X's moonshot for the global supply chain is looking to reduce waste, fragility, and inefficiency by applying AI. The role aims to bridge cutting-edge AI research with real-world enterprise applications to revolutionize the global supply chain.
Requirements
- Proficiency in Python development, with experience in the latest Python toolchains and frameworks, including developing for various platforms (e.g., full-stack web applications, backend services, data pipelines)
- Experience integrating AI into enterprise software environments, including Large Language Models (LLMs), Foundation Models, multi-agent system architectures and their orchestration agentic behaviors, tool use, and reasoning capabilities.
- 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 and Foundation Models, agentic behaviors, tool use, and reasoning capabilities
- Experience integrating software with complex enterprise legacy systems, including ERP integration (e.g., SAP, Oracle)
- 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)
Responsibilities
- Develop and deliver high-quality, production-grade AI enterprise software, from ideation and architectural design to development, testing, deployment, and ongoing maintenance in complex enterprise environments
- Help drive and execute key decisions on software architecture and features
- Enhance AI reasoning by innovating on how Foundation Models are utilized, improving internal workflows, and developing/integrating specialized tools
- Explore, apply, and innovate state-of-the-art LLM and machine learning techniques
- Lead and mentor technical initiatives: Guide project execution, provide technical leadership, and cultivate a strong, high-performing team
- Ensure responsible AI development: Implement robust safety principles, including sandboxing and traceability of self-modifications, to mitigate risks and ensure alignment with business objectives and ethical guidelines
- Develop experiences that inspire confidence, delight and resonate with end users, and encourage adoption and trust
Other
- MS/PhD degree or equivalent practical experience in machine learning, computer science, or a related quantitative field
- 7+ years of professional experience designing, developing, maintaining, and releasing production-grade enterprise/business software
- Proven experience in a leadership, mentorship, or lead engineer role for small technical teams, with a track record of owning outcomes end-to-end and getting the job done.
- 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
- Ability to thrive and execute quickly in an environment of change and uncertainty
