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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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