Senior AI/ML Platform Engineer

tensile ai • United State
Remote
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AI Summary

Join tensile ai as a Senior AI/ML Platform Engineer to support a high-impact government initiative. This role is foundational to our Generative AI strategy, focusing on infrastructure that powers advanced model serving and data retrieval at scale. Key responsibilities include GenAI Platform Enablement, RAG Infrastructure, Data Engineering & Optimization, Platform Reliability, and Cloud Architecture.

Key Highlights
GenAI Platform Enablement
RAG Infrastructure
Data Engineering & Optimization
Platform Reliability
Cloud Architecture
Key Responsibilities
Architect and maintain the AI Gateway and Model Serving layers to provide seamless, secure access to large language models.
Design and optimize Retrieval-Augmented Generation (RAG) pipelines, including the management and scaling of Vector Databases.
Drive high-performance data processing by leading Spark optimization efforts within a Databricks environment.
Provide robust API endpoint support and develop platform tools that streamline the machine learning lifecycle.
Manage and scale complex AI/ML workloads natively within AWS.
Technical Skills Required
Apache Spark AWS Databricks Vector Databases Generative AI infrastructure
Benefits & Perks
100% Remote
Up to 5 additional 1-year option periods
U.S. Citizenship required

Job Description


About the Opportunity

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.


Key Responsibilities
  • 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.


Technical Requirements
  • 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.


Contract Terms
  • Role Type: Subcontractor
  • Duration: 12-month initial term + up to 5 additional 1-year options.
  • Work Setting: 100% Remote (Candidates must reside in the United States).



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