provectus - Senior Generalist Engineer - Healthcare AI Platform (US, Remote)
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
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
Benefits
• 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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