Founding Engineer | Remote | Financial Services

An established, highly profitable business (ARR doubling YoY) is investing heavily in technology as the next phase of growth. This is a rare opportunity to join as the first engineering hire, taking an early-stage product and shaping it into a production-grade platform at the core of the business.

You’ll work directly with the founder and key stakeholders to build systems that power real operations - with immediate impact on revenue, efficiency, and scalability. This isn’t a speculative startup - it’s a stable, growing company where the product already has users, data, and clear direction.

The Role

You’ll join as a Founding Engineer, owning an existing MVP and driving it through to a scalable, production-ready platform. This is a true 0→1 (and 1→n) role - combining backend-heavy engineering with product thinking, architecture, and real ownership.

There’s no traditional product layer - you’ll help define what gets built as much as you build it, working closely with end users to solve meaningful problems.

Key Responsibilities:

1. Take ownership of an early-stage product and evolve it into a robust, scalable system
2. Design and build backend-heavy systems, with some frontend components where needed
3. Develop data pipelines and integrations across internal tools and third-party platforms (APIs, SDKs)
4. Build systems that leverage AI/LLMs to automate complex workflows and generate structured outputs
5. Collaborate directly with internal stakeholders to understand workflows and translate them into software
6. Make product and technical decisions in a fast-moving, low-structure environment
7. Continuously improve architecture, performance, and scalability
8. Play a key role in shaping the future engineering team as the company grows

What You Bring:

1. Strong backend engineering experience (Python preferred)
2. Full-stack capability (JavaScript / React)
3. Experience taking products from early-stage → production
4. Hands-on experience with APIs, integrations, and data flows
5. Exposure to AI/LLMs (e.g. document processing, prompt engineering, structured outputs)
6. Comfortable operating without heavy structure or defined requirements
7. Product mindset - able to prioritise, make decisions, and execute independently

Why This Role:

1. Be the first engineer and own a product end-to-end
2. Build from scratch within a profitable, scaling business
3. Direct impact on revenue and operational efficiency from day one
4. Work on meaningful AI-driven problems, not surface-level features
5. High ownership without early-stage startup risk
6. Clear path to build and lead the engineering function over time

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