[Hiring] Staff Software Engineer, AI @YipitData

Role Description

We’re looking for a seasoned Staff 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.

• Possess 7+ years of architecting and developing full-stack applications.
• Strong experience building high-quality user experiences and scalable distributed systems.
• 5+ years working with technologies such as Python, React, AWS, and modern data platforms.
• Strong understanding of application architecture, APIs, observability, messaging and workflow patterns, and how infrastructure decisions impact the systems they build.
• Hands-on experience building LLM-powered products and Agent Experiences, including designing Agent Loops, integrating MCP, and developing custom tools.

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.

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.

This is a remote-friendly opportunity that can sit in NYC (where our headquarters is located), one of our office hubs, or anywhere else in the US. However, depending upon where the remote work is performed, income could be subject to New York State tax withholding.

Qualifications

• 6+ years of hands-on software development experience with a proven track record of shipping customer-facing applications.
• Hands-on experience building production AI systems and a strong understanding of how to optimize AI agents for quality, reliability, latency, and cost.
• Stack-flexible: comfortable working across TypeScript, Python, React, APIs, distributed systems, and cloud infrastructure.
• Strong full stack engineering fundamentals, including experience building high-quality user experiences, scalable backend systems, observable services, and reliable workflows.
• AI-accelerated workflow — actively use AI coding tools to improve output and ship faster.
• Passionate about technology and continuously stay current with emerging trends, tools, and engineering practices.
• Care deeply about craftsmanship and user experience, with a passion for delivering polished, high-quality solutions.
• Strong communicator who can work directly with non-technical stakeholders.
• Responsive and reliable — take ownership of production systems and communicate proactively.
• Bachelor’s or Master’s degree in Computer Science, STEM, or a related technical discipline.

Requirements

• 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.
• Collaborate closely with Corporate Product Management and business stakeholders to identify opportunities, shape requirements, and revamp critical business processes.
• Drive initiatives proactively — help define what gets built, why it matters, and how to execute effectively.
• Balance rapid prototyping and long-term engineering rigor.
• 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.

Benefits

• Flexible work hours and flexible vacation.
• Generous 401K match.
• Parental leave.
• Team events.
• Wellness budget.
• Learning reimbursement.
• Annual on-target earnings for this position is anticipated to be up to $180K ~ $200K.
• This role may be performed fully remotely within the United States.