Senior AI Software Engineer, UJET

• 3-5+ years of professional software engineering experience, with strong hands-on experience building production systems
• Strong experience as a generalist engineer who can move fluidly between backend systems, frontend, AI services, APIs, and product development
• Excellent programming skills in Python and TypeScript
• Experience shipping AI agents, LLM-powered applications, or other production AI systems, including prompt and tool orchestration, evaluation, and cost/reliability tradeoffs
• Strong product instincts and comfort working in ambiguous environments where the right solution is not obvious at the start
• Experience building and operating systems on AWS/GCP in production
• Comfort working with large, messy datasets and building pipelines that turn unstructured inputs into dependable product functionality
• Strong SQL and data systems fundamentals

Desirable

• We’re looking for a Senior AI Software Engineer to help build the next generation of AI products across UJET's Spiral and AXO.
• This is a high-impact role for someone who thrives in ambiguity, enjoys moving across the stack, and wants to turn cutting-edge model capabilities into real-world product experiences
• You’ll work across backend systems, AI services, product features, APIs, and infrastructure
• One day you might be building agent workflows in Python, the next shipping customer-facing features in TypeScript, improving evals and reliability, or designing systems that process large-scale conversational data securely and efficiently
• This role is ideal for an engineer who is deeply practical about AI: someone who uses AI-assisted development naturally, understands how to build with and around LLMs, and cares about reliability, performance, and user impact as much as model quality
• We value curiosity highly
• The best people in this role are excited to dig into messy problems, ask good questions, and iterate until the system is measurably better
• Build and own product and platform capabilities across Spiral and AXO, from early prototypes to production systems
• Design and implement AI-powered workflows, agent capabilities, and backend services that are scalable, secure, and reliable
• Develop high-performance APIs, async workers, and application logic in Python and TypeScript
• Ship user-facing product features and internal tools that make advanced AI systems useful and intuitive for customers
• Architect and improve data ingestion, parsing, and analysis pipelines that transform raw customer interaction data into structured, actionable insights
• Partner across engineering, product, and design to translate ambiguous product ideas into robust technical systems
• Own infrastructure and deployment patterns on AWS/GCP, with a focus on reproducibility, observability, security, and cost efficiency
• Improve system quality through evaluation, monitoring, logging, alerting, and operational best practices
• Help define engineering standards, review code, and mentor teammates working on distributed systems and AI applications