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About the Role
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!
Responsibilities
- Work on bleeding edge multi-agents features, including improvement of rolled-out features and conception of new ones.
- Work on the whole stack, including frontend, backend (C# and python), infrastructure, and CI.
- Work on AI features built on top of the Pigment computation engine, providing 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 with high test coverage.
Requirements
- 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 prompting large language models, either through usage of vibe coding tools or implementation of GenAI features.
- Knowledge of recent developments in agents is a plus.
- Excellent problem-solving skills and ability to work independently.
- Strong written and verbal communication skills.
- Product oriented, with the ability to translate user needs into simple technical solutions.
- 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 (bonus).
Skills
- Large Language Models (LLM)
- Natural Language Processing (NLP)
- Machine Learning
- Python
- C#
- Java
- nodejs
- Kubernetes
- Langgraph
Location
- New York
- San Francisco
- Toronto
- Paris
- London
- Austin
Work Type
- Remote
- Remote-friendly environment
Experience Level
- Experienced
Education Level
- MS or Ph.D. in Computer Science
Salary/Compensations
- £80,000 - £150,000 a year
Benefits
- Competitive package
- Stock options
- Health insurance with Alan Blue
- Weekly Lunch and Lunch vouchers (Swile card)
- Subscription to Egym Wellpass
- Trust and flexible working hours
- Company offsite every year
- Brand new offices
- High-end equipment
About the Company
- Pigment is the AI-powered business planning and performance management platform built for agility and scale.
- Connects people, data, and processes in one intuitive, feature-rich solution, empowering every team 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 use Pigment daily to make more informed decisions and confidently navigate any scenario.
- Team of 600+ across Paris, London, New York, Toronto, San Francisco and Austin.
- Raised nearly $400M from top-tier investors.
- Named a Visionary in the 2024 Gartner® Magic Quadrant™ for Financial Planning Software.
- Culture: take smart risks, celebrate bold ideas, and challenge the status quo—all while working as one team.
- Driven by innovation and ready to make an impact at scale.
Equal Opportunity
- 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.