Axion
Axion
Axion izstrādā mākslīgā intelekta darbinātu produktu kvalitātes platformu sarežģītas aparatūras ražotājiem. Tās uzņēmumiem paredzētais SaaS risinājums apvieno klientu, servisa, lauka darbu un telemātikas datus ar operatīvajām darba plūsmām un ekspertu zināšanām. Tas palīdz B2B komandām noteikt pamatcēloņus, izmeklēt problēmas un uzraudzīt koriģējošos pasākumus. Platforma ir izstrādāta, lai palīdzētu ražotājiem agrāk novērst ar produktiem un darbu uz vietas saistītas problēmas, uzlabot risināšanas procesus un samazināt ar garantijām saistītās izmaksas. Axion apkalpo organizācijas ražošanas, autobūves un aizsardzības nozarē.

Senior Forward Deployed Engineer

Build and deploy AI-powered quality workflows for manufacturers. Work with customers to deliver dependable integrations, applications, and production software.

Apraksts

  • Identify valuable use cases with customer business and technical teams
  • Shape broad requests into defined scope, acceptance criteria, and workable delivery plans
  • Assess whether existing tools meet a need, new software is required, or a request should be refined or declined
  • Build data integrations, business logic, APIs, applications, and AI-enabled workflows
  • Ship software in iterations with tests, clear interfaces, access controls, and an agreed deployment plan
  • Check solution outputs against source data and business rules
  • Assess model performance when a solution uses AI
  • Confirm accuracy, usability, and business value with users
  • Monitor releases, fix issues, document systems, and define ongoing support
  • Coordinate with account teams to support customer adoption and uncover further use cases
  • Work with Product and Engineering to find patterns that can be reused
  • Help develop engineering practices, delivery standards, and team working relationships
  • Write and review code, handle complex data, design integrations and applications, and take responsibility for software after release
  • Travel 25–50%

Prasības

  • Strong software engineering skills and a record of personally delivering and maintaining production software
  • Can work independently across backend and application logic, data models, APIs, testing, and debugging
  • Able to assess reliability, permissions, failure scenarios, and tradeoffs between an early release and long-term maintainability
  • Experience using Python and SQL
  • Full-stack development experience with TypeScript and React or similar tools
  • Experience integrating enterprise data and APIs
  • Experience applying AI or building agent workflows, including rigorous evaluation
  • For the software engineering path, experience in manufacturing, quality, reliability, supply chain, or service operations is especially important
  • Able to understand how people work and turn unclear problems into useful solutions
  • Communicates clearly with technical and nontechnical colleagues
  • Can work independently within a small team
  • Able to work from the New York City or San Francisco office three days per week
  • Authorized to work in the United States; disclose any need for visa sponsorship

Priekšrocības

  • Equity
  • Generous paid time off
  • Benefits package
  • Opportunity to apply advanced AI technology to real manufacturing challenges
  • Collaborative, purpose-driven team with supportive leadership

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