AI Lead

Join Qantev, a leading company in the healthcare insurance market, as an AI Lead. In this role, you will spearhead the Intelligence, RAG & Context stream, leading hands-on development, architecting production-grade pipelines, and mentoring a team of AI and Data Engineers. You will be responsible for turning raw cognitive power into concrete, enterprise-grade SaaS features that power the claims management process. The ideal candidate will have a deep background in traditional Machine Learning and experience in LLMs, Advanced RAG, and Agentic AI systems.

• Architect, code, and deploy multi-agent systems and deep learning models for Qantev's Claims Data Platform.
• Apply your dual expertise to combine traditional ML and rule-based systems with GenAI/Agentic architectures for complex hybrid reasoning and fraud detection.
• Ensure that all AI models are wrapped in strict, high-performance, business-oriented, API-first contracts that allow seamless integration with our product dev team.

### **Required Experience & Qualifications**

• **Education:** Master’s degree or PhD from a Top-Tier Engineering School or top University, specialized in Computer Science, AI, or Applied Mathematics.
• **Experience:** 7+ years of hands-on experience in applied AI/ML development, with a proven track record of shipping models to production.
• **The GPT Pivot:** Clear evidence of having successfully navigated the GPT pivot moving from heavy custom model training/feature engineering to mastering Foundation Models orchestration, advanced prompting, and tool use.
• **Healthcare or Regulated Industry:** Experience in regulated industries is a plus, particularly with model explainability, data privacy, and the secure handling of sensitive data.
• **Technical Stack Expertise:**
• Deep mastery of LLMs, Python, and large-scale data processing pipelines.
• Hands-on experience with modern agentic frameworks (e.g., LangGraph, SmolAgents, Swarm) and the Model Context Protocol (MCP).
• Solid foundation in LLMOps tooling (e.g., MLflow, Langfuse, Langsmith) for tracing, scoring, and benchmarking autonomous agents.
• Strong understanding of vector databases, advanced RAG patterns, and knowledge graphs.

### **Soft Skills & Mindset**

• **Product-Minded & Business-Driven:** You care about the user impact and the business value of your algorithms, and provide a great production accuracy score.
• **High Ownership:** You thrive in lean, high-performing environments. You prefer moving fast with a small team of A-players.
• **Communication:** Exceptional ability to translate complex probabilistic behaviors into clear, structured insights for non-technical stakeholders (Product, Sales, Clients).