Summary
Engineer 2 on the AI Enablement team will build and evolve infrastructure and platform capabilities to enable safe and effective use of Generative AI. The role involves designing and developing AI driven tools and scalable systems, collaborating with cross functional partners, and contributing to technical strategy and platform reliability in a hybrid work environment based in Seattle.
Responsibilities
- Design and develop AI driven tools and platform capabilities to improve developer productivity
- Design interactions between modules and integrate systems with services and cloud components
- Build and maintain scalable infrastructure using Kubernetes and AWS
- Participate in on call rotations and use debugging tools to resolve incidents
- Collaborate with product managers, data scientists, and engineers to gather requirements and deliver solutions
- Mentor other engineers and help improve team processes
- Participate in design reviews and contribute constructive feedback
- Write clear, tested, maintainable code and maintain documentation
Requirements
- 2+ years of professional software engineering experience
- Bachelor's or Master's degree in Computer Science or related field
- Proficiency in Python and ability to write clean maintainable code
- Hands on experience with Kubernetes for container orchestration
- Experience deploying applications to AWS and working with cloud infrastructure tools
- Strong understanding of AI concepts and familiarity with frameworks like Microsoft AutoGen or similar
- Strong analytical and debugging skills with attention to detail
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