An incredible opportunity for Senior Applied AI Engineer to join a global AI Innovation and R&D team focused on building production-ready Generative and Agentic AI systems.
This is a hands-on engineering role for someone who enjoys shipping real AI products and working at the intersection of software engineering, agentic workflows and applied GenAI.
The role
Design, build and own production-grade agentic AI systems end to end
Develop stateful, reliable agent workflows with planning, tool use, memory and human-in-the-loop controls
Implement advanced retrieval and grounding (hybrid search, reranking, context assembly)
Build secure tool integrations and expose internal and external services to agents
Treat evaluation as an engineering discipline with regression tests, metrics and release gates
Instrument LLMOps and AgentOps for cost, latency, quality and failure monitoring
Optimise systems for performance, cost and reliability across models and providers
Build and operate backend services (Python APIs, workflows, event-driven systems)
Collaborate closely with data science, backend and delivery teams to ship scalable AI solutions
Contribute to reusable components, documentation and applied innovation outputs
Experience
5+ years of experience in software engineering, applied ML or applied AI
Strong Python skills and solid software engineering fundamentals
Hands-on experience building and productionising LLM-powered applications
Practical experience with agentic frameworks (e.g. LangChain, LlamaIndex, LangGraph, CrewAI or similar)
Strong understanding of retrieval systems and vector databases
Familiarity with agent patterns such as planning, tool use, ReAct and multi-agent systems
Experience deploying production services on cloud platforms (AWS, Azure or GCP)
Comfortable with Docker, CI/CD and production operations
A strong delivery
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