The company is a well-funded, high-growth technology start-up with a global presence and an established product generating revenue in production.
- Work with technical and non-technical stakeholders to understand problems, gather requirements, and identify opportunities for AI
- Design, build, and scale backend services using Python, with opportunities to work in Go
- Develop and deploy production-grade AI applications, agent workflows, and LLM integrations
- Translate ambiguous business requirements into practical, scalable technical solutions
- Build and improve APIs, asynchronous processing systems, and data pipelines
- Work on agent orchestration, retrieval systems, and AI infrastructure
- Own solutions from initial discovery and prototyping through deployment, iteration, and production
- Measure the impact of solutions and continuously improve them based on feedback and real-world usage
- Independently design and deliver AI solutions that create measurable value
- 3+ Years of commercial software engineering experience
- Strong backend engineering experience with Python, ideally Django, or Go and willingness to work extensively in Python
- Hands-on experience building and deploying LLM-powered applications or agentic AI systems into production
- Strong engineering fundamentals across APIs, SQL, system design, and performance
- Experience owning technical solutions from initial problem discovery through production
- Comfortable working directly with non-technical stakeholders and translating their challenges into engineering solutions
- Experience in a start-up or fast-paced product engineering environment
- Product and commercial mindset, with interest in understanding the measurable impact of the work
- Excellent communication skills, strong ownership, and ability to work independently in ambiguous environments
- Comprehensive benefits and professional development support
- Visa sponsorship and relocation support available
- London-based engineering team, working predominantly in person
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