Qantev is an AI company that helps health insurers deliver better healthcare to their members.

They do that by leveraging insurers’ historical health claims data and by applying Machine Learning techniques and Generative AI to predict patient journeys.

They are backed by top investors and industry leaders, and have customers all across the world (Europe, USA, LATAM, Asia and the Middle East).

They are a growing team of talented, enthusiastic, and diverse professionals. As an early hire, you will have an unparalleled opportunity for ownership and growth within the company.

About Qantev

Qantev is a cutting-edge AI company focused on transforming the health insurance industry. Its platform helps insurers enhance healthcare delivery and streamline claims management through the power of advanced Machine Learning and Generative AI.

By analyzing historical health claims data, Qantev predicts patient journeys, improves health outcomes, and optimizes operations for payers. This data-driven approach enables more efficient, personalized, and impactful healthcare experiences for millions of people worldwide.

Key Facts

• Founded in 2019

• Team of more than 45 professionals across Paris and Hong Kong

• Active in Europe, the United States, Latin America, Asia, and the Middle East

• Supported by top-tier investors and industry experts

Why Join Qantev

• Make a meaningful impact in healthcare through the application of advanced technology

• Work with a diverse and passionate team at the forefront of AI innovation

• Collaborate in a fast-moving, international environment

• Contribute to a mission-driven company revolutionizing health insurance operations

Position overview

We are seeking a Senior AI Lead with deep expertise in Deep Learning, Foundation Models, and Agentic AI systems to drive our next generation of intelligent applications. You will lead a high-performing team of data scientists and ML engineers in developing AI-driven SaaS Product for Healthcare industry.

This role requires a balance of hands-on technical leadership, architectural oversight, and strategic vision to translate cutting-edge AI research into production-level solutions that deliver business value.

Key Responsibilities

• Technical Leadership: Lead the design and development of deep learning models and agent-based AI architectures for Qantev’s Healthcare Claims Data Platform.

• Research & Development: Stay at the forefront of AI advancements in areas such as transformer-based models, reinforcement learning, multi-agent systems, and LLM-based tool use.

• Agentic AI Development: Architect and deploy AI agents with capabilities including long-term memory, planning, reasoning, and autonomous tool use.

• Team Management: Mentor a team of AI scientists and ML engineers, fostering an environment of innovation and collaboration.

• Product Integration: Work cross-functionally with product, engineering, and UX teams to bring AI solutions from prototype to scalable product.

• Evaluation & Metrics: Establish benchmarks, A/B tests, and interpretability metrics for model performance and agent behavior.

• Ethics & Safety: Champion responsible AI practices, including model transparency, fairness, and compliance with Privacy & Security policies & practices.

Qualifications

Required:

• S. or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or related field.

• 6+ years of experience in AI/ML development, with a strong track record in deep learning.

• Expertise in building and deploying models using PyTorch, TensorFlow, or JAX.

• Experience with transformer architectures, diffusion models (e,g. Gemini Diffusion) and reinforcement learning.

• Proven experience with agent frameworks (e.g., LangGraph SmolAgent, Swarn).

• Experience with LLMOps - (e.g. Langsmith, Langfuse)

• Strong understanding of knowledge graphs, planning systems, memory modules, and retrieval-augmented generation (RAG).

• Experience leading AI research or applied ML teams.

• Strong software engineering skills, including experience with large-scale ML pipelines.

Preferred:

• Experience in deploying AI solutions in cloud environments (AWS, GCP, Azure).

• Familiarity with human-in-the-loop systems, simulation environments, and evaluation benchmarks for autonomous agents.

• Experience in aligning agentic behavior with safety and interpretability constraints.

Nice to Have:

• Familiarity with open-source foundation models (e.g., LLaMA, Mistral, Qwen, Gemma, Phi) and fine-tuning them for agent tasks.

• Experience in InsurTech or Healthcare Industry.

Soft Skills:

• Be Pro-active, Product minded and Business driven.

• Strong leadership and team-building skills with a proven ability to inspire, motivate, and develop data scientists & ML engineers.

• Excellent problem-solving, analytical, and troubleshooting skills.

• Strong written and verbal communication skills with the ability to explain complex technical concepts to non-technical stakeholders.

• Ability to work in a fast-paced, dynamic environment, managing multiple priorities and deadlines.

• Additional information

  • Hybrid work: 3 days on-site (mandatory: Monday and Thursday) and 2 days remote.
  • Swile meal card: €10 per day, 59% employer contribution
  • Health insurance (Alan Blue): 50% covered by the company (+ Partner/Spouse)
  • Bike storage & Showers available on-site
  • Public transport subscription: 50% reimbursed
  • Regular team-building activities with the team
  • Start date: ASAP

  • Important note

    If this opportunity excites you but you do not meet every single requirement, we still want to hear from you. At Qantev, we believe that diverse perspectives drive innovation, and every application brings value, whether it leads to success or learning.

    Research shows that women often apply only when they meet all the listed qualifications. If you identify as a woman, we encourage you to apply even if you do not check every box, because your skills and potential matter most.

Recruitment process

• Screening interview (30min)

• Quantitative Interview (1h)

• Coding / System Design Interview (1h)

• Leadership Interview (1h)

• Contract Type: Full-Time
• Start Date: 05 January 2026
• Location: Paris
• Education Level: PhD and more
• Experience: > 5 years
• Possible partial remote