GameChanger · Posted 3w ago
Senior AI Engineer (AI Enablement)
Job relayed by Stapply Data, its source: you apply there.
- Location
- 🇺🇸 United States
- Contract
- Full-time
- Role
- ML engineering
- Source
- Stapply Data
Stack
- LLM
The posting
Join GameChanger, a company dedicated to transforming software development through AI. As a Senior AI Engineer, you will build AI-powered developer tools, workflows, and shared capabilities to help our engineering teams work more efficiently and confidently. You will work directly with engineering teams to understand their challenges, identify high-impact opportunities, and take solutions from experimentation to production rollout and ongoing improvement. This is a remote position with unlimited vacation, health insurance, a 401K plan, and other perks.
- Identifying high-impact opportunities to improve software development with AI, partnering with engineering teams to understand their workflows and shape practical solutions. - Independently designing, building, deploying, and operating production-grade AI tooling and agentic workflows, owning projects from discovery and technical design through rollout and iteration. - Developing AI-assisted engineering workflows, including code review, testing and validation, issue and crash triage, and development automation.
- This role is ideal for a hands-on engineer with production AI experience, strong backend and full-stack fundamentals, and a desire to multiply their impact by enabling others - You’ll bring technical judgment, curiosity, and initiative to a small team with an evolving roadmap and meaningful ownership. You will report to the Senior Engineering Manager, AI Enablement - Communicate clearly and work effectively across teams, translating user needs into technical solutions and helping others adopt new tools and practices. Experience in developer tooling, developer experience, or platform enablement is a plus - Can measure the quality and impact of AI systems through evaluations, observability, usage, feedback, and productivity outcomes. You’re comfortable learning across technology stacks and partnering with web and mobile engineers; direct iOS or Android experience is a plus - Bring practical depth in LLMs, tool use, agentic workflows, retrieval, and evaluations, along with experience incorporating AI into your own software development workflow - Can turn ambiguous problems into useful solutions: you identify opportunities, make sound technical tradeoffs, and drive work independently from concept through adoption - Have personally built, deployed, and supported AI-powered systems or agentic workflows used by teams in a professional environment, with experience improving them after launch - Have 5+ years of software engineering experience, with strong backend and full-stack fundamentals and experience designing and operating complex production systems