Senior Software Engineer building scalable data platforms and analytics solutions at S&P Global. Collaborating with teams to enable data - driven decision making and implementing cloud technologies.
About the role
- Senior Software Engineer building intelligent systems for data engineering at Astronomer. Collaborating on applied AI and information retrieval challenges within a fast-paced research-driven environment.
Responsibilities
- Shape the future of AI for data engineering - build intelligent systems that understand, reason about, and optimize the flow of data across entire organizations.
- Design and engineer the brain of Astronomer’s context layer, crafting components that power data modeling, semantic search, retrieval, and code generation.
- Push the boundaries of applied AI - experiment with LLMs, embeddings, and cutting-edge retrieval techniques to create developer tools that deliver insights to you and our customers.
- Turn research into reality - work side by side with R&D and product teams to bring early AI concepts to life in the product experience.
- Solve high-impact information retrieval and search challenges at a global scale, leveraging Astronomer’s unparalleled visibility into data pipelines across industries.
- Influence the technical vision and architecture for the next generation of AI-driven data products.
- Represent Astronomer in the community - through open-source contributions, technical talks, and publications that showcase our leadership in AI and data innovation.
Requirements
- Empathy for users, and a deep interest in improving the workflows of data professionals.
- Familiarity with early-stage product development; comfortable working with ambiguity in a fast-changing field.
- Experience with LLMs, vector databases, embeddings, or other applied AI areas—or a strong desire to dive in.
- A creative, experimental mindset: you enjoy exploring uncharted areas, validating hypotheses, and learning through iteration.
- Strong collaboration and communication skills—you can explain complex systems clearly to both technical and non-technical audiences.
- A collaborative approach and comfort working in an evolving, research-driven environment where ideas move quickly.
Benefits
- Comprehensive benefits package
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