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Founding Software Engineer – Data & AI Systems

  • Source: LinkedIn
  • Henderson Scott
  • $200,000 to $280,000 /yr
  • On-site
  • New York City
  • Full-Time
  • Mid level

Job Description

Founding Software Engineer – Data & AI Systems

**New York City Early-stage AI company**

$200,000 - $280,000

I’m working with an early-stage AI company in New York that is building software used in real-world, high-stakes environments.

The business has been founded by an experienced team who have previously built and scaled a successful technology company through exit. They’re now building their initial engineering team and are looking for a senior engineer to take significant ownership of the data and systems architecture behind the platform.

This isn’t a traditional Data Engineer position.

They’re looking for a strong software engineer who enjoys designing systems from first principles, someone comfortable thinking about how large volumes of data are ingested, processed, stored, retrieved and ultimately used by AI/LLM-driven applications.

You’ll work directly with the founders and CTO, with considerable autonomy over both technical decisions and what gets built.

What you’ll work on

  • Designing scalable data processing and ingestion architectures
  • Building pipelines and services handling complex, high-volume data
  • Designing event-driven, distributed and asynchronous systems
  • Making architectural decisions around storage, retrieval, reliability and performance
  • Building the data layer behind LLM and agent-driven applications
  • Working with retrieval, context, tool use and structured data in AI workflows
  • Taking loosely defined problems and turning them into production systems
  • Working closely with users and the founding team rather than simply receiving requirements

What they’re looking for

  • Strong commercial software engineering experience, ideally with Python
  • Deep experience with data systems, pipelines or large-scale data processing
  • Strong system design and software architecture skills
  • Experience with technologies such as Kafka, Spark, Airflow, Databricks or similar
  • Strong understanding of SQL/databases and modern cloud infrastructure
  • Hands-on experience building with LLMs, agents, RAG or AI-assisted development
  • Comfortable using tools such as Claude Code, Cursor or similar, while understanding and owning the code being produced
  • Able to work independently in an environment where the answer isn’t always defined in advance

Experience in an early-stage company, as a founding engineer or building products from 0→1 would be useful, but it isn’t essential.

The important thing is that you’re a strong engineer who can reason deeply about data and systems, make architectural decisions independently and build the resulting solution.

Skills

  • Python
  • Kafka
  • Spark
  • Airflow
  • apache-airflow
  • azure-databricks
  • databricks
  • claude-code
  • Cursor
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