Full-Stack / Platform Engineer (£90k + Equity) at Handshaik

  • Jack & Jill/External ATS
  • 12/05/2026
Full time Information Technology Telecommunications SQL Python

Job Description

Job Title: Full-Stack / Platform Engineer

Salary: £90k + Equity

Company: Handshaik - AI-native company intelligence platform backed by BigChange founder Martin Port.

Location: London, UK

Job Description: Join a high-growth startup as a foundational engineer building an AI-native platform for M&A and private equity. You will own the entire technical lifecycle-from architecting Python/FastAPI backends and React frontends to managing AWS infrastructure and integrating LLMs via Bedrock. This role offers direct influence over the company's technical future.

Why this role is remarkable:

  • Significant ownership as a foundational hire, working directly with the CTO and founders to define engineering standards and product roadmap.
  • High-performance technical stack involving AI-driven search, vector databases (pgvector), and agent-based workflows at the frontier of dealmaking technology.
  • Strong commercial backing from the BigChange ecosystem and Cambridge AI researchers, moving rapidly toward product-market fit with active early customers.

What you will do:

  • Design, build, and operate a production SaaS platform using Python (FastAPI), React, and PostgreSQL, ensuring high performance and security.
  • Architect and scale cloud infrastructure on AWS using Terraform, ECS, and Lambda while maintaining multi-tenant security and ISO 27001 standards.
  • Develop and optimize hybrid search capabilities and data pipelines, integrating LLMs to automate complex research tasks for dealmakers.

The ideal candidate:

  • 7+ years of experience building and shipping production-grade systems in startup or small-company environments with a strong bias for action.
  • Expert proficiency across the full stack, specifically Python, React/TypeScript, PostgreSQL, and hands-on AWS infrastructure management.
  • Proven ability to make sound architectural decisions independently and a genuine enthusiasm for leveraging AI to solve fragmented manual workflows.