AI Engineering Lead - Hybrid

Stack

Responsibilities

• ▹Lead the concept, architecture, and implementation of scalable AI systems
• ▹Build and optimize AI agents end-to-end
• ▹Work with embeddings and fine-tune LLMs for classification and reranking
• ▹Apply RLHF and DPO to align LLMs with human feedback
• ▹Build robust data pipelines for efficient processing of unstructured data
• ▹Optimize algorithms for semantic search and indexing
• ▹Ensure backend scalability, stability, and performance

Requirements

• ▹Solid knowledge of NLP, LLMs, embeddings, ML, and AI-based applications
• ▹Experience in full-stack development (React, TypeScript, Python)
• ▹Proven experience building complex, production-grade AI systems
• ▹DevOps and cloud know-how: Docker, Kubernetes, Azure/AWS/GCP, Terraform
• ▹Independent, proactive way of working, able to operate with minimal guidance
• ▹Fluent German language skills

Nice to have

• ▹Product-oriented mindset, thinking in end-to-end solutions
• ▹Leadership potential and willingness to grow into a Founding Engineer role

Soft skills

What we offer

• ▹Real ownership in building a product with genuine impact, not just task execution
• ▹Professional and personal growth potential with a path to a key role
• ▹Trust and responsibility: room for initiative and independent decisions
• ▹Transparent, direct, open communication
• ▹A fast, clear hiring process aiming to conclude within two weeks

About the company

Qodia is a dynamic HealthTech startup on a mission to radically simplify healthcare billing processes; using advanced generative AI technology, it automates the complex, time-consuming steps of medical documentation and billing to free up more time for patients.