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

3 weeks, 4 days ago
United States
Full-time
Senior
Backend Engineer
Software Development
Apache Spark AWS CloudFormation LLM MLOps Python SQL Terraform
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Provectus

Provectus

Provectus provides consulting services in artificial intelligence and machine learning, assisting businesses in integrating AI solutions to meet their unique objectives and enhance their operational capabilities across various industries.

Professional Services
251-1K
Founded 2010
View All Jobs 28

Description

  • Maintain, improve, and extend an AI platform already running in production.
  • Handle backend development, data engineering, DevOps, and infrastructure work across the platform.
  • Translate business and product requirements into technical decisions independently.
  • Work directly with internal stakeholders and consumer teams on platform needs and delivery.
  • Establish and maintain engineering best practices for the system.
  • Identify and resolve technical issues as the first line of defense.
  • Operate as the primary technical owner of the solution.
  • Support a live system with real scale and complexity in a regulated enterprise environment.

Requirements

  • 6+ years of hands-on engineering experience with production systems.
  • Strong production Python skills and solid software engineering fundamentals.
  • Hands-on experience with AWS services such as S3, Lambda, ECS, SQS, Bedrock, and RDS or similar.
  • Experience with analytical data pipelines, including SQL and Spark, and data processing at scale.
  • Experience with Infrastructure as Code tools such as Terraform, CDK, or CloudFormation.
  • Experience with AI-assisted development workflows, such as Claude Code or similar tools.
  • Experience maintaining and scaling systems in production, not just building POCs.
  • Autonomous working style with the ability to make decisions independently.
  • US-based, required for project compliance and data security constraints.
  • Experience with AI/ML systems or LLM-based applications (nice to have).
  • Container-based deployments and Lambda optimization experience (nice to have).
  • DevOps or MLOps background (nice to have).
  • Prior consulting or professional services experience (nice to have).

Benefits

  • Remote-first, fully flexible work environment.
  • Annual performance bonus.
  • Health, dental, and vision insurance.
  • 401(k) with company match.
  • Unlimited PTO.
  • Long-term engagement beyond the initial project.
  • Full ownership of a production AI platform.

Interested in this position?

Apply directly on the company website

Apply Now

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