Senior Agentic AI Engineer

Level: Associate Director Location: Remote-first, with occasional travel for client delivery Compensation: Competitive salary + bonus + benefits

Why This Role? This is not “just another AI job.” We’re seeking engineers who can design and deploy agentic AI systems from the ground up — moving beyond demos into robust production systems. You’ll work directly with enterprise and public sector organisations, taking projects from PoC through to mission-critical deployments serving 100s–1000s of users.

What You’ll Do Design agentic systems – Own the agent loop (plan → act → reflect), orchestration (DAG/state machine), and memory management. Build robust tooling – Create schemas, retries, rate limits, and SDKs for safe extensibility. Engineer memory & knowledge services – Implement episodic/semantic memory, retrieval APIs, deduping, and summarisation agents. Productionise at scale – Deploy containerised systems (K8s, serverless, GPU pools), implement CI/CD, observability, and auto-scaling. Ensure robustness – Apply guardrails, cost/latency budgets, checkpointing, and critic/reviewer patterns. Evaluate rigorously – Build automated evaluation harnesses, use golden sets, retriever validation, and drift monitoring. Engage stakeholders – Run workshops, roadmap sessions, and maturity assessments, translating complex AI concepts into actionable strategies.

What We’re Looking For Required: Proven track record building and deploying LLM/agentic systems into production. Strong software engineering foundations: orchestration, memory, deployment, monitoring. Familiarity with agentic architectures (e.g. LangGraph, ReAct, CoT loops) and/or ability to build without frameworks. Confident in client-facing settings: workshops, presentations, advisory roles.

Preferred: Advanced degree in AI, Computer Science, or related field. Experience with PyTorch/TensorFlow, vector databases, RAG, and orchestration tools. Background in start-ups (hands-on generalist) or consultancies (client-facing). Exposure to regulated industries. Independent, entrepreneurial mindset; comfortable working with autonomy.

Why Join? Impact: Deliver production-ready agentic AI systems in real-world environments. Innovation: Work on orchestration and deployment challenges that go beyond “glue code.” Reach: Remote-first role with opportunities for international collaboration. Growth: Influence the direction of enterprise AI adoption and contribute to the wider AI ecosystem. Culture: Join a fast-moving team operating at the frontier of applied AI.

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