Software Engineer, platform (Full Stack - AI Native)
talentlyPhoenix (AZ)
$200,000 - $275,000/year
Apply (opens in a new tab)Software Engineer, platform (Full Stack - AI Native)
Posted today
talentlyPhoenix (AZ)
SENIORITY
Lead
SALARY
$200,000 - $275,000/year
About the role
*hiring on behalf of our client
Title:
Software Engineer, platform (Full Stack - AI Native) Time: Full-Time Location: Remote (United States or Canada)
Compensation: $200,000 - $275,000/year USD + Competitive EquityThe Company
Our client is a well-funded Series A, AI company building engineering superintelligence for the physical world. Having raised $73M in funding, they are developing an autonomous AI engineer agent designed to join existing engineering teams and use complex engineering tools to design physical systems. They work with major industrial enterprises across sectors such as aerospace, automotive, and HVAC. Operating with a lean, flat team of roughly 25 people, they foster a fast-paced, high-ownership startup culture focused on rapid iteration and zero-code, agent-driven software development.
Role Overview:
Our client is seeking a backend-leaning Senior Full Stack Software Engineer to help develop their internal AI factory and build core product features for their flagship AI engineering platform. In this role, you will push the boundaries of AI-assisted software engineering by creating the systems, infrastructure, and workflows that allow AI agents to take on increasingly complex engineering tasks. You will work directly alongside forward deployed engineers, AI researchers, fellow software engineers, and the founders to prototype, test, and ship end-to-end product concepts with minimal handholding.
Key Responsibilities:
- Build and scale the core product platform shipped to enterprise industrial customers
- Design and deliver end-to-end product features spanning system architecture, back end, front end, and reliability
- Develop internal developer tooling, infrastructure, and workflows to orchestrate AI coding agents and automate engineering tasks
- Support front-end UI development to relieve production bottlenecks while driving long-term back-end and infrastructure initiatives
- Collaborate closely with AI researchers, forward deployed engineers, and founders to rapidly prototype, test, and iterate on new product concepts
- Ship continuously in a fast-paced startup environment, responding to customer feedback and refining the platform through rapid iteration
Qualifications:
- 3 to 10 years of experience as a full-stack software engineer at early-stage startups
- AI-native engineering mindset with proven experience building workflows and automation around coding agents (beyond basic usage of tools like Cursor or Claude Code)
- Demonstrated track record of designing and building technically complex products from 0 to 1 with minimal supervision
- Strong back-end and infrastructure engineering skills paired with solid mid-level or higher front-end development capabilities
- Experience building internal developer tooling, agentic harnesses, or workflows that orchestrate AI agents
- Proficiency in Python back-end development, distributed systems, and reliability engineering
- High ownership, adaptability to shifting priorities, and strong alignment with building technology for physical systems and simulation
- Must be authorized to work in the United States or Canada without visa sponsorship
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