9 часов назад
Staff AI Enablement Engineer (AI)
190 000 - 230 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff AI Enablement Engineer (AI): Building generative AI automations, agentic systems, and developer tooling across an engineering organization with an accent on production LLM systems, AI coding assistants, workflow modernization, and responsible adoption. Focus on designing specialized automation agents, measuring their impact, and moving rules-based workflows toward data-driven ML approaches.
Location: Remote within the United States; authorization to work in the U.S. is required.
Salary: $190,000–$230,000 per year
Company
is a technology-powered, in-network psychiatry practice improving access to mental healthcare and reducing administrative burden for clinicians.
What you will do
- Define and execute the engineering-wide roadmap for generative AI, agentic systems, and AI-assisted software development.
- Diagnose engineering workflows and translate pain points into a prioritized backlog of AI-enabled solutions.
- Design, build, operate, and expand specialized automation agents for engineering and operational workflows.
- Evaluate and pilot AI coding assistants and agentic developer tools, making adoption decisions based on evidence.
- Measure automation impact through time saved, quality improvements, and adoption, then iterate based on usage.
- Modernize rules-based and heuristic systems into data-driven, ML-informed approaches in collaboration with data and clinical stakeholders.
Requirements
- 8+ years of software engineering experience shipping production systems end to end.
- Hands-on experience with LLMs and agentic systems, including prompt engineering, context and tool design, evaluation, and orchestration.
- Production experience with AI coding assistants and agentic development tools, with a clear view of when they create value.
- Working knowledge of applied ML fundamentals, including features, evaluation, and model selection.
- Experience driving technical adoption without direct authority and communicating roadmaps, tradeoffs, and results to engineering leadership.
- Must be authorized to work in the United States.
Nice to have
- Experience in a staff or principal-level individual contributor role with cross-team or platform scope.
- Experience building AI enablement programs, developer-experience platforms, or AI governance frameworks.
- Healthcare, healthtech, or other regulated-industry experience.
- Familiarity with vector search, RAG, model evaluation frameworks, LLM observability, or conversational AI products.
Culture & Benefits
- Remote flexibility and work with a diverse, experienced, mission-driven mental healthcare team.
- Competitive compensation with medical, dental, and vision coverage effective on the first day.
- 401(k) with match, generous paid time off, paid holidays, and paid parental leave.
- Learning and development support through the Learning team.
- Focus on team well-being, inclusive collaboration, and meaningful impact on patients and clinicians.
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