Senior Generalist (Python, Data) Engineer - Healthcare AI Platform (US, Remote)

Provectus is a company focused on AI solutions in healthcare, seeking a senior hands-on engineer to maintain a sophisticated AI platform. The role involves backend development, data engineering, and ensuring best practices in a regulated enterprise environment.

Responsibilities:

• 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

Requirements:

• 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