AI Data Engineer ID51654
Summary
Senior AI Data Engineer builds resilient data pipelines and cloud infrastructure for energy intelligence, enabling LLM workflows and automation using Python, GCP, and SQL/NoSQL.
AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.
WHY JOIN US
If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!
ABOUT THE ROLE
We are looking for a Senior AI Data Engineer (Python) to build and scale the data and AI infrastructure powering next-generation energy intelligence. In this role, you’ll design resilient data pipelines, APIs, and cloud architectures while enabling LLM workflows and automation across the platform. Working closely with technical leadership in a fast-moving startup environment, you’ll shape how data transforms into real-world impact and scalable AI-driven solutions.
WHAT YOU WILL DO
- Build high-reliability data pipelines and APIs to connect to utilities and public energy sources;
- Architect databases and ingestion systems for time-series energy data, billing, and telemetry;
- Design GCP infrastructure such as BigQuery, Cloud SQL, and Secret Manager for scale and cost efficiency;
- Build infrastructure that enables coding agents and AI tools to automate workflows across the stack;
- Set up CI/CD, observability, and automation to maintain fast and reliable delivery;
- Document, communicate, and collaborate across technical and business teams to translate work into impact metrics.
MUST HAVES
- 4-7 years of experience as a Data Engineer;
- Experience building production data systems using Python, TypeScript, GCP, and SQL/NoSQL;
- Upper-intermediate English level.
PERKS AND BENEFITS
- Professional growth: Mentorship, TechTalks, and personalized growth roadmaps.
- Competitive compensation: USD-based pay with education, fitness, and team activity budgets.
- Exciting projects: Modern solutions with Fortune 500 and top product companies.
- Flextime: Flexible schedule with remote and office options.