AI Enablement Engineer

Galaxy - United States

Engineer Verified May 28, 2026 Source: galaxy.com

This role is part of the Internal AI Job Board, a curated list of jobs for teams building or operating internal AI systems. Follow the original role page for the employer description, requirements, and application flow.

Compensation: Salary Range$175,000—$220,000 USD Galaxy respects diversity and seeks to provide equal employment opportuniti

Qualifications

6+ years of experience in any of the following: Site reliability engineering (SRE), Software engineering, Data engineering (DBA/DBRE), or Machine learning engineering
Strong proficiency in Python and experience building data pipelines
Hands-on experience with LLMs and understanding of prompting techniques, fine-tuning, and RAG architectures
Experience with vector databases (e.g., Pinecone, Weaviate, pgvector, ChromaDB)
Familiarity with cloud platforms, particularly AWS services
Excellent communication skills with ability to explain technical concepts to non-technical stakeholders
Demonstrated ability to work independently and drive projects from concept to production
Experience with Amazon Bedrock, SageMaker, or similar managed ML services
Familiarity with Ollama or other local LLM deployment frameworks
Background in evaluating and benchmarking ML models
Experience with AI-assisted coding tools (Claude Code, Cursor, GitHub Copilot, etc.)
Understanding of MLOps practices and tools
Previous consulting or internal enablement experience
Knowledge of responsible AI practices and governance frameworks