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# AI Software Engineer

- **Company:** UJET, INC.
- **Location:** Los Angeles, CA, United States (Remote available)
- **Experience:** Experienced
- **Salary:** $150,000.0 - $165,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Business Logic, Code Review, Computer Programming, Data Systems, Distributed Systems, Python (Programming Language), Parsing, Standard Sql, Software Engineering, Systems Integration, TypeScript, Data Logging, Data Ingestion, Large Language Models, Backend, AI Platforms, Front End Software Development
- **Published:** June 14, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=ba7ffa89e8b13d7e

## About the Role

Do you have experience in TypeScript?, * 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.
 * A bias toward ownership, speed, and pragmatic execution.
 * Experience building AI-native products from 0 to 1.
 * Familiarity with conversational data, support platforms, CRM/CCaaS integrations, or customer experience tooling.
 * Experience with observability, evaluation frameworks, and production reliability for AI systems.

## Description

* 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.


## Related Videos

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