Azure Data & AI Engineer working closely with clients to create sustainable technical solutions. Designing modern data platforms in Azure and contributing to data accessibility and usability.
About the role
- Founding engineer for AI-powered product line focusing on energy efficiency solutions for commercial buildings at Gridium. Collaborate directly with a founder, utilizing established data and customer base.
Responsibilities
- Build and ship AI-powered features from prototype to production.
- Evaluate and integrate frontier models and tools.
- Design eval frameworks for monitoring and improving system quality.
- Develop agent architectures that balance reliability with autonomy.
- Work across the stack—primarily backend, with some frontend as needed.
- Collaborate closely with product and customers to shape what we build.
Requirements
- A track record of defining milestones, shipping production software, and taking responsibility for results.
- Strong engineering fundamentals: system design, code reviews, test coverage, CI/CD, all the things.
- Clear written communication: specs, decision records, and crisp technical explanations.
- Comfortable owning technical decisions and bringing a critical perspective on technical cost and feasibility to questions of product strategy.
- Excited about the current moment in AI and building with it, not just reading about it.
- Fluent with AI coding tools, understand their capabilities and limitations, and bring a learning mindset to the rapidly shifting technology landscape.
Benefits
- competitive salary
- equity
- 401(k) with match
- premium medical, dental, vision, life, and disability insurance
- generous parental leave
- flexible vacation
- great work environment
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