Senior Software Engineer | GenAI, Data & Cloud (US-based)

Provectus

USA Remote permanent

Posted: March 24, 2026

Required Skills

Job Description

Provectus is a GenAI consulting firm and 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 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

Nice to Have::
• Experience with AI/ML systems or LLM-based applications

• 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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