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 Python skills and solid software engineering fundamentals • Hands-on experience with AWS (Lambda, S3, SageMaker, Bedrock, ECR, or similar) • Experience with data engineering, pipelines, transformations, storage, and processing at scale • 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 • 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 • 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.
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