Senior GenAI Engineer (UK)

Pigment; United States; Remote; USD 90,000 - 150,000; Full time

Benefits offered by this job

Stock options

Best health insurance

Remote-friendly environment

Job summary

Pigment is seeking an experienced GenAI Engineer to join our fast-paced team, focusing on NLP projects and product-focused GenAI features. You will work across frontend and backend (C#, Python) to deliver scalable AI capabilities.

We value strong CS fundamentals, hands-on LLM experience, and an ability to translate user needs into simple technical solutions in a remote-friendly, globally distributed environment.

Qualifications

• MS or PhD in CS or equivalent production-grade coding experience.
• Strong programming in Python, C#, Java, Node.js or related languages.
• Hands-on experience prompting large language models and building GenAI features.
• Knowledge of recent agents developments is a plus.

Responsibilities

• Develop bleeding-edge multi-agent features and enhance existing ones.
• Contribute across the stack including frontend, backend, infra and CI.
• Build AI features on Pigment's computation engine with determinism and visualizations.
• Deliver impactful AI solutions with high test coverage and maintainability.

Skills

Python

C#

Java

Node.js

LLM prompting

Education

MS or PhD in Computer Science

Tools

Kubernetes

LangGraph

Job description

Join Pigment: The AI Platform Redefining Business Planning

Pigment is the AI-powered business planning and performance management platform built for agility and scale. We connect people, data, and processes in one intuitive, feature-rich solution, empowering every team—from Finance to HR—to build, adapt, and align strategic plans in real time.

Founded in 2019, Pigment is one of the fastest-growing SaaS companies globally. Industry leaders like Unilever, Snowflake, Siemens, and DPD use Pigment daily to make more informed decisions and confidently navigate any scenario.

With a team of 600+ across Paris, London, New York, Toronto, San Francisco and Austin, we’ve raised nearly $400M from top-tier investors and were named a Visionary in the 2024 Gartner® Magic Quadrant™ for Financial Planning Software.

At Pigment, we take smart risks, celebrate bold ideas, and challenge the status quo—all while working as one team. If you’re driven by innovation and ready to make an impact at scale, we’d love to hear from you.

Pigment is seeking an experienced GenAI Engineer with a strong CS background and experience with Large Language Models (LLM) to join our innovative and fast-paced team.

In this role, you will work on cutting-edge NLP projects and play a crucial part in developing and refining our product. If you are passionate about machine learning, have a strong background in natural language processing, and thrive in a collaborative and high-impact environment, we’d love to hear from you!

What you will do :

• Work on bleeding edge multi-agents features. This includes the improvement of rolled-out features and the conception of new ones.
• Have the opportunity to work on the whole stack. The AI teams have frontend, backend (C# and python), infrastructure and CI skills
• Work on AI features built on top of the Pigment computation engine that provides determinism, auditability and data visualizations
• Work on AI features with an ambitious product vision, that are actively used, have a real world impact and are built to last (high test coverage - you can focus on building the next step, not chasing bugs)

Listen to our podcast on Pigment’s GenAI team

Read more about our vision: Agentic AI for Data Analysis

#LI-GP1

#LI-REMOTE

Requierements

• MS or Ph.D. in Computer Science, or experience writing production-grade code
• Strong programming skills in Python, and/or C#, Java, nodejs, or equivalent
• Hands-on experience on prompting large language models. It can be through the usage of vibe coding tools, or having implemented GenAI features
• Knowledge about the recent developments of agents is a plus
• Excellent problem-solving skills and ability to work independently
• Strong written and verbal communication skills
• Product oriented. GenAI challenges are mainly about translating a user need into a simple technical solution
• Bonus: experience working with kubernetes
• Bonus: experience building agents using langgraph
• Bonus: experience building and shipping complex products on top of LLMs
• Bonus: experience building evaluation pipelines

What you will get

• Competitive package
• Stock options to ensure you have a stake in Pigment’s growth
• The best health insurance with Alan Blue entirely free for you and your family
• Weekly Lunch and Lunch vouchers (Swile card) to cover your lunch breaks with total flexibility
• Subscription to Egym Wellpass (ex-Gymlib) for full access to gyms, studios, and wellness spaces across France
• Trust and flexible working hours
• Along with one company offsite every year, we have brand new offices at the heart of major cities including New York, San Francisco, Toronto, Paris, and London
• High-end equipment (based on stock/availability) to do your work in the best conditions
• Remote-friendly environment

£80,000 - £150,000 a year

We conduct background checks as part of our hiring process, in accordance with applicable laws and regulations in the countries where we operate. This may include verification of employment history, education, and, where legally permitted, criminal records. Any checks will be conducted lawfully prior to formal employment contracts being signed, with candidate consent, and information will be treated confidentially.

Pigment is an equal opportunity employer. We believe diversity is a strength and fosters innovation. We are committed to enabling everyone to feel included and valued at the workplace.All qualified applicants will receive consideration for employment without regard to age, color, family, gender identity, marital status, national origin, physical or mental disability, sex (including pregnancy), sexual orientation, social origin, or any other characteristic protected by applicable laws. We may process your personal data in accordance with our HR Data Protection Notice __.