Product Engineer | London | Hybrid | £90,000 – £100,000 + share options
Albert Bow is partnering with a profitable, high-growth Ai software company building a next-generation Ai-native enterprise platform used by globally recognised organisations.
Having already established strong recurring revenue, the company is now investing heavily into its core product: a platform designed to combine large language models and workflow automation into a unified system for automating complex research and decision-making processes at scale.
This is not an early experimentation-stage startup. The product is already deployed in production across enterprise environments, and the business is scaling rapidly with ambitious growth plans over the next few years.
They are now looking to hire a Mid-level Product Engineer to help shape the technical direction of the platform as it enters its next phase of growth.
Role Overview
- This is a mid-level individual contributor role focused on product engineering, system design, and Ai-driven software development.
- You’ll work closely with a small, highly technical engineering team to define how the platform evolves across architecture, performance, and user-facing capabilities.
- The environment is highly autonomous and product-focused. Engineers are expected to operate close to real users, contribute directly to product direction, and take ownership of problems from discovery through to production, with appropriate support from senior engineers.
- This role is suited to someone who is already strong technically, enjoys combining engineering with product thinking, and wants high ownership with a clear path to senior-level impact.
What You’ll Be Doing
- Deliver product across the full stack - from UI to backend services to the Ai layer. You’ll move across areas and be responsible for everything you ship into production.
- Build and maintain LLM systems that sit at the heart of the product. That includes working with evals, prompt iteration, agent behaviour, retrieval systems, and improving system performance based on real-world usage.
- Work in an Ai-first engineering setup. LLM tools, coding agents, eval-driven iteration, and fast experimentation are part of the normal development cycle, not optional extras.
- Own meaningful features end-to-end. You’ll take scoped product problems and turn them into production-ready systems, with support from senior engineers where needed.
- Take unclear problems and turn them into executable plans. Break work down, define what matters, set boundaries, and make pragmatic trade-offs to keep things moving.
- Stay close to users and stakeholders. Participate in customer conversations, interpret feedback, and translate it into engineering decisions.
What They’re Looking For
- Strong full-stack engineering experience, with depth in backend systems
- Proven experience building and operating production systems
- Strong Python experience, alongside familiarity with modern frontend frameworks (e.g. React / TypeScript)
- Hands-on experience shipping Ai or LLM-powered systems (beyond prototypes)
- Comfort working with evaluation systems, agent-based workflows, retrieval-augmented architectures, or production Ai tooling
- Strong ability to make technical and architectural decisions in fast-moving, ambiguous environments
- Strong product intuition and ability to work without fully defined requirements
- Regular use of modern Ai-assisted development tools as part of day-to-day engineering practice
- Typically 2–4+ years of engineering experience, though impact matters more than tenure
Tech Stack
Python, FastAPI, React, TypeScript, Kubernetes, GCP, Redis, Postgres, LangGraph, Datadog, Neo4J
Package & Benefits
- £90,000 – £100,000 base salary + share options
- Meaningful equity package
- Hybrid working model (London)
- Private healthcare
- Pension
- 25 days holiday
- Modern office environment with strong engineering culture
- High ownership and autonomy from day one
