Senior Generalist (Python, Data) Engineer - Healthcare AI Platform (US, Remote)
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AI Summary
Own and maintain a production AI platform in a regulated healthcare environment. Handle a combination of backend development, data engineering, and cloud infrastructure tasks to improve and extend the system.
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We are looking for a senior hands-on engineer to own and maintain a sophisticated AI platform already in production. This is not a greenfield project. You will be working on a live system used in a regulated enterprise environment, handling real scale and real complexity. You will operate autonomously, make technical decisions independently, and be the primary technical owner of the solution.
- Maintain, improve, and extend an AI platform already running in production
- Handle a mix of backend development, data engineering, DevOps, and infrastructure work
- Translate business and product requirements into technical decisions independently
- Work directly with internal stakeholders and consumer teams
- Establish and maintain engineering best practices for the platform
- Identify and resolve technical issues as the first line of defense
- 6+ years of hands-on engineering experience with production systems
- Generalist mindset, comfortable across backend development, data pipelines, and cloud infrastructure
- Strong production Python skills and solid software engineering fundamentals
- Hands-on experience with AWS (S3, Lambda, ECS, SQS, Bedrock, RDS or similar)
- Experience with analytical data pipelines (SQL, Spark) and data processing at scale
- Experience with Infrastructure as Code (Terraform, CDK, or CloudFormation)
- Experience with AI-assisted development workflows (Claude Code or alternatives), not just autocomplete
- Experience maintaining and scaling systems in production, not just building POCs
- Autonomous working style, you don't need a project manager to tell you what to do next
- US-based, required due to project compliance and data security constraints
- Experience with AI/ML systems or LLM-based applications
- Container-based deployments and Lambda optimization
- DevOps or MLOps background
- Prior consulting or professional services experience
- Full ownership of a production AI platform
- Remote-first, fully flexible work environment
- Annual performance bonus
- Health, dental, vision, 401(k) with company match, unlimited PTO
- Long-term engagement; this role extends beyond the initial project
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