AI Engineering Team Lead

Deel

AI Engineering Team Lead at Deel focusing on technical leadership, mentoring, and team collaboration. Engaging in hands-on AI work while driving innovation and delivering exceptional solutions.

Posted 5/15/2026full-timeRemote • 🇩🇪 GermanySeniorWebsite

Tech Stack

Tools & technologies

Distributed SystemsJavaScriptNode.jsPython

About the role

Key responsibilities & impact

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.
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.
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 your 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.

Requirements

What you’ll need

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
Solid understanding of object-oriented programming (OOP) principles
Experience designing maintainable, scalable systems
Ability to write clean, structured, and testable code
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
Experience with analyzing data and leveraging it into actionable insights
Root cause analysis across code, data, and systems
Handling incidents, debugging issues, and managing escalations

Benefits

Comp & perks

Stock grant opportunities dependent on your role, employment status and location
Additional perks and benefits based on your employment status and country
The flexibility of remote work, including optional WeWork access

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

Node.jsPythonAI toolsLLMsAI frameworksRAG systemsprompt engineeringobject-oriented programmingAPIsdata structures

Soft Skills

leadershipmentorshipcollaborationcommunicationproblem-solvingstrategic oversightcontinuous improvementperformance managementteam buildingdiversity advocacy