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.
Full-Stack / Platform Engineer at Handshaik
Handshaik is hiring a foundational Full-Stack / Platform Engineer to revolutionize M&A and private equity through an AI-native intelligence platform. Backed by the founder of BigChange and Cambridge AI researchers, this role gives you end-to-end ownership of a sophisticated stack including Python, React, and AWS Bedrock. If you are a high-calibre engineer with 7+ years of experience who thrives in low-structure, fast-moving environments, this is your chance to shape the technical future of a well-funded startup from the ground up while earning £90k plus equity.
Overview
Why this role stands out
Company
Handshaik - AI-native company intelligence platform backed by BigChange founder Martin Port.
Backed by Port Growth Partners, Martin Port.
Responsibilities
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.
Candidate profile
Who this is a fit for
- 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.
What makes it remarkable
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.
Jack & Jill
How Jack & Jill work together
About Jack & Jill
Meet Jack
Jack gets to know what you are great at, what you want next, and makes sure Jill considers you for the right opportunities.
How does this work?
Jack's an AI agent for job searching and career coaching. He works for you.
Jill is the AI recruiter working for the company. She recruits from Jack's network.
If it's a match and the company wants to meet you, they'll make the intro. In the meantime, if you'd like, Jack will send you excellent alternatives.