Staff Software Engineer, Early Stage Supply Chain Project

About the role

You’ll play a pivotal full-stack software engineering role, designing, building, and deploying cutting-edge AI systems. This role requires a deep passion for problem-solving and experimentation, moving across the full range of applied software engineering from initial prototyping to building full-scale, robust solutions. While you will primarily focus on core product development, you will also serve as a critical bridge between cutting-edge AI research and real-world enterprise applications.

What you should have

• BS or equivalent practical experience in computer science, applied math, or a related field
• 6+ years of professional experience designing, developing, maintaining, and releasing production-grade enterprise/business software
• Exceptional breadth and depth in full-stack software engineering, including user interface development and working with RDBMS and NoSQL databases
• Strong proficiency in Python development, with extensive experience in the latest Python toolchains and frameworks, including developing for various platforms (e.g., full-stack web applications, backend services, data pipelines) and LLM Python toolset (Pytorch, Langchain)
• Experience with collaborative software development workflows and platforms including GitHub, agile development/scrum, unit testing, CI/CD, and production operations
• Experience using LLMs to optimize software development processes and workflows
• Experience integrating AI into enterprise software environments including LLMs, RAG, and Foundation Models, with an understanding of agentic behaviors, tool use, and reasoning capabilities
• Experience with deploying and managing applications on major cloud platforms (e.g., Google Cloud Platform, AWS, Azure) and an understanding of underlying infrastructure primitives (e.g., Kubernetes, Terraform, Helm charts)
• Excellent written and verbal communication skills, adept at explaining complex technical concepts to both technical and non-technical audiences in a clear and concise manner
• Exceptional organization and planning skills
• Ability to think both strategically and tactically about driving complex initiatives to completion
• Ability to thrive and execute quickly in an environment of change and uncertainty

It'd be great if you also had these

• MS/PhD degree or equivalent practical experience in computer science, engineering or a related scientific or quantitative field
• Experience integrating software with complex enterprise legacy systems, including ERP integration (e.g., SAP, Oracle)
• Experience in startups or small-team environments
• Experience in a leadership, mentorship, or lead engineer role for small technical teams, with a track record of owning outcomes end-to-end