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1mo ago

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

Provectus Remote 🇺🇸 Remote

Remote

1mo ago Closed

Full time Backend Developer Python Senior

This position is no longer accepting applications (closed Jun 28, 2026).

Job Description

Provectus is seeking a senior generalist to own and operate a production AI platform within a regulated enterprise setting. This hands-on role spans backend software, data engineering, DevOps, and cloud infrastructure, requiring autonomous ownership and end-to-end accountability. The position is remote and demands at least six years of practical experience building and sustaining production-grade systems.

Responsibilities

Sustain, enhance, and extend a production AI platform already deployed in production
Handle a mix of backend development, data engineering, DevOps, and infrastructure work
Translate business and product requirements into technical decisions independently
Collaborate directly with internal stakeholders and the teams that consume the platform
Define and uphold engineering best practices for the platform
Serve as the primary line of defense to identify and resolve technical issues

Requirements

6+ years of hands-on engineering experience with production systems
Broad, generalist mindset comfortable across backend development, data pipelines, and cloud infrastructure
Robust production Python skills and solid software engineering fundamentals
Hands-on experience with AWS services such as S3, Lambda, ECS, SQS, Bedrock, RDS or equivalents
Experience with analytical data pipelines (SQL, Spark) and data processing at scale
Proficiency with Infrastructure as Code tools (Terraform, CDK, or CloudFormation)
Experience with AI-assisted development workflows (Claude Code or alternatives), not just autocomplete
Proven track record maintaining and scaling production systems, not only building POCs
Autonomous working style, capable of determining next steps without explicit direction
US-based candidate is required due to project compliance and data security constraints

Technologies

Python
AWS: S3, Lambda, ECS, SQS, Bedrock, RDS (or equivalents)
SQL
Spark
Infrastructure as Code: Terraform, CDK, CloudFormation
Claude Code or similar AI-assisted development tooling

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 with this role extending beyond the initial project

About the role

This position targets a senior, hands-on engineer who will own and maintain a sophisticated AI platform already in production. It is not a greenfield effort. You will work on a live system used in a regulated enterprise environment, handling real-scale complexity. You will operate autonomously, make technical decisions independently, and serve as the primary technical owner of the solution.

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

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