Senior Engineering Consultant | GenAI, Data & Cloud (US-based)

Provectus

17d•Remote

About The Position

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.

Requirements

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 Haves

Experience with AI/ML systems or LLM-based applications
DevOps or MLOps background
Prior consulting or professional services experience

Responsibilities

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