Senior Software Engineer, Enterprise AI

Instacart’s Enterprise AI team builds intelligent systems and capabilities for the company. The Senior Software Engineer will develop and operate scalable AI-powered software, collaborating across engineering, product, data science, and partner teams to deliver reliable products and platforms.

Responsibilities:

• Design, develop, test, and operate scalable software systems that power Enterprise AI products and capabilities
• Translate ambiguous business and technical problems into clear engineering solutions, making thoughtful tradeoffs across quality, speed, reliability, and long-term maintainability
• Collaborate with product managers, data scientists, machine learning engineers, and partner teams to deliver AI-enabled experiences that address meaningful business needs
• Own projects through the full software development lifecycle, from technical design and implementation through launch, monitoring, and continuous improvement
• Contribute to engineering excellence through code reviews, design discussions, automated testing, observability, documentation, and operational best practices
• Help shape the technical direction of the Enterprise AI team by identifying opportunities, evaluating new approaches, and sharing knowledge with teammates and cross-functional partners

Requirements:

• Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience
• At least five years of professional software engineering experience building and operating production systems
• Proficiency in at least one modern programming language, such as Python, Java, Go, or C++
• Experience designing, implementing, testing, and troubleshooting distributed or highly scalable software systems
• Experience collaborating with cross-functional partners to define requirements and deliver software from concept through production
• Demonstrated ability to communicate technical decisions clearly, participate in constructive code and design reviews, and take ownership of complex projects
• Experience building AI- or machine learning-enabled products, platforms, or developer tools
• Experience with large language models, retrieval-augmented generation, intelligent automation, model serving, or related Enterprise AI technologies
• Experience with cloud infrastructure, data platforms, APIs, distributed systems, and production observability
• Experience improving the reliability, performance, security, or cost efficiency of software systems at scale
• Ability to lead technical projects, mentor engineers, and influence decisions across organizational boundaries
• Experience working effectively in a fast-changing environment where priorities, requirements, and technical approaches evolve over time