Artificial Intelligence Engineer

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This range is provided by Omnis Partners. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

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📍 Liverpool, 3 days in office and travel for client delivery

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.

• 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.
• Product ionise 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.

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. Lang Graph, 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/Tensor Flow, 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.

• 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, Lang Graph, Lang Chain, RAG, AI Orchestration, AI Consultant, Software Engineering for AI, AI Productionisation, Autonomous AI Systems, AI Architect, AI Careers, AI Jobs Remote.

Mid‑Senior level

Full‑time

Analyst, Science, and Consulting

IT Services and IT Consulting, Data Infrastructure and Analytics, and Business Consulting and Services