Senior Software Engineer

About us

We are a seed-stage AI start-up backed by leading European and US investors. Our founders have delivered cutting-edge AI at world-class research labs and high-growth technology companies. Now, operating in stealth, we apply next-generation agentic AI to overhaul mission-critical enterprise workflows that still depend on error-prone, manual processes. Our vision is to bring these high-value operations into the modern era, making them quicker, safer and far more resilient through thoughtful, responsible deployment of generative AI, with ethics and safety embedded from day one.

About the Role

You’ll own full-stack features end-to-end, with a focus on building for enterprise data requirements. You will collaborate closely with customer teams to architect and implement sophisticated data pipelines and APIs, directly fuelling our cutting-edge agentic AI with terabytes of real-world data. You will be instrumental in shaping solutions for enterprise clients, all while learning and growing your AI skills in a truly AI-first company at the forefront of agentic systems.

What You’ll Do

• Design & build scalable backend services and data pipelines - written in Python and deployed with Docker & Kubernetes.
• Integrate with enterprise ecosystems - enterprise software systems such as SAP and Oracle ERP, GraphQL/REST APIs, SFTP feeds, and event buses (Kafka, Pulsar).
• Wrangle large, heterogeneous data sets - model, transform, and index multi-modal, multi-terabyte enterprise datasets for advanced AI workloads.
• Develop enterprise-level next generation AI systems with the support of our AI specialists.
• Ship complete customer features - from architecture and code to CI/CD, infra-as-code (Terraform), rollout, and user training.
• Collaborate directly with executives & operators - run white-boarding sessions, turn ambiguous requirements into concrete specs, demo weekly, and iterate fast.
• Champion observability & reliability - instrument services with OpenTelemetry, define SLIs/SLOs, and automate incident response.
• Contribute across the stack - build lightweight front-ends when needed and pair with ML engineers on inference and evaluation pipelines.

You Might Be a Great Fit if You

• Have strong commercial software-engineering experience, with a fluency in Python and comfortable in TypeScript/JavaScript.
• Have built and operated data-intensive systems (batch & streaming) in a cloud environment (AWS, GCP, or Azure).
• Know your way around relational, columnar, and KV/graph databases - and when to use which.
• Have integrated with real-world enterprise stacks - authentication, SSO, legacy ERPs, message queues, ETL tools.
• Can take a loosely defined problem, sketch an architecture, and deliver a production-ready solution in weeks, not months.
• Communicate clearly with both engineers and business stakeholders; you enjoy hopping on a customer call to debug an API contract.
• Thrive in an early-stage, high-ownership environment - prototype today, deploy tomorrow, iterate next week.

Bonus Points

Experience deploying or consuming LLM-powered services (OpenAI, open-source models, RAG, vector stores) can be a bonus. However, we consider many great candidates without previous AI experience.

What we're offering:

• Base salary from £115,000 - £135,000... plus meaningful equity in a company pre Series A.
• We’re a hybrid team - 3 days a week in the office (we believe in the power of in-person collaboration and learning by osmosis).
• Private healthcare, pension scheme and an annual off-site to disconnect and recharge.
• Visa sponsorship available for exceptional talent already eligible to work in the UK (must be based in the UK already).
• An opportunity to define the engineering culture and leave your mark on technology that could reshape a vast, underserved market.

Interview Process:

Following an initial screening call with our talent partner, the interview process will run as follows:

• A 30-40 minute video chat with our founding CTO to explore mutual fit.
• A take-home or live architectural exercise focused on practical system design, not puzzle questions.
• A paid half-day on-site in our central London workspace to pair with the team, meet the founders and confirm the chemistry.