Senior AI-Driven Data Platform Engineer

Astronomer

United States

Hybrid

USD 168,000 - 230,000

Full time

14 days+

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Benefits offered by this job

Equity
Comprehensive benefits

Job summary

Astronomer is seeking a Software Engineer to help design and build the foundation for our AI-driven data platform. You’ll work across the stack on search, information retrieval, and AI tooling that empowers data practitioners.

Join a small, highly skilled team that values velocity, creativity, and impact, collaborating with R&D and product to turn early AI concepts into real product features at scale. The role offers hybrid work in the United States, with a compensation package including equity

Qualifications

  • Experience with LLMs, embeddings, or vector databases is desired.
  • Strong collaboration and communication skills with technical and non-technical audiences.
  • Experience building AI-driven data tooling and retrieval systems is a plus.
  • Familiarity with open-source contributions a bonus.

Responsibilities

  • Shape the future of AI for data engineering and data products.
  • Design and engineer the brain of Astronomer’s context layer for data modeling and search.
  • Experiment with LLMs and retrieval techniques to build developer tools.
  • Turn research into reality by partnering with R&D and product teams.
  • Lead AI-driven data products at scale and influence technical architecture.
  • Represent Astronomer in the community through open-source contributions.

Skills

LLMs
Vector databases
Embeddings
Collaboration
Communication
Experimental mindset
Open-source

Tools

Apache Airflow

Job description

Astronomer is seeking a Software Engineer to help design and build the foundation for our AI-driven data platform. You’ll work across the stack on search, information retrieval, and AI tooling that empowers data practitioners.

Join a small, highly skilled team that values velocity, creativity, and impact, collaborating with R&D and product to turn early AI concepts into real product features at scale. The role offers hybrid work in the United States, with a compensation package including equity

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