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Job Description

Staff Software Engineer

Location: Hybrid (1 day per week in London office)

Compensation: £130,000 – £160,000 + meaningful equity

An early-stage AI company is building a next- platform that helps professionals extract insights and automate workflows across large document sets. Their product combines structured data, natural- processing, and workflow automation to help users make faster, higher-quality decisions.

They’re backed by leading European and US investors, with a proven founding team bringing deep technical and commercial experience. The team is small but growing, with a culture that blends high standards, intellectual honesty, and rapid delivery.

The Challenge

Imagine deploying a new data-extraction pipeline on Monday that saves a major enterprise client dozens of hours a week — and by Friday, you’re already helping them integrate your APIs into their internal systems. This is a hands-on, high-impact environment where engineers see the direct effect of their work within days, not months.

What You’ll Do

Own major product components end-to-end: concept, design, delivery, and adoption. Build scalable APIs and backend systems in Python, integrating with multiple data sources. Partner with product and commercial teams to turn customer feedback into elegant technical solutions. Use cutting-edge developer tools (e.g. Copilot, Cursor, Claude Code) to speed up iteration. Mentor engineers, define best practices, and influence the team’s technical direction. Prioritise quality and maintainability while moving fast. Continuously learn and explore emerging AI technologies to keep the product ahead.

What We’re Looking For

Strong background in software engineering with a track record of building production systems. Proficiency in Python and comfort with modern backend frameworks and APIs. Experience in fast-paced, product-driven tech environments or startups. Product-minded mindset — you understand business goals and build with customer impact in mind. Excellent communicator, capable of translating complex ideas clearly. Intellectual curiosity and willingness to challenge assumptions. Commercial awareness and a pragmatic approach to trade-offs. Interest in AI-enabled products or automation platforms.

Nice to Have

Experience leading small engineering teams or mentoring others. Familiarity with document processing, NLP, or knowledge-graph-style systems. Previous exposure to enterprise integrations or SaaS products. Comfort working with cloud- infrastructure (e.g. AWS, GCP, Docker).

Why Join

Deep ownership and autonomy — direct impact on product and strategy. High-trust, intellectually honest culture. Competitive comp and equity with strong growth potential. Opportunity to work with a technically elite, globally minded founding team.

If you are interested in applying for this job please press the Apply Button and follow the application process. Energy Jobline wishes you the very best of luck in your next career move.