What You’ll Do

• Lead and inspire a high-performing engineering team delivering backend systems, APIs, databases, and LLM infrastructure.

• Define and communicate the technical vision, ensuring alignment with product and business goals.

• Guide the design, development, and deployment of scalable AI infrastructure and distributed systems.

• Collaborate closely with product managers, researchers, and architects to translate ideas into impactful, production-grade solutions.

• Foster a culture of innovation, technical excellence, and continuous improvement.

• Provide hands-on technical guidance where required, ensuring robust architecture and high-quality code.

• Drive mentoring, career development, and recruitment to strengthen team capabilities.

What You Bring

• Bachelor’s degree in Computer Science, Mathematics, Physics, or related field (advanced degree preferred).

• 10+ years of software engineering experience, with at least 5 years in engineering leadership roles.

• Proven success in delivering complex distributed systems at scale.

• Strong understanding of AI/ML and large language model (LLM) systems in real-world applications.

• Experience leading teams in fast-paced, high-growth environments.

• Ability to balance deep technical problem-solving with strategic business priorities.

• Excellent English communication skills and ability to lead in global, multicultural teams.

Preferred:

• Experience scaling engineering teams and processes in enterprise environments.

• Contributions to open-source or engagement in the AI/ML community.

• Familiarity with modern development practices, CI/CD, and cloud-native architectures.