Agentic Systems Engineer (Digital Services)

Cambridge Consultants is a company focused on building human-centred digital services and products with agency. The Agentic Systems Engineer role involves designing and implementing innovative systems that reason, plan, and act, utilizing cutting-edge AI tools and software engineering practices.

Responsibilities:

• You'll be working on systems that haven't existed before
• Think of an Agentic Coach that navigates the unpredictability of human biology, or the software architecture behind a fully automated Dark Lab
• These aren't chatbots waiting for questions
• They're proactive systems that maintain world models, interpret human intent, and intervene before the user knows to ask
• These systems create genuine impact for clients tackling problems no one else can solve
• Building them means designing and wiring agent harnesses: layered architectures that span from sensor-edge reasoning to high-level planning, backed by stateful multi-turn reasoning, persistent per-user memory, and robust evaluation pipelines
• You'll work in two directions at once
• Internally, you'll use the latest AI tools to sharpen how we build, prototype, and ship
• Externally, you'll deliver the breakthrough systems our clients deploy, designed to move from prototype to production at pace
• There's no single technology stack
• You'll work with agents, multi-agent systems, and the latest generative AI tools, but your work will always be grounded in solid software engineering
• Expect to build scalable distributed systems in core languages like Python and TypeScript, leveraging frameworks such as NextJS and Pydantic, agent orchestration tools (LangGraph, CrewAI), and protocols like MCP
• You'll deploy on cloud platforms (AWS, GCP, Azure) using Docker, Kubernetes, and infrastructure-as-code, backed by rigorous CI/CD and observability (OpenTelemetry, Prometheus)
• Due to the clients we work with, you must be eligible for UK security clearance
• The examples below describe the core domains our AI Engineers own within the Digital Services team
• We don't expect every candidate to have mastered all of these, but if you can demonstrate a strong combination of the following, we'd love to hear from you
• AI System Architecture: Designing and implementing the logic for autonomous systems, including maintaining world models, integrating multimodal sensing, and building real-time human-machine interaction loops
• Infrastructure & Production Engineering: Designing the underlying software for scalable, secure, and observable cloud deployments
• You will apply the engineering rigor required to take experimental AI from concept to robust live launch
• Rapid Client Prototyping: Driving a demo-first delivery model
• You will focus on fast experimentation to actively show tangible value and working software to clients, rather than describing it in slide decks
• Domain Translation & Integration: Partnering directly with deep-tech subject matter experts (like biologists and roboticists) to apply software solutions to complex physical constraints