Are you a collaborative Software Engineering Lead looking to work for a mission driven global organization? About the role - As Engineering Lead—You will lead and manage a small team of engineers, fostering their growth and ensuring delivery excellence. You will be entrusted with making sure your team is set up for success as they deliver products. This position serves as a subject matter expert for a specific team of Software Engineers. In addition to writing code on complex systems and applications, this position provides direction on project plans, schedules, and methodologies. About the team, This team supports CK AI Service team. The new Lead Engineer will have six direct reports and will own the technical strategy and execution for the CK AI Service, including the design and governance of retrieval-augmented generation (RAG) workflows and API expansion. This role will improve delivery velocity, reduce bottlenecks and single points of failure, drive standardization, mentoring, and cross-functional alignment as the platform matures, and establish a sustainable leadership model to support the planned division and growth of the team. Requirements Proven ability to lead, mentor, and grow engineering teams, including managing performance, career development, and team health Established track record of creating high-performing, collaborative team environments and reducing knowledge silos Ability to remove blockers, manage priorities, and improve delivery velocity across a team Experience establishing scalable team structures and leadership models to support growth Deep expertise in designing and delivering distributed systems and APIs at scale Ability to define and execute technical strategies, balancing short-term delivery with long-term platform sustainability Experience with microservices architecture, API design, and system integration Proven ability to identify and eliminate single points of failure and improve system resilience Hands-on experience designing and implementing retrieval-augmented generation (RAG) workflows Understanding of: LLM integration and orchestration Embeddings and vector search Retrieval pipelines and ranking strategies Experience building AI-powered APIs and services for production environments Ability to govern and standardize AI patterns, including evaluation, observability, and performance optimization
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Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
501-1,000 employees