Backend Tech Lead – AI Platform

Join HiBob, a rapidly growing HR tech company, as a Backend Tech Lead for our AI Platform. In this role, you will lead the technical direction of our AI infrastructure, ensuring stability, reliability, and security. You will work with modern LLM technologies and deploy to production multiple times a day. Ideal candidates have 10+ years of software engineering experience, 3+ years as a tech lead, and strong AI engineering skills.

Missions

• Lead the technical direction and architecture of the AI platform, ensuring the production AI platform is stable, reliable, and secure.
• Collaborate with product teams to enable the development of reliable, scalable, and high-quality AI experiences across the product.
• Mentor and guide a team of engineers, fostering a culture of continuous improvement and innovation in AI engineering practices.

Profil recherché

Requirements are often considered a measure of how equipped you are to do the job-but they're not the only factor.

If you don't meet every requirement but believe you'd be a great fit, we'd still love to hear from you.

Must Have

• 10+ years of software engineering experience with a strong backend background.
• 3+ years as a Tech Lead or technical leader in fast-paced environments.
• Strong AI engineering skills, including context engineering, agent optimization, troubleshooting, and systematic evaluation of AI system performance.
• Excellent system design and distributed systems experience.
• Strong understanding of scalable cloud architectures (AWS or equivalent).
• Experience building production-grade backend services and microservices.
• Excellent communication and stakeholder management skills.
• Passion for solving complex technical problems.
• Curiosity and excitement about AI and rapidly evolving technologies.
• Ability to lead technical direction while remaining hands-on.

• Experience building LLM-powered products.
• Experience with Agentic AI, Tool Calling, MCP, RAG, or AI orchestration frameworks.
• Experience designing AI evaluation frameworks and datasets.
• Experience with AI observability and production monitoring.
• Experience building internal developer platforms.
• Experience with Kotlin, Scala, or Java.
• Experience working with event-driven architectures.