Forward Deployed Engineer – Agentic AI

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:

• Educated to at least degree level 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.