3 of 3 Remote/Hybrid Autonomous Agent Jobs in England

This is an opportunity to work at the cutting edge of AI engineering, developing intelligent applications that combine LLMs, RAG and autonomous agent workflows with robust Python engineering and Microsoft Azure technologies. You'll be working within a product squad, turning complex requirements into secure, scalable … production-ready AI solutions, not just prototypes or proofs of concept. Responsibilities: Agentic AI: Design and build multi-step agent workflows using LangGraph, including tool calling, state management, routing and human-in-the-loop controls. GenAI & LLMs: Develop LLM-powered applications using Python, prompt engineering, structured outputs and context ...

learnings back to Docusign product and engineering teamsDevelop robust data pipelines, containerized microservices, distributed system architectures, and system context management repositories to ensure autonomous AI tools operate accurately and reliablyMaintain strong knowledge of the latest developments in LLM capabilities, implementation patterns, and AI product development stacksSynthesize field learnings … implementing LLMs, production-grade GenAI applications, autonomous agents, and or orchestration frameworks for production level software, with a preference for experience designing agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handlingExperience working directly with customers during POCs, architecture ...

capabilities. Provide hands-on technical leadership across architecture, system design, code reviews and complex engineering challenges. Drive the adoption of AI, LLMs and autonomous workflows to accelerate vulnerability discovery, exploit reproduction, security analysis and automation. Champion research, experimentation and rapid prototyping, turning promising technical concepts into robust, production … experience that would be particularly valuable includes: Hands-on offensive security, penetration testing, exploit development or red teaming. Building AI-powered security products, autonomous agents or multi-stage LLM orchestration systems. Developing large-scale threat intelligence, vulnerability research or automated security assessment technologies. Contributions to open-source security ...