Note: The job is a remote job and is open to candidates in USA. YipitData is hiring a Senior Software Engineer, AI to build and operate AI-enabled products and analytics experiences for its Corporate organization. The role owns the Corporate Insight Agent end to end and works with product and business stakeholders to deliver reliable, customer-focused AI systems.
Responsibilities
- 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
Skills
- 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 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 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
- Please note that for this position, we are not able to consider candidates who currently or in the future will require visa sponsorship
Benefits
- Flexible work hours
- Flexible vacation
- A generous 401K match
- Parental leave
- Team events
- Wellness budget
- Learning reimbursement
- Growth and skill-development opportunities in an environment focused on ownership, respect, and trust
- Fully remote work within the United States
Company Overview