Role overview
We are seeking a
Senior AI/ML Platform Engineer
to join our team as a subcontractor supporting a high-impact government initiative. This role is foundational to our Generative AI strategy, focusing on the infrastructure that powers advanced model serving and data retrieval at scale.
This position offers a
one-year base period
with significant long-term potential. Upon a successful contract recompete, this role includes
up to five additional one-year option periods
, providing a rare blend of contract flexibility and long-term project stability.
What you'll work on
- GenAI Platform Enablement: Architect and maintain the AI Gateway and Model Serving layers to provide seamless, secure access to large language models.
- RAG Infrastructure: Design and optimize Retrieval-Augmented Generation (RAG) pipelines, including the management and scaling of Vector Databases .
- Data Engineering & Optimization: Drive high-performance data processing by leading Spark optimization efforts within a Databricks environment.
- Platform Reliability: Provide robust API endpoint support and develop platform tools that streamline the machine learning lifecycle.
- Cloud Architecture: Manage and scale complex AI/ML workloads natively within AWS .
What we're looking for
- Experience: 5+ years of professional experience in Platform Engineering, ML Ops, or Data Engineering.
- Cloud & Data Stack: Deep, hands-on proficiency with AWS and Databricks .
- Core Skills: Proven track record with Apache Spark (optimization and scaling) and building/supporting production-grade APIs .
- AI Specialization: Experience with Vector Databases , model deployment, and Generative AI infrastructure.
- Citizenship: Due to the nature of the government contract, U.S. Citizenship is required .
Tags & focus areas
Used for matching and alerts on DevFound Fulltime Remote Ai Mlops Data Engineer Generative Ai