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UJET logo
UJET

Enabling the development of electric vehicles of the future. From #materialscience to ultimate #emobility products.

Senior AI Engineer

AI EngineerMachine Learning EngineerFull TimeRemoteSeniorTeam 51-200H1B SponsorCompany SiteLinkedIn

Location

California

Posted

46 days ago

Salary

$180K - $190K / year

Seniority

Senior

Job Description

Senior AI Engineer

UJET

• 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.

Job Requirements

  • 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.

Benefits

  • Medical
  • Dental
  • Vision
  • 401(k) plan
  • Commuter benefits
  • professional development opportunities

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