At a Glance
- Tasks: Design and evolve AI systems, build multi-agent orchestration, and manage cloud infrastructure.
- Company: Join a forward-thinking tech company leading the AI revolution.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic team environment with mentorship and career advancement opportunities.
- Why this job: Shape the future of AI while working on innovative projects that make a difference.
- Qualifications: Experience in AI systems, cloud infrastructure, and a passion for technology.
The predicted salary is between 60000 - 80000 £ per year.
We are seeking an AI Engineer to help shape the technical direction of the AI platform. You will design and evolve the agentic systems that power this solution - multi-agent orchestration, LLM pipelines, evals, and the cloud infrastructure that runs them. You should be hands-on, opinionated about how AI systems should be built, and excited to set the bar for an engineering team that ships AI features fast and safely. We value engineers who actively use AI agents and automation tools in their own workflows and stay current with the field as it moves.
Key Responsibilities
- Agentic AI Systems
- Design, build, and evolve multi-agent systems and LLM-powered pipelines.
- Design agent topologies - planner/executor, supervisor/worker, reflection loops, human-in-the-loop.
- Build and extend agents using frameworks like LangGraph, Strands, and Agent SDKs.
- Evolve the agent harness - execution loop, tool dispatch, context management, sub-agent spawning, and sandboxing.
- Design agent memory, context management, and tool-calling patterns.
- Extend the MCP server with new tools and capabilities.
- Enforce structured outputs and validation across LLM boundaries.
- LLM Quality, Evals & Observability
- Build the layer that lets the team ship LLM features with confidence.
- Design and grow the eval platform - golden datasets, regression suites, LLM-as-judge.
- Integrate observability and tracing across providers and prompt versions.
- Track cost, latency, and quality per prompt, model, and client.
- Build guardrails for prompt injection, PII, and output safety.
- Drive prompt engineering practice - versioning, A/B testing, platform overlays.
- Cloud & Data Infrastructure
- Own the cloud substrate that runs the AI workloads.
- Architect and maintain AWS infrastructure (ECS Fargate, Lambda, Step Functions, EventBridge, S3, Athena, DynamoDB, Bedrock).
- Build and operate data pipelines that move LLM outputs from generation to analytics.
- Manage containerized deployments, CI/CD, and infrastructure as code.
- Ensure reliability, observability, and cost efficiency across the platform.
- Security, Compliance & AI Safety
- Implement IAM, encryption, and network security best practices.
- Manage secrets and audit logging.
- Enforce multi-tenant isolation across agents, prompts, and data.
- Defend against prompt injection, jailbreaks, and PII leakage.
- Technical Leadership
- Set technical direction for the AI platform and drive architecture decisions.
- Make build-vs-buy calls on frameworks, providers, and tooling.
- Mentor engineers and raise the bar on prompts, evals, and agent design.
- Collaborate with product to translate business goals into AI system architecture.
AI Engineer in Warrington employer: Hyre AI Limited
Hyre AI Limited is an exceptional employer located in Warrington, offering a dynamic work culture that fosters innovation and collaboration. Employees benefit from comprehensive growth opportunities, including hands-on experience with cutting-edge technologies in AI and cloud infrastructure. The company prioritises a supportive environment where technical leadership is encouraged, making it an ideal place for those seeking meaningful and rewarding careers in the rapidly evolving field of AI.
