About Us:

ClearRoute is an engineering consultancy bridging Quality Engineering, Cloud Platforms and Developer Experience. We help enterprises reliably bring high-impact digital products to market faster, cheaper, and safer, working with technology leaders facing complex business challenges.

We take as much pride in our people, culture and work-life balance as we do in making better software. We’re not just making better software. We’re making the making of software better. Collaborative, entrepreneurial and dedicated to problem solving, we bring the step change our customer need to sustain innovation.  Our values challenge us to do the best we can for ClearRoute, our customers and most importantly our team. This is an opportunity for you to build the organisation from the ground up, use your voice to drive change and help transform organisations and problem domains.

Role:

Design and deploy advanced generative AI solutions and LLM integrations, build scalable, production-grade AI systems; implement orchestration, tool-use, and memory frameworks; and integrate foundation models into seamless developer workflows, while optimizing for quality, cost, and safety.

Responsibilities:

• Design and build multi-agent orchestration workflows for automated code transformation and modernisation, including migration planning, code changes, feedback loops, and automated MR creation

• Build and use MCP services; design agent tool use patterns locally and via MCP

• Engineer prompts with precision — system prompt composition, layering, knowledge injection, and progressive disclosure techniques to maximise agent output accuracy and consistency

• Implement agent guardrails to ensure safe, consistent, and secure LLM input/output behaviour

• Build automated evaluation systems including unit tests for agent outputs and LLM-as-a-judge frameworks to measure and improve accuracy

• Contribute to agentic architecture decisions and toolchain evaluation as the space evolves

• Integrate and leverage Claude Code within the development workflow and within agentic pipelines

Required Skills & Experience:

Must Have:

• Strong Python engineering — production applications, clean architecture, built to scale

• Hands-on experience in prompt engineering

• Experience building agentic and multi-turn chat applications

• Hands-on experience with LLM orchestration frameworks (e.g. Strands, LangChain or equivalent)

• Strong systems design — able to break complex problems into deliverable increments

• Ability to manage large context effectively when working with LLMs

Strong Advantage:

• DeepEval or equivalent evaluation tooling

• Git workflow automation (GitHub/GitLab APIs, automated MR/PR creation)

• RAG and vector databases

• Container-native development (Kubernetes, Docker)

• Devin AI

At ClearRoute, we believe diverse perspectives lead to better outcomes, and inclusion creates the conditions for everyone to thrive.  We are proud to have built a family friendly working environment and have many employees who have caring responsibilities alongside work.  We welcome applications from people who require flexibility and will be happy to discuss needs on an individual basis.

We are committed to fostering a culture where all team members feel respected, supported, and empowered to do their best work.  We celebrate individuality and our differences and understand that some differences may mean that you require changes made to the interview process. We are happy to cater to your needs to make the interview accessible, if this is something you require please let us know by emailing us at join@clearroute.io