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We’re working with a highly respected growth investment firm that has built a genuinely modern, AI-first internal technology platform to support investment research, sourcing and portfolio operations across a number of rapidly scaling software businesses. This is not a traditional corporate engineering environment. The business operates with a strong builder mentality and is investing heavily into internal AI tooling, platform engineering and intelligent workflow systems. The engineering culture is highly collaborative, fast-moving and product-minded, with a strong focus on experimentation, ownership and practical delivery. They are now looking to hire a Senior Software Platform Engineer to sit between the Head of Data & Platform and a small team of junior analytical/software engineers. The Role This role sits at the intersection of: backend engineering; platform/infrastructure engineering; internal tooling; AI-enabled workflow systems; data platform development. You’ll help maintain and evolve a growing internal software/data platform whilst contributing toward a number of AI-focused initiatives currently underway across the business. One of the key longer-term projects involves building internal context and knowledge systems designed to support agentic AI workflows and intelligent internal tooling. The environment is highly iterative and roadmap priorities can evolve quickly, so this would suit someone comfortable operating with ambiguity and ownership rather than highly rigid structures. Tech Environment Backend: Python; Frontend: TypeScript; Cloud: GCP; Data/ETL platform exposure; APIs and internal tooling; Exploring graph database technologies; AI tooling / LLM integrations (Claude currently in use). The Culture This is a high-agency environment where engineers are encouraged to experiment, ship ideas quickly and contribute beyond narrow role boundaries. The business has a strong interest in AI-enabled software and modern engineering practices, with significant buy-in from leadership across the organisation. Package £120,000 - £140,000 base salary; Performance bonus (up to ~30%); Additional investment-related bonus structure; Hybrid working (3 days onsite minimum); Strong long-term growth opportunity within a highly ambitious business.
Job Responsibility
Help maintain and evolve a growing internal software/data platform
Contribute toward AI-focused initiatives
Build internal context and knowledge systems to support agentic AI workflows and intelligent internal tooling
Requirements
Strong backend engineering experience with Python
Good understanding of cloud/platform engineering (GCP preferred)
Comfortable working across software + infrastructure boundaries
Experience building internal tooling, platforms or data systems
Product-minded and pragmatic approach to engineering
Comfortable operating in fast-moving environments
Strong communication and collaboration skills
Able to support/mentor junior engineers informally
Nice to have
AI/LLM exposure
Agentic AI experimentation
RAG/context systems
Graph database exposure
ETL/data platform experience
Startup or scale-up engineering background
What we offer
Performance bonus (up to ~30%)
Additional investment-related bonus structure
Hybrid working (3 days onsite minimum)
Strong long-term growth opportunity within a highly ambitious business