🚀 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.
Agentic AI, Multi-Agent Systems, LLM Deployment, LangGraph, LangChain, RAG, AI Orchestration, AI Consultant, Software Engineering for AI, AI Productionisation, Autonomous AI Systems, AI Architect, AI Careers, AI Jobs Remote.
