Job Responsibilities
- Develops complex and scalable frameworks using appropriate software design, including durable and reusable frameworks leveraged across teams and functions.
- Develops secure and high-quality production code, and reviews and debugs code written by others; engineers systems with clear failure modes, retry strategies, and robust operational behavior.
- Leads cross-functional teams on technological matters within domain of expertise while acting as the function’s go-to subject matter expert
- Contributes to the development of technical methods in specialized fields in line with the latest product development methodologies, including pragmatic AI engineering practices.
- Builds and maintains evaluation and quality mechanisms to detect regressions, measure specification/acceptance-criteria compliance, and surface behavior changes across model or dependency updates.
- Influences leaders and senior stakeholders across business, product, and technology teams
Qualifications
- Formal training or certification on software engineering concepts and 7+ years applied experience
- Hands-on practical experience delivering system design, application development, testing, and operational stability
- Proficient in one or more programming language(s) (e.g., Python and/or TypeScript; able to build CLI tooling, API integrations, and data pipelines).
- Experience applying expertise and new methods to determine solutions for complex technology problems in one or more technical disciplines (including designing multi-step AI workflows: sequential chains, parallel fan-out, conditional routing, and human-in-the-loop checkpoints).
- Knowledge of software application development and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence / applied LLM systems, machine learning, mobile, etc.).
- Experience with agent frameworks (e.g., LangChain, LlamaIndex, AutoGen, CrewAI, or homegrown) and clear opinions on their tradeoffs.
- Demonstrated experience building systems on top of LLM APIs (endpoint integration, streaming, tool/function calling, and context management).
- Ability to present and effectively communicate with Senior Leaders and Executives