AI Engineering Team Lead

The Team Lead, Engineering leads a cross‑functional team of 6‑10 professionals, combining hands‑on development with strategic oversight.

• Serve as a technical leader, combining hands‑on development with strategic oversight.
• Design, code, and deliver high‑quality, scalable applications using modern tech stacks.
• Provide mentorship and technical guidance, fostering growth and skill development within the team.
• Ensure best practices in development, testing, and deployment, driving innovation and excellence.
• Conduct thorough code reviews to maintain high coding standards.
• Collaborate closely with product and design teams to create extraordinary user experiences.
• Drive technical planning and execution, balancing short‑term objectives with long‑term system health.
• Promote Agile methodologies to enhance team productivity and effectiveness.
• Facilitate knowledge sharing, cross‑team collaboration, and continuous improvement.
• Define and implement technical strategies in alignment with organizational goals.
• Lead innovation through rapid prototyping, iterative development, and problem‑solving.
• Identify technical risks and implement mitigation strategies to ensure successful delivery.
• Represent teams in cross‑functional discussions, aligning technical requirements with business objectives.
  
  Play an active role in hiring and scaling the teams, ensuring alignment with company values.
• Manage performance cycles, provide structured feedback, and support the professional growth of team members.
• Cultivate a culture of collaboration, inclusion, continuous learning, and engineering excellence.
• Champion diversity and foster an environment where all team members thrive.
• Partner with product, design, and other engineering teams to ensure seamless alignment on goals.
• Coordinate efforts across teams to drive complex projects and ensure shared objectives are met.
• Communicate technical challenges, opportunities, and solutions effectively to stakeholders.
• Push back on product decisions when necessary, presenting well‑reasoned arguments to prioritize technical health.
• Resolve complex, multi‑team technical challenges by fostering collaboration across disciplines.

• 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 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
  • Debugging integrations and system interactions.
  • Understanding data flow across services.
• Data analysis proficiency
  • Experience with analyzing data and leveraging it into actionable insights.
• Strong problem‑solving ability
  • Root cause analysis across code, data, and systems.
• Experience working in production environments
  • Handling incidents, debugging issues, and managing escalations.
• Have hands‑on, impactful experience with AI/LLM technologies and can demonstrate proficiency in building or shipping AI‑powered features.
• Come from either a Backend Engineer or Frontend Engineer background.
• Have robust experience in product companies where you’ve shipped features and driven user impact.
• Thrive in environments requiring both technical expertise and leadership.
• Combine strategic vision with attention to detail in decision‑making.
• Demonstrate a commitment to collaboration, continuous learning, and team success.
• Drive innovation while balancing immediate goals with long‑term technical health.

• Experience navigating cross‑browser and cross‑platform development challenges.
• Contributions to open‑source projects or technical communities.