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Company hidden

Founding AI Engineer

  • Office
  • 3-6 years

Salary

$150,000 - 250,000/ year

AI summary

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Description

AI Transformation for Enterprise Finance

The company builds AI agents for enterprise finance, starting with order to cash. Our customers delegate a process to us, and we run it with agents while finance experts oversee the work. Our agents operate across email, ERPs and customer portals to resolve payment blockers and help businesses get paid.

We’re building agents that can take responsibility for complex financial workflows: reason over messy data, handle exceptions and improve through feedback from finance experts. The challenge is earning the trust to act autonomously in operations that affect real money.

Who we are

Merlin previously served as CPO at Sequence (a16z) and PM at Tessian (Sequoia), and studied industrial engineering at Cambridge. He studied economics at Cambridge.

Our team brings years of experience building AI and finance products and working with hundreds of finance teams. We know this domain inside-out.

The company is global from day one and operates across San Francisco and London.

Responsibilities

  • This is a generalist role and you will be immediately responsible for large product areas and new initiatives. You’ll build products end to end, from understanding a customer’s finance workflow to shipping agents that carry it out. Your work will span the agents, the financial context they reason over, and the tools finance teams use to oversee them. You’ll also build the infrastructure, evaluations and feedback loops that help agents improve from real work. You will ship to production on your first day.
  • You’ll fit if you
  • Have around 2-3 years of software engineering experience and have shipped products people use.
  • Have hands-on experience building with LLMs, agents and tool use.
  • Can work across the stack and own a problem through to production.
  • Learn quickly and want to understand how enterprise finance actually works.
  • This role is full-time in-person in London.
  • Experience: 1+ years
  • Visa: US citizenship/visa not required

Where you’d work

From the office

The office

No visa sponsorship

About the company

Company hidden

Office in London, United Kingdom

Your chances

Still hiring, moderately crowded, and a person reads your message.

  • 16 checks run
  • 6 good signs
  • 1 red flag

Still hiring?

11 checks

Actively hiring

In its favour4

  • Still on the company's own careers site, checked 3 h agoModerate evidence
  • Specific about the basics: pay, place, level, stack and contract all statedSlight evidence
  • States its salarySlight evidence
1 moreFewer
  • A hiring contact is attached to itSlight evidence

How crowded?

5 checks

Moderate

In its favour2

  • You can message the hiring contact and skip the queueModerate evidence
  • In the office in London: only people nearby can take itSlight evidence

Against it1

  • Entry level: the most applied-to level there isModerate evidence
31 roles like this are in their Early WindowFound before the big job boards, while the crowd hasn’t arrived

Fits Me

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Check My Fit
Details11 facts · Role, Location, Compensation, Employment
Tech stack
  • Kafka
  • LLMs
Type
Full-time
Specialty
ML
Region
United Kingdom
Pay period
Annual
Show 6 more factsShow less

Role

Category
Data & Analytics
Specialty
ML
Experience
1+ years
Tech stack
  • Kafka
  • LLMs

Location

Work model
Office
Region
United Kingdom
Office
  • London, United Kingdom
Visa sponsorship
Not sponsored

Compensation

Salary
$150,000 - 250,000 / year
Pay period
Annual

Employment

Type
Full-time

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