Senior Back-End Engineer (Python/AI)

Role: Senior Back-End Engineer Location: London Work Pattern: Hybrid (3 days onsite) Salary: £115k–£125k + Equity Wedo is partnering with a venture-backed AI company building next-generation agentic systems designed to automate complex workflows across global manufacturing, procurement and supply chains. Whilst much of the market is focused on copilots and productivity tools, this team is building AI capable of executing entire business processes autonomously. Their customers generate terabytes of complex data across ERP systems, supply chains, suppliers and manufacturing operations. The challenge is turning that fragmented information into intelligent systems capable of making better decisions at scale. The business is still early in its journey, but product-market fit is established, they have enterprise customers and now need to scale aggressively. They have just landed Series A, have plans to hire 65 and this role will specifically work with their Founding Engineer who’s ex Meta and their CTO who’s ex OpenAI. They're looking for a Senior Back-End Engineer who enjoys solving difficult technical problems, building robust systems and working closely with customers to bring ambitious ideas into production quickly. Current stack: • Python • Kubernetes • Docker • Terraform • AWS • GraphQL & REST APIs • Kafka • LLM-powered systems They're particularly interested in engineers who • Have strong commercial experience building production systems in Python • Have worked with large-scale data processing, integrations or distributed systems • Can take an ambiguous problem and turn it into a production-ready solution • Enjoy customer interaction and aren't afraid to jump on a call to solve problems • Want exposure to AI-native product development without necessarily needing prior AI experience • Prefer ownership and accountability over rigid process The environment is ambitious, high ownership and highly collaborative. You'll have direct exposure to customers, founders and technical decision making. Engineers here aren't handed tickets. They're expected to understand the problem, shape the solution and own the outcome. Expectations: The team works hybrid with typically 3 days each week spent in the London office. This isn't a clock-in, clock-out environment. It will suit someone who enjoys early-stage company building, moving quickly and having meaningful influence over product and technical direction. In return, you'll get the opportunity to work on genuinely challenging engineering problems whilst helping shape how AI is deployed within large enterprise environments. Probably best suited to either: • Someone looking to accelerate their growth by joining a high-calibre company at an inflection point • Or someone who's already operated in early-stage businesses and enjoys the pace, ambiguity and ownership that comes with building products from the ground up To apply, please send your CV to [email protected]