Senior AI Software Engineer

Who you are

• The ideal candidate possesses 7+ years of architecting and developing full-stack applications, strong experience building high-quality user experiences and scalable distributed systems, and 5+ years working with technologies such as Python, React, AWS, and modern data platforms
• They should have a strong understanding of application architecture, APIs, observability, messaging and workflow patterns, and how infrastructure decisions impact the systems they build
• They should also have hands-on experience building LLM-powered products and Agent Experiences, including designing Agent Loops, integrating MCP, and developing custom tools
• The ideal candidate treats AI coding tools as core infrastructure for how they work — not a novelty. You've shipped full-stack applications, you're comfortable navigating ambiguity, and you are customer-obsessed in your approach to improving software
• You have 6+ years of hands-on software development experience with a proven track record of shipping customer-facing applications — and the impact to show for it
• You have hands-on experience building production AI systems and a strong understanding of how to optimize AI agents for quality, reliability, latency, and cost
• You are stack-flexible: comfortable working across TypeScript, Python, React, APIs, distributed systems, and cloud infrastructure. You learn new tools quickly and don’t let unfamiliar technology slow you down
• You have strong full stack engineering fundamentals, including experience building high-quality user experiences, scalable backend systems, observable services, and reliable workflows
• You have an AI-accelerated workflow — you actively use AI coding tools to improve output and ship faster, not as an experiment, but as part of your day-to-day engineering practice
• You are passionate about technology and continuously stay current with emerging trends, tools, and engineering practices that improve product quality, team velocity, and developer effectiveness
• You care deeply about craftsmanship and user experience, with a passion for delivering polished, high-quality solutions that delight users
• You are a strong communicator who can work directly with non-technical stakeholders, translate business needs into technical solutions, and clearly explain engineering tradeoffs
• You are responsive and reliable — you take ownership of production systems and communicate proactively, especially under pressure
• You hold a Bachelor’s or Master’s degree in Computer Science, STEM, or a related technical discipline

What the job involves

• We’re looking for a seasoned Senior Software Engineer, to help develop our rapidly growing platform for our Corporate organization. This team builds AI-enabled products and analytics experiences used by major US retailers and brands to better understand their shoppers, market share, and competitive positioning through our analytics portal and Insight Agent offerings
• You'll be responsible for production AI Agent systems that our customers and internal teams depend on daily. That means being responsive, reliable, and an excellent communicator — both when things are going well and especially when they're not
• Own features and systems end-to-end for our Corporate Insight Agent — from requirements gathering and solution design through implementation, deployment, and iteration
• Serve as a subject matter expert across the stack, reporting to the Head of Corporate Applications, who will provide hands-on mentorship in AI-native development, systems design, front-end development, and cloud infrastructure
• Collaborate closely with Corporate Product Management and business stakeholders to identify opportunities, shape requirements, and revamp critical business processes
• Drive initiatives proactively — you won’t be waiting for fully written specs; you’ll help define what gets built, why it matters, and how to execute effectively
• Balance rapid prototyping and long-term engineering rigor, knowing when to build lightweight POCs to validate market fit versus scalable, maintainable production systems
• Iterate closely with users and stakeholders, incorporating feedback quickly while maintaining a strong engineering bar for quality, reliability, and observability
• Leverage AI tools like Claude Code, Cursor, and Codex to improve productivity and ship trustworthy solutions faster through strong engineering practices, code quality, and documentation

Benefits

• Flexible work hours
• Flexible vacation
• Generous 401K match
• Parental leave
• Team events
• Wellness budget
• Learning reimbursement