We’re working with an early-stage AI product company in London building software that automates real-world operational workflows using Python and applied AI.
This is a hands-on engineering role focused on designing and building backend systems, APIs, and data-driven workflows that power AI features used in production. You’ll work closely with product and design to take ideas from concept to live features, integrating LLM capabilities into practical use cases.
The role is around 80 percent coding and 20 percent leadership. Alongside building systems, you’ll mentor engineers, contribute to code reviews, and help shape technical decisions as the team grows.
You’ll be responsible for:
Designing and building scalable backend services using Python
Developing APIs that support core product functionality
Integrating LLM and AI-driven features into workflows
Improving system performance, reliability, and maintainability
Collaborating cross-functionally to deliver features end to end
Key requirements:
4 to 8 years software engineering experience
Strong Python backend skills, APIs, and frameworks such as FastAPI, Flask, or Django
Experience building production systems in a startup or fast-paced environment
Familiarity with cloud platforms such as AWS, GCP, or Azure
Exposure to AI, LLMs, or RAG is beneficial
You’ll join a small, product-focused team with high ownership and the opportunity to influence both engineering direction and product development.
