Senior / Staff AI Engineer

Capsa AI; Greater London; Hybrid; GBP 110,000 - 150,000; Full time

Job summary

Capsa AI is hiring a Staff / Senior AI Engineer in London. You will own projects from ideation to production, focusing on AI capabilities and agent infrastructure to deepen due diligence insights for PE funds.

Key tasks include designing prompts and architectures, evaluating models, improving data connectivity, and maintaining high code quality in a fast-paced startup environment with hybrid, in-person work four days a week.

Qualifications

• 4+ years of experience as a software engineer with AI/ML systems exposure.

Responsibilities

• Own projects from conception to production for Capsa's core AI capabilities and agent infrastructure.
• Improve agent capabilities by designing features enabling investment domain expertise.
• Design and optimise prompts, architectures, and reasoning chains for quality and reliability.
• Evaluate and integrate new models, techniques, and research to stay cutting edge.
• Improve connectivity by integrating data sources into the agent loop and analyses.

Skills

Python

LLMs

Agent frameworks

RAG pipelines

Vector databases

FastAPI

Postgres

Elasticsearch

OpenAI

Tools

Open-source models

Job description

Capsa is an AI platform that accelerates due diligence and deepens insights for Private Equity funds. We are hiring Staff / Senior AI Engineers who are comfortable building and improving our AI agents and pushing the boundaries of what's possible with LLMs.

Details:

• Location: London, UK (Hybrid, In-Person 4 days a week)
• Experience: Required: 4+ years
• Visa: Unfortunately, we don't sponsor visas yet. You must have the right to work in the UK.

About Capsa AI

At Capsa, we're on a mission to transform how private capital firms source, analyse, and win deals. Our AI operating system accelerates due diligence, unlocks deeper insights, and helps funds focus on what matters - creating value.

We are lean, ambitious, and obsessed with building a category-defining company. In just 12 months, we’ve grown ARR by 15x, achieved product-market fit with leading multi-billion-dollar PE firms, and expanded across the US, UK, and Europe. Backed by top VCs and senior PE execs from Warburg Pincus, KKR, and Goldman Sachs, we're just getting started.

The Role

A senior AI engineer at Capsa is expected to own projects and features from conception to production, focusing on our core AI capabilities and agent infrastructure.

Key responsibilities include:

• Improving our agent's capabilities - design and implement new features that endow our agent with human-level investment expertise.
• Designing and optimising prompts, agent architectures, and reasoning chains to maximise output quality and reliability.
• Evaluating and integrating new models, techniques, and research to keep our AI capabilities at the cutting edge.
• Improving connectivity - integrate and incorporate additional data sources into our agent loop, increasing the depth and breadth of the analyses that can be performed.
• Maintaining high code quality - uphold rigorous standards across our codebase, ensuring tech debt doesn't impede our velocity.

Recent projects include:

• Agentic assistant with a finance-focused toolkit and advanced document authoring features
• Scalable document ingestion and indexing pipeline
• In-house, streaming-first agent framework

As an early stage startup, working at Capsa will be hard work, it will be messy and at times it will be stressful. However, you will:

• Work directly with our founding team.
• Participate in the upside of an ultra-growth venture.
• Shape the company's vision and will have a direct impact on its success.
• Have the opportunity for fast career growth.

Apply if

You’ll likely be a great fit if most of the following describe you:

• You have 4+ years of experience as a software engineer with significant exposure to AI/ML systems in a venture backed startup or top tech firm.
• You have taken entire products or features from ideation to production and you've measured their impact.
• You have experience with the following technologies (or similar): Python, LLMs (OpenAI, Anthropic, open-source models), agent frameworks, RAG pipelines, vector databases, FastAPI, Postgres, ElasticSearch
• You enjoy diving deep into the domain, understanding the problem, and focusing on delivering value to the customer.
• You thrive in a fast paced environment.

Alongside the core role and growth opportunity, we also offer: