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Senior Full-Stack Engineer, Applied AI
Full-stack EngineerSoftware EngineerFull TimeRemoteTeam 201-500Since 2017H1B No SponsorCompany SiteLinkedIn
Location
United States
Posted
114 days ago
Salary
$170K - $190K / year
Bachelor Degree4 yrs expEnglishAWSBig QueryJava ScriptNext.jsNode.jsPythonReactType Script
Job Description
• Design and build scalable AI workflow systems — including orchestration runtimes, SDKs, and observability pipelines that power real-time, intelligent experiences.
• Develop end-to-end features using TypeScript (Cloudflare Workers, React/Next.js) and Python (Databricks, evaluation, data processing).
• Integrate and evaluate large language models (LLMs) and other ML systems (OpenAI, Anthropic, Vertex, Databricks) via a unified AI Gateway.
• Build tool connectors and APIs for our internal domains — EHR, Pharmacy, Payments, Orders, Care — enabling safe and automated cross-system workflows.
• Develop evaluation and feedback systems that measure quality, grounding, latency, and safety of AI-powered flows.
• Partner closely with AI, Product, and Infra teams to design, prototype, and iterate quickly — turning research into production capabilities.
• Contribute to shared TypeScript and Python SDKs that standardize event schemas, tool contracts, and developer experience across Applied AI.
• Ensure everything you build meets security-by-design and privacy-first principles, supporting HIPAA and compliance requirements.
• Foster a build → measure → learn culture by testing fast, gathering feedback, and continuously improving the system.
Job Requirements
- 4+ years of professional full-stack experience, spanning backend APIs, frontend apps, infra, and data systems.
- Proficient in TypeScript (Node.js, React) and Python (data pipelines, ML evaluation, orchestration).
- Familiarity with LLM- or ML-based systems, including prompt orchestration, evaluation harnesses, or RAG pipelines.
- Experience with workflow orchestration tools
- Understanding of system design for AI workloads — including state management, retries, idempotency, and performance optimization.
- Experience with data/ML infrastructure (Databricks, AWS, vector stores, or BigQuery).
- A bias toward action and iteration — you build fast, validate ideas early, and improve based on results.
- Collaborative mindset, with strong communication skills.
- Awareness of AI lifecycle management — from experimentation and evaluation to safety and deployment.
Benefits
- Competitive salary & equity compensation for full-time roles
- Unlimited PTO, company holidays, and quarterly mental health days
- Comprehensive health benefits including medical, dental & vision, and parental leave
- Employee Stock Purchase Program (ESPP)
- 401k benefits with employer matching contribution
- Offsite team retreats
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