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- Tasks: Build AI agents for financial automation and enhance decision-making for businesses.
- Company: Join Nebula Finance, an innovative startup revolutionising financial management with AI.
- Benefits: Equity in a promising startup, high autonomy, and direct collaboration with founders.
- Why this job: Be part of a groundbreaking team shaping the future of finance with AI technology.
- Qualifications: Experience in AI/ML systems, strong Python skills, and comfort in dynamic environments.
- Other info: Exciting opportunity for high ownership and career growth in a fast-paced startup.
The predicted salary is between 36000 - 60000 £ per year.
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.
The role involves 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):
- Intro call (20–30 mins)
- Technical interview (60 mins)
- Practical exercise (short, role-relevant)
- Final founder conversation (equity, scope, timeline)
AI Engineer in Derby employer: Nebula Finance
Contact Detail:
Nebula Finance Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer in Derby
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and fintech space on LinkedIn or at meetups. A personal connection can make all the difference when it comes to landing that interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those involving agentic systems. This will give you an edge and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for the practical exercise! Brush up on your Python skills and be ready to discuss your approach to building AI agents. We want to see your thought process and problem-solving abilities.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take the initiative to connect directly.
We think you need these skills to ace AI Engineer in Derby
Some tips for your application 🫡
Show Your Passion for AI: When you're writing your application, let your enthusiasm for AI and agentic systems shine through. We want to see how your experience aligns with our mission at Nebula Finance, so don’t hold back on sharing your journey in the field!
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for the AI Engineer role. Highlight relevant projects and skills that match what we’re looking for, especially your hands-on experience with AI/ML systems and Python. This helps us see why you’re a great fit!
Be Clear and Concise: Keep your application clear and to the point. We appreciate straightforward communication, so avoid jargon unless it’s necessary. This will help us understand your qualifications without getting lost in the details.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at Nebula Finance!
How to prepare for a job interview at Nebula Finance
✨Know Your AI Stuff
Make sure you brush up on your AI and machine learning knowledge, especially around agentic systems. Be ready to discuss your past experiences shipping AI/ML systems into production and how you've tackled challenges in those projects.
✨Showcase Your Problem-Solving Skills
Prepare to demonstrate your hands-on experience with multi-step workflows and how you've implemented safety mechanisms in your previous roles. Think of specific examples where you had to design tooling interfaces or integrate capabilities into user workflows.
✨Get Comfortable with Ambiguity
Since this is an early-stage role, be ready to talk about how you handle uncertainty and high ownership. Share instances where you've thrived in ambiguous situations and how you approached problem-solving without a clear path.
✨Engage with the Founders
During the final conversation with the founders, show genuine interest in their vision for Nebula Finance. Ask insightful questions about the company's direction and how your role as an AI Engineer can contribute to achieving that vision.