Senior Software Engineer, Applied AI

Astronomer

full-time

Posted on: 10/17/2025

Location Type: Hybrid

Location: New York City • New York • 🇺🇸 United States

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💰 $180,000 - $210,000 per year

Senior

About the role

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.

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

Tip: use these terms in your resume and cover letter to boost ATS matches.

data engineeringAILLMsembeddingsinformation retrievaldata modelingsemantic searchcode generationvector databasesapplied AI

empathycollaborationcommunicationcreativityexperimental mindsetproblem-solvingadaptabilityuser-focusediterative learningcomfort with ambiguity