We’re working with a fast-moving AI systems team building software that does the work, not just talks about it
Think autonomous digital systems operating inside real organisations, handling complex workflows end-to-end with minimal human involvement.
The work is already deployed in production across several large global organisations, particularly in environments where reliability, governance, and structured decision‑making are critical. Use cases span heavily regulated and data‑intensive domains.
The company is backed by a group of well‑known venture investors and experienced industry operators. The internal team is highly technical, with a strong concentration of research and engineering talent, including individuals with advanced academic backgrounds in machine learning and related fields.
This is a senior, hands‑on engineering role focused on designing and delivering complex AI‑driven systems in real enterprise environments.
You will operate at the intersection of architecture, applied AI, and large‑scale system design, working directly with enterprise stakeholders to understand how work is currently performed and how it can be restructured into automated systems.
A significant part of the role involves translating ambiguous, real‑world operational processes into structured technical solutions that can be reliably executed in production.
You will also play a key role in guiding engineering delivery, making architectural decisions, and ensuring systems are robust enough for live enterprise usage.
What the work involves
You will contribute to building systems such as:
- Autonomous software agents that execute multi‑step business and analytical workflows
- Multi‑component AI systems that coordinate across tools, data sources, and internal platforms
- Decision‑support infrastructure used for forecasting, planning, and operational analysis
- Systems combining large language models with retrieval, reasoning, and structured data layers
- Automation frameworks that replace or augment manual enterprise processes
Key responsibilities
- Work directly with enterprise stakeholders to understand complex operational workflows
- Translate loosely defined business problems into structured technical system designs
- Architect scalable AI systems composed of multiple interacting components
- Break down system designs into clear engineering execution plans
- Guide implementation and support engineering teams through technical challenges
- Own delivery from initial architecture through to production deployment
- Collaborate with internal product and research teams on platform development
Candidate profile
This role is suited to engineers who are comfortable working on complex systems where requirements are not fully defined and evolve through collaboration.
Relevant experience may include:
- Designing and shipping production‑grade distributed or backend systems
- Working with modern AI systems, including LLM‑based applications
- Building architectures involving multiple services, data pipelines, or orchestration layers
- Translating ambiguous requirements into structured, executable technical designs
- Leading technical delivery within cross‑functional engineering teams
Even if you don’t meet all the requirements for this role but your interest has been sparked, please submit your CV!
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