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