Senior AI Engineer

UJET

Senior AI Engineer developing the next generation of AI products for UJET. A role demanding deep practical AI understanding, moving fluidly across tech stacks.

Posted 4/13/2026full-timeRemote • California • 🇺🇸 United StatesSenior💰 $180,000 - $190,000 per yearWebsite

Tech Stack

Tools & technologies

AWSDistributed SystemsGoogle Cloud PlatformPythonSQLTypeScript

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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

Comp & perks

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

ATS Keywords

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Hard Skills & Tools

PythonTypeScriptAPIsAI workflowsdata ingestiondata parsingdata analysisSQLdistributed systemsAI applications

Soft Skills

product instinctsproblem-solvingmentoringcollaborationadaptabilitycommunicationevaluationmonitoringloggingalerting