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

Provectus

Key Facts

Remote From: 
United States
Full time
Senior (5-10 years)
English

Other Skills

  • •
    Decision Making
  • •
    Consulting
  • •
    Decision Making
  • •
    Communication
  • •
    Problem Solving

Roles & Responsibilities

  • 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)

Requirements:

  • 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
  • Establish and maintain engineering best practices for the platform

Job description

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
    •
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