Senior Applied AI Engineer

Job Description

Your new role

As a Senior Applied AI Engineer, you’ll lead the design and delivery of enterprise-scale agentic AI platforms.

Key responsibilities:

• Build production-grade AI agents using RAG, semantic search, vector databases and AWS Bedrock.
• Drive AI systems through to production, covering deployment, observability, evaluation and optimisation.
• Define engineering standards across AWS and Infrastructure-as-Code.
• Implement AI guardrails including validation, hallucination detection and output filtering.
• Design and build MCP servers and integrations connecting AI agents with enterprise systems and tools.
• Evaluate and implement emerging agentic AI patterns, including multi-agent architectures and agent-to-agent communication.
• Mentor engineers and provide technical leadership across the AI development lifecycle.

What you’ll need to succeed

• c. 7+ years’ experience in Software Engineering, AI Engineering or a related discipline.
• Proven experience building and operating production-scale LLM and agentic AI solutions.
• Deep understanding of agentic architectures, tool use, reasoning, orchestration, memory and multi-agent systems.
• Strong experience with AWS, AWS Bedrock, LangChain, Strands or similar AI frameworks.
• Experience building RAG solutions, semantic search capabilities and applications powered by vector databases.
• Expertise in prompt engineering, context management and model evaluation.
• Strong communication skills and experience leading or mentoring engineering teams.
• Financial services experience highly regarded.

Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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