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Rivian

Makes electric pickups, SUVs and delivery vans

AI Product Engineer - Technology, Facilities

AI Application EngineeringUpdated on Nov 12
Full-timeAtlanta, GA, USA

About the Job

Requirements

  • At least 4 years in a technical role such as software development, product ownership, or technical program management, or similar.
  • A bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related technical field, or equivalent practical, hands-on experience in lieu of a degree.
  • Demonstrated experience building with AI-assisted coding tools such as Cursor, Codex, Claude Code, or equivalent.
  • Working knowledge of prompt engineering, AI agent design, and large language model application development.
  • Foundational knowledge of Agile methodologies, version control with Git, code reviews, and secure deployment pipelines.
  • Ability to produce functional, clean interfaces without a design team.
  • Ability to communicate with leadership in whiteboard sessions and with project teams in working sessions.
  • Ability to work independently in ambiguous environments without an established playbook.

Responsibilities

  • Build internal applications, AI agents, and workflow automations using large language model-assisted development tools such as Cursor, Gemini, Claude, and Glean to address Facilities pain points including manual reporting, data entry, schedule tracking, and cost reconciliation, focusing on measurable time and cost savings.
  • Set up no-code and low-code solutions that non-technical team members can maintain when speed and simplicity are more important than engineering complexity.
  • Connect Facilities data sources, including ACC, Procore, Kahua, FOS, and Databricks, through APIs to support intelligent workflows that unify siloed information.
  • Own the full software development lifecycle by applying product development rigor to AI-generated code; manage sprint cycles, define technical requirements in Jira, and oversee the end-to-end lifecycle of tools built.
  • Conduct code reviews on peer-built AI tools and enhance deployed solutions based on user feedback and evolving business needs.
  • Build working knowledge of Facilities operations, including how capital projects are planned, budgeted, tracked, and delivered, by shadowing project managers, construction teams, and operations staff to identify automation opportunities.
  • Understand the Facilities technology stack to identify where AI can reduce friction and costs.
  • Document solutions, create reusable templates, and contribute to internal playbooks and how-to guides.
  • Partner with Facilities stakeholders to understand workflows, quantify inefficiencies, and prioritize automations with the highest operational return on investment.
  • Translate operational needs into working prototypes and iterate based on user feedback until adoption is established.
  • Track and report the impact of deployed solutions, including hours saved, errors reduced, costs avoided, and scaling without new headcount.

Desired Qualifications

  • Familiarity with large-scale construction, real estate, or capital programs.
  • Experience with enterprise AI tools such as Glean or similar knowledge management platforms.
  • Exposure to Model Context Protocol frameworks and multi-agent architectures.
  • Prior experience shipping internal tools in a non-engineering business unit.
  • A track record of upskilling peers or running internal training on new technologies.

About the Company

Rivian

Makes electric pickups, SUVs and delivery vans

Rivian designs and builds electric pickup trucks, SUVs, and delivery vans, pairing off-road ability with electronics and software it develops itself. In 2021, its R1T became the first fully electric pickup truck on the US consumer market, ahead of larger rivals such as Ford and Tesla. It makes the R1T pickup, the R1S and R2 SUVs, and commercial vans in Normal, Illinois, and sells them directly online and in its own stores rather than through dealers. Its vehicles run on Rivian's own software, which gains features through updates sent over the internet, and most revenue comes from vehicle sales, with service and optional software adding more. Rivian was founded in 2009 and is based in Irvine, California.

Company size
10,001+
Company stage
IPO
Headquarters
Irvine, CA
Founded
2009

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