AI Engineering Team Lead

Deel Deel · Enterprise · Germany · R&D

Deel is seeking an AI Engineering Team Lead to lead a cross-functional team of 6-10 professionals. The role involves hands-on development with AI, designing and delivering scalable applications, mentoring the team, and ensuring best practices. Responsibilities include technical planning, innovation, risk mitigation, hiring, performance management, and fostering a collaborative culture. The candidate must have hands-on experience with AI tools, LLMs, AI-augmented development workflows, integrating AI capabilities, building AI-powered features in production, and understanding LLM behavior, RAG systems, prompt engineering, or agent orchestration. Strong software engineering fundamentals, SQL skills, and experience with APIs/distributed systems are also required.

What you'd actually do

  1. Serve as a technical leader, combining hands-on development with strategic oversight.
  2. Design, code, and deliver high-quality, scalable applications using modern tech stacks (Node.js, Python, or similar).
  3. Provide mentorship and technical guidance, fostering growth and skill development within the team.
  4. Ensure best practices in development, testing, and deployment, driving innovation and excellence.
  5. Conduct thorough code reviews to maintain high coding standards and technical quality.

Skills

Required

  • AI/LLM Capability
  • Hands-on experience with AI tools, LLMs, or AI-augmented development workflows
  • Proven ability to integrate or leverage AI capabilities within applications
  • Experience working with modern AI frameworks, RAG systems, prompt engineering, or agent orchestration
  • Demonstrated expertise in building AI-powered features or systems in production environments
  • Understanding of LLM behavior, non-determinism, cost optimization, and hallucination detection
  • Strong software engineering fundamentals
  • Solid understanding of object-oriented programming (OOP) principles
  • Experience designing maintainable, scalable systems
  • Ability to write clean, structured, and testable code
  • Strong SQL skills
  • Ability to write complex queries from scratch
  • Deep understanding of data structures and query performance/impact
  • Experience working with APIs and distributed systems

What the JD emphasized

  • AI/LLM Capability
  • Hands-on experience with AI tools, LLMs, or AI-augmented development workflows
  • Proven ability to integrate or leverage AI capabilities within applications
  • Experience working with modern AI frameworks, RAG systems, prompt engineering, or agent orchestration
  • Demonstrated expertise in building AI-powered features or systems in production environments
  • Understanding of LLM behavior, non-determinism, cost optimization, and hallucination detection

Other signals

  • AI/LLM Capability
  • integrate or leverage AI capabilities within applications
  • building AI-powered features or systems in production environments