AI Engineer

Nebula Finance; Remote; GBP 100,000 - 125,000; Full time

Job summary

A pioneering financial tech startup is seeking an AI Engineer to develop an AI-powered automation layer for financial management. The role requires strong experience in AI systems, particularly in agentic patterns, and proficiency in Python. This position offers meaningful equity and high autonomy while working closely with founders in an early-stage environment. The ideal candidate should thrive in ambiguity and enjoy contributing to meaningful innovations that enhance business decision-making.

Benefits

Meaningful equity

High autonomy

Direct collaboration with founders

Qualifications

• Strong experience shipping AI/ML or LLM-powered systems into production.
• Hands-on experience with agentic patterns, like planning and execution.
• Experience with automation and orchestration systems.

Responsibilities

• Build AI agents for multi-step workflows across product surfaces.
• Design interfaces for agents and implement safety mechanisms.
• Monitor and evaluate agent performance metrics.

Skills

AI/ML production experience

Strong Python skills

Experience with agentic patterns

Workflow automation

Human-in-the-loop systems

Comfort with ambiguity

Job description

AI Engineer (Agentic Systems) — Equity Only (pre-funding) - Nebula Finance | London / Remote (UK / Europe time zones)

Compensation

Equity only at this stage. Cash compensation will be available once funding is completed and post go-to-market.

Type

Full-time preferred (open to exceptional part-time)

About Nebula Finance

Nebula Finance is building an AI-powered financial management platform for freelancers, startups, and SMBs. We’re focused on using AI to automate financial operations safely and reliably, reducing admin time and improving decision-making for business owners.

Our vision goes beyond financial management. Additional details will be shared later in the interview process once an NDA is signed.

The role

We’re hiring an AI Engineer focused on agentic systems to help build and ship our AI automation layer. You’ll design and implement AI agents that can handle multi-step tasks, interact with internal tools/services, and operate with strong safety controls and human-in-the-loop review where needed. This is an early, high-ownership role working closely with the founding team.

What you’ll do

• Build AI agents that can plan and execute multi-step workflows across product surfaces.
• Design tooling interfaces for agents (function calling, permissions, safe action boundaries).
• Implement safety and reliability mechanisms (confidence gating, fallbacks, escalation paths, audit logs).
• Create evaluation and monitoring for agent performance (quality, cost, latency, failure modes).
• Partner with engineering/product to integrate agent capabilities into real user workflows.

What we’re looking for

• Strong experience shipping AI/ML or LLM‑powered systems into production.
• Hands‑on experience with agentic patterns (tool use, planning/execution loops, routing, self‑checks).
• Strong Python skills and comfort building APIs/services.
• Pragmatic approach to reliability, testing, and operational excellence.
• Comfortable working in an early‑stage environment with ambiguity and high ownership.
• Experience with workflow automation systems, orchestration, or event‑driven architectures.
• Experience with human‑in‑the‑loop systems and escalation design.
• Familiarity with regulated domains (fintech, health, insurance) where correctness and auditability matter.

What we offer

• Meaningful equity in an early‑stage company.
• High autonomy, direct founder collaboration, and real technical ownership.
• A clear path to cash compensation once funding is completed and post go-to-market.

Interview process (lean + practical)

1. Intro call (20–30 mins)
2. Technical interview (60 mins)
3. Practical exercise (short, role‑relevant)
4. Final founder conversation (equity, scope, timeline)