Design, develop, and maintain generative AI services and reusable components using mostly Python and a little bit of Java.
Define and promote best practices in engineering, including scalability, observability, testing, and CI/CD.
Contribute to system designs spanning multiple services and modules, aligning with architectural best practices.
Collaborate with product, platform, and research teams to translate AI prototypes into production-ready capabilities.
Work within a Kubernetes (EKS) environment to deploy scalable, containerized applications.
Contribute to the resolution of complex technical challenges across distributed systems.
Mentor less-senior developers on engineering principles, GenAI patterns, and platform development.
Participate in code reviews, architecture sessions, and cross-team initiatives to ensure quality and maintainability.
Stay informed of the latest developments in generative AI and advocate for responsible integration into product ecosystems.

5+ years of software engineering experience.
Solid understanding of software development methodologies and data modeling principles.
Deep expertise in Python and Java.
Strong proficiency in backend development and familiarity with modern AI/LLM tools and frameworks (e.g., LangChain, LangGraph).
Strong experience with Kubernetes (EKS) and cloud-native architectures.
Proven track record building scalable backend systems and APIs.
Experience mentoring engineers and contributing to architectural decisions.
Ability to work collaboratively across functions in an Agile or Kanban environment.

Senior Software Engineer – AI Engineering

Key skills