Providing technical leadership for the AI Platform team, guiding design and implementation of shared AI services and components.
Owning the technical delivery of platform initiatives, ensuring solutions meet requirements for scalability, reliability, security, and maintainability.
Designing, developing, and maintaining backend services and APIs, primarily in Python, with some Java.
Translating architectural guidance into concrete, well-structured implementations and iterative delivery plans.
Partnering with product managers, research, and downstream engineering teams to turn AI prototypes into production-ready platform capabilities.
Establishing and enforcing engineering best practices across the team, including testing, CI/CD, observability, and operational readiness.
Reviewing designs and code, providing clear, constructive feedback and maintaining a high-quality bar.
Mentoring and supporting engineers through pairing, code reviews, and technical coaching.
Operating within a Kubernetes (EKS) environment, contributing to deployment, scaling, and runtime stability of AI services.
Proactively identifying technical risks, dependencies, and bottlenecks, and drive them to resolution.
Contributing to cross-team alignment, ensuring the AI Platform integrates cleanly with broader platform and product ecosystems.
Requirements
Extensive professional software engineering experience
Demonstrated experience acting as a technical lead on complex backend or platform systems
Proficiency in Python, with working knowledge of Java
Solid backend engineering fundamentals: API design, data modelling, concurrency, and distributed systems
Experience building or integrating AI/LLM-powered systems, and familiarity with modern AI frameworks (e.g., LangChain, LangGraph)
Hands-on experience with Kubernetes (EKS) and cloud-native application development
Proven ability to balance hands-on development with technical leadership and coordination
Experience working in Agile or Kanban teams, collaborating across functions