AI Engineering Team Lead

As a Team Lead, Engineering at Deel, you will lead a cross-functional team of 6-10 professionals, with a balance of leadership and hands-on technical work with AI. You will drive technical excellence, mentor your team, and deliver scalable, innovative solutions in a fast-paced, startup-like environment. By fostering collaboration and adopting best practices, you will ensure the team meets organizational goals and delivers exceptional user experiences.

Get Ready To:

Lead with Technical and Team Excellence:

• Serve as a technical leader, combining hands-on development with strategic oversight.
• Design, code, and deliver high-quality, scalable applications using modern tech stacks (Node.js, Python, or similar).
• 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 and technical quality.
  
  

Elevate Team Effectiveness:

• 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.
  
  

Strategize and Execute for Impact:

• 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 your teams in cross-functional discussions, aligning technical requirements with business objectives.
  
  

Build Teams and Foster Culture:

• 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.
  
  

Lead Cross-Functional Collaboration:

• 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, scalability, and long-term success.
• Resolve complex, multi-team technical challenges by fostering collaboration across disciplines.
  
  

MUST-HAVE (NON-NEGOTIABLE TECHNICAL BAR)

• 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:
• • 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