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

Provectus is a consulting & professional services firm with focus on AI/ML-based solutions. Provectus is AWS Premier Partner helping enterprise clients across Healthcare & Life Sciences, Finance, Retail, and other industries adopt and scale AI solutions. We build custom, production-grade AI platforms, not off-the-shelf products.

### About the Role:

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.

### What You'll Do:

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

### What You'll Bring:

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

### Nice to Have:

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

### What We Offer:

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