Staff AI Engineer

Hrflow; Paris; Hybrid; EUR 110,000 - 150,000; Full time

Job summary

HrFlow.ai is seeking a Staff AI Engineer to lead the design, development, and deployment of cutting-edge AI systems powering our platform. You will work at the intersection of research and engineering, turning state-of-the-art models into production-ready services affecting millions of candidates and recruiters.

Collaborate with AI scientists, software engineers, and product leaders to drive innovation across the stack from research experiments to cloud deployments.

Qualifications

• PhD in ML/CS/Applied Math with 3+ years in R&D.
• Master's degree in a related field with strong research background.
• Strong Python expertise with ML libraries (PyTorch/TensorFlow).
• Experience deploying AI models to production and building scalable data pipelines.

Responsibilities

• Lead design and implementation of scalable, production-ready AI models.
• Bridge research and engineering: prototype, evaluate, and deploy ML/NLP models.
• Architect and maintain data pipelines for training, inference, and evaluation.
• Collaborate with product and engineering teams to integrate AI features.

Skills

PhD +3y R&D

Python

PyTorch/TensorFlow

MLOps

NLP

Data pipelines

CI/CD

Production AI

Education

PhD in ML/CS/Applied Math

Master's degree in related field

Tools

AWS

Docker

CI/CD tools

Git

Job description

After two years of intense AI research and development at Ecole Normale Superieure and Ecole Centrale Paris, HrFlow.ai was founded in June 2016 to solve the labor market and employment challenges at scale using the latest innovations in AI.

Having developed a proprietary AI and workflow technology from the ground up that unifies HR data silos, identifies the right candidates for the right jobs without bias, and automates it all, HrFlow.ai has already gained traction with over +1,000 clients, large and small.

HrFlow.ai raised an initial seed round of 2.3M$ in 2018 from some of the most successful technology entrepreneurs in Europe and the United States, including Xavier Niel (Free Telecom & Station F), Dominique Vidal (Index Ventures), Romain Niccoli (Criteo & Pigment), Jean-Baptiste Rudelle (Criteo), Franck Le Ouay (Criteo & LIFEN), Thibaud Elzière (Fotolia & e-Founders), and has since self-funded its growth.

We love AI engineering, problem-solving, and business.

Join our diverse team and help us build the next chapter of our exciting growth!

Your Mission

As a Staff AI Engineer at HrFlow.ai, you will lead the design, development, and deployment of cutting-edge AI systems that power our platform. You’ll work at the intersection of research and engineering, transforming state-of-the-art models into production-ready services that impact millions of job candidates and recruiters.

You’ll collaborate closely with fellow AI scientists, software engineers, and product leaders to drive innovation across the stack—from research experiments to cloud deployments. This is a hands-on role requiring deep technical expertise, strategic thinking, and a passion for production-grade AI.

Responsibilities

• Lead the design and implementation of scalable, production-ready AI models.
• Bridge research and engineering: prototype, evaluate, and deploy deep learning and NLP models.
• Architect and maintain efficient data pipelines for training, inference, and evaluation.
• Collaborate with engineering and product teams to integrate AI features across the platform.
• Mentor junior AI researchers and engineers, sharing best practices and technical vision.
• Contribute to open-source projects and/or publications when aligned with company goals.
• Monitor and optimize deployed models in real-time environments (e.g., cloud, containers).
• Stay on top of the latest AI trends, tools, and benchmarks.

About You - Must Have

• PhD in Machine Learning, Computer Science, Applied Math, or a related field + 3 years in R&D OR Master’s degree + 7+ years of experience in applied AI R&D roles.
• Deep proficiency in Python, with strong experience in ML libraries (e.g., PyTorch, TensorFlow, scikit-learn).
• Strong experience with deploying AI models in production environments (e.g., using AWS, Docker, CI/CD pipelines).
• Familiarity with advanced NLP, and retrieval systems is a strong plus.
• Experience designing and optimizing large-scale data processing pipelines.
• Strong understanding of model evaluation metrics, benchmarks, and MLOps principles.
• Clear and effective communicator who thrives in collaborative, cross-functional teams.
• Go fast and learn a lot
• High-impact position and responsibilities without any day being the same.
• Competitive salary and variable compensation