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 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.