales engagements including PoCs, workshops, and stakeholder briefings. Collaborate with engineers, analysts, and scientists to guide delivery. Ensure best practice in responsible AI, data management, and security. More ❯
are more "nice-to-have": Experience in design or developer tooling Familiar with design systems and the accompanying terminology e.g. tokens Fluent in the latest AI lingo, be that MCP or RAG 5 reasons why you should apply You are passionate about making designers and developers lives easier! You have a passion for designers and developers, wanting to make their More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Robert Walters
Experience in building GenAI applications with RAG, prompt/context engineering, embeddings, chat completions, and calling LLM APIs. Agentic AI Expertise - Strong understanding of agentic AI architecture, including LLMs, MCP, agent hierarchies, orchestration, evaluations, memory and trace setup. Languages - Proficiency in Python, SQL, ReAct (reasoning and acting patterns), and Node.js New Team build, many roles, Hiring for Mid to Lead More ❯
day In order to be considered for this role you will need to have - Python, SQL, Unix, Cloud (AWS preferred) LLM applications: LangChain, Pydantic-AI (similar frameworks), RAG systems, MCP servers Front end: some experience with Typescript, REACT Application servers, web servers, database servers, docker Some context: frontend (TS/React) and a backend (Python/FastAPI) leveraging a Python More ❯
Experience in building GenAI applications with RAG, prompt/context engineering, embeddings, chat completions, and calling LLM APIs. Agentic AI Expertise - Strong understanding of agentic AI architecture, including LLMs, MCP, agent hierarchies, orchestration, evaluations, memory and trace setup. Languages - Proficiency in Python, SQL, ReAct (reasoning and acting patterns), and Node.js New Team build, many roles, Hiring for Mid to Lead More ❯
understanding of how they facilitate agentic AI development. Strong practical knowledge of prompt engineering techniques and advanced LLM concepts, such as CoT reasoning, prompt chaining, iterative refinement, RAG techniques, MCP, multi-agent architectures, and a clear understanding of when each should be applied. Proven experience with Cloud technologies on GCP or AWS (GCP preferred) including serverless architectures and microservices development. More ❯
