Senior GenAI Engineer — Build Multi-Agent AI (Remote)

Pigment; France; Hybrid; EUR 80,000 - 140,000; Full time

Benefits offered by this job

Stock options

Health insurance (Alan Blue)

Lunch vouchers

Gym access

Remote-friendly environment

Job summary

Pigment is seeking an experienced GenAI Engineer with a strong CS background to join our fast-paced team. You will work on cutting-edge NLP projects, developing and refining GenAI features that integrate with Pigment's computation engine, delivering deterministic results and rich data visuals.

The role requires hands-on experience with large language models, strong coding skills in Python (and optionally C#, Java, or Node.js), and a product‑oriented mindset.

Qualifications

• MS or PhD in Computer Science or equivalent production-grade coding experience.
• Proficient in Python and at least one of C#, Java, Node.js.
• Experience prompting large language models and implementing GenAI features.
• Knowledge of recent developments of agents is a plus.
• Excellent problem-solving and ability to work independently.
• Strong written and verbal communication skills.
• Product oriented; GenAI challenges involve translating user needs into simple technical solutions.

Responsibilities

• Work on bleeding-edge multi-agent features and design new capabilities.
• Contribute across the stack: frontend, backend (C# and Python), infrastructure, CI.
• Develop AI features on Pigment's computation engine ensuring determinism and visualizations.
• Deliver features with high test coverage and real-world impact.

Skills

Strong problem-solving

Excellent communication

Independent work

Product oriented

Team collaboration

Education

MS or PhD in Computer Science

Tools

Python

C#

Java

Node.js

Kubernetes

LangGraph

Job description

Pigment is seeking an experienced GenAI Engineer with a strong CS background to join our fast-paced team. You will work on cutting-edge NLP projects, developing and refining GenAI features that integrate with Pigment's computation engine, delivering deterministic results and rich data visuals.

The role requires hands-on experience with large language models, strong coding skills in Python (and optionally C#, Java, or Node.js), and a product‑oriented mindset.