Senior Software Engineer (AI Platform)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior Software Engineer (AI Platform): Building the reliable, scalable backend platform that powers adaptive AI systems in healthcare with an accent on cloud-native infrastructure and production-grade backend services. Focus on designing secure AI-enabled workflows, implementing agentic AI patterns, and ensuring high operational reliability for healthcare intelligence at scale.
Location: Hybrid in Seattle, WA (Must be authorized to work in the US)
Salary: $155,000 – $190,000
Company
is a health provider-led data platform dedicated to saving lives with data by empowering researchers and clinicians.
What you will do
- Engineer and operate cloud-native platforms using Kubernetes, Docker, and Terraform.
- Design and own production backend services using async-first Python and modern tooling like uv and ruff.
- Develop secure AI-enabled workflows and integrate LLM APIs such as OpenAI and Azure OpenAI.
- Implement agentic AI patterns using frameworks like LangGraph, LangChain, or MCP.
- Collaborate with ML, application, and product engineers to transform concepts into scalable solutions.
- Mentor peers and drive production ownership from design through to deployment and debugging.
Requirements
- 5+ years of software engineering experience with ownership of platform or backend infrastructure.
- Strong proficiency in Python, including async programming, testing, and maintainable service design.
- Hands-on experience with Kubernetes, CI/CD pipelines, and Infrastructure-as-Code (Terraform/Terragrunt).
- Experience with security-conscious engineering, including CVE triage, OWASP practices, and token hygiene.
- Must be authorized to work in the United States (no visa sponsorship available).
- B.S. or M.S. in Computer Science, Engineering, Artificial Intelligence, or equivalent experience.
Nice to have
- Experience with AKS and Azure Pipelines.
- Familiarity with agentic AI frameworks (LangGraph, LangChain) or interoperability protocols.
- Experience with artifact registry management (JFrog, Docker/PyPI proxying).
Culture & Benefits
- Comprehensive medical, dental, and vision insurance plans.
- 401K retirement plan.
- Work/life autonomy via flexible work hours and flexible paid time off.
- Generous parental leave.
- Professional development and training opportunities for continuous learning.
- Regular virtual and in-person team activities.
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