Felix Research
Senior Full-Stack Engineer

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About Felix Research
Felix Research is building Analyst One, an AI-native research platform for high-trust professional research. We help investment professionals work through large and complex datasets, analyse source material, extract evidence and produce research that remains fully traceable to the underlying documents. We are a small, ambitious team building towards our next stage of growth, and we are looking for a Senior Full-Stack Engineer to join us.
The role
You will work closely with Dimitri, our Founding Engineer, and the wider Felix Research team to build and scale Analyst One. This is a highly hands-on role with significant product and technical ownership.
You will work across the stack, from product interfaces and APIs to data stores, asynchronous processing and cloud infrastructure. We are looking for someone who enjoys taking a problem from an early idea through to production, rather than simply working through a predefined engineering backlog:
- Build and ship new product features end-to-end
- Work across frontend, backend, APIs, databases and infrastructure
- Build AI workflows involving document ingestion, OCR, structured extraction, retrieval, knowledge graphs and source-grounded chat
- Integrate LLMs, embedding models and other AI services into production systems
- Improve product performance, reliability and scalability
- Investigate and resolve problems across multiple services
- Work directly with founders and users to turn real problems into useful products
- Help shape technical decisions and engineering practices as the team grows
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Our technology
Our core stack includes Python, TypeScript, React, TanStack, Drizzle, PostgreSQL, SQLite, Redis, AWS. We do not expect you to have used every technology in our stack. Strong engineering fundamentals and the ability to become productive in unfamiliar systems matter more.
What we are looking for
We care more about what you can build and ship than whether you tick every box. Ideally, you have:
- Strong full-stack software-engineering experience
- Experience building and operating production SaaS products
- Strong TypeScript experience, or experience with a comparable language and ecosystem
- Experience owning features across frontend, backend and data layers
- A good understanding of APIs, databases, asynchronous systems and cloud infrastructure
- Strong engineering fundamentals and attention to product quality
- Experience working in a startup or similarly fast-moving environment
- The ability to take ownership, work independently and communicate trade-offs clearly
- Experience building AI or LLM applications, retrieval systems, document-processing platforms or data-intensive products would be particularly valuable. Financial-services experience is useful but not required.


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What matters to us
We are looking for a builder: someone who wants to understand why a feature matters, challenge the proposed solution when appropriate, build the right solution and get it into users’ hands. You should be comfortable with ambiguity, ownership and the pace of an early-stage technology company. Because our users make consequential decisions from research, you should also care deeply about reliability, traceability and keeping conclusions connected to their underlying evidence.
What we offer
- Significant ownership over what you build
- Direct influence on product and technical decisions
- The opportunity to solve difficult AI and research problems
- Close collaboration with founders and users
- A small team with very little bureaucracy
- Flexible working arrangements
- Competitive compensation
If you enjoy building products from the ground up, taking responsibility for them in production and seeing the direct impact of your work, we would like to hear from you.
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