Backend Tech Lead – AI Platform

About Us
HiBob helps modern, mid-size businesses transform the way they manage people, giving HR and managers everything they need to connect, engage, develop, and retain top talent.
Since 2015, we’ve experienced exceptional growth and today serve over 5,500 companies worldwide. Our platform powers modern HR for companies such as Monzo, Fiverr, Gong, Happy Socks, and VaynerMedia.

Come and be you with us
Being a Bobber is all about being yourself. We want you to bring your ideas, curiosity, and passion to work, giving you the freedom and confidence to do your best work every day.

About the Team
The AI Group is building the foundation for AI across HiBob.
We develop the AI infrastructure that powers the AI experience throughout the product. We ensure the production AI platform is stable, reliable and secure.
Our mission is not only to build AI-powered features, but to enable every product team at HiBob to build reliable, scalable, and high-quality AI experiences.
We work with modern LLM technologies, agentic workflows, MCP, retrieval systems, evaluation pipelines, distributed systems, and production-grade AI infrastructure, deploying to production multiple times a day.

What We’re Looking For
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.