Senior/Lead AI Engineer

What you’ll be doing

You’ll operate at the intersection of engineering leadership and cutting-edge AI:

• Lead the design and delivery of AI agent platforms and multi-agent systems

• Architect scalable, fault-tolerant, distributed AI systems

• Build agent orchestration frameworks with complex workflows

• Define and implement AI guardrails and safety mechanisms

• Establish engineering standards and best practices for AI development

• Drive prompt engineering strategy and optimisation techniques

• Optimise performance with advanced caching and workload strategies

• Build robust logging, monitoring, and alerting for AI systems

• Evaluate and integrate emerging AI models into production

• Run experiments with new architectures and approaches

• Collaborate with product, design, and architecture teams

What you’ll bring

You’re a senior engineer with both depth and leadership experience:

• 6–10+ years in software engineering, including AI/ML/Full Stack focus

• Expert-level Python skills

• Strong experience with agentic AI frameworks (e.g. LangChain, CrewAI, AutoGPT or similar)

• Experience using AI coding tools (e.g. Copilot, Cursor, Claude Code)

• Deep understanding of prompt engineering and LLM behaviour

• Experience designing AI guardrails and responsible AI systems

• Knowledge of vector databases and similarity search optimisation

• Strong background in distributed systems and high-availability design

• Experience with Docker, Kubernetes, and cloud platforms

• Familiarity with infrastructure-as-code and modern architecture patterns

• Proven experience leading teams or large-scale technical initiatives

Nice to have

• Experience with Model Context Protocol (MCP)

• Exposure to AI ethics, bias detection, and governance frameworks

• Ability to communicate complex AI concepts to non-technical stakeholders