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Senior Software Engineer, AI Data

AssemblyAI

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Job Description:

We're seeking an exceptional Senior Software Engineer to join our AI Data team. This role is focused on building robust, scalable systems that power our AI data platform. You’ll work on high-impact projects that directly influence our ability to train and evaluate models at scale, with a strong emphasis on software engineering excellence, system reliability, and code quality. As a Senior Engineer, you'll drive technical execution within your team, taking ownership of significant features and components. You should be passionate about writing clean, maintainable code, implementing comprehensive testing strategies, and continuously improving engineering practices. This role requires close collaboration with researchers, platform engineers, and other stakeholders. You'll need to balance technical excellence with pragmatic delivery in a fast-paced startup environment.

Job Responsibility:

  • Architect Next-Gen AI Data Infrastructure
  • Design scalable, future-proof data platforms optimized for AI research workloads
  • Build efficient self-serve data processing pipelines leveraging GCP's advanced services
  • Implement cost-effective storage and monitoring solutions for ML at scale
  • Create flexible training resource management with intelligent queuing
  • Optimize resource allocation for maximum training efficiency
  • Participate in on-call rotation to ensure system reliability
  • Advance Technical Excellence
  • Lead adoption of cutting-edge ML tools and frameworks, continuously evaluating and integrating best-in-class solutions
  • Streamline existing workflows while introducing new tooling that further reduces complexity
  • Enhance our tooling and documentation to accelerate team velocity and maintain our competitive edge
  • Implement guardrails for cost, quality, and performance
  • Identify and eliminate technical bottlenecks in the data processing and training pipelines

Requirements:

  • 5+ years of professional software engineering experience
  • Strong proficiency in Python and SQL with demonstrated ability to write production-quality code
  • Solid understanding of software engineering fundamentals: Data structures and algorithms
  • System design and architectural patterns
  • Testing strategies (unit, integration, end-to-end)
  • Code review practices and technical collaboration
  • Experience with: RESTful APIs and distributed systems concepts
  • Containerization (Docker) and basic cloud infrastructure
  • Track record of delivering high-quality software in a team environment
  • Ability to thrive in a startup environment with changing priorities and rapid iteration

Nice to have:

  • Experience with GCP services (BigQuery, GCS, Cloud Run, GKE)
  • Familiarity with distributed processing frameworks (Apache Beam, PySpark)
  • Experience with workflow orchestration tools (Airflow, Prefect, Dagster)
  • Understanding of ML/AI infrastructure and data pipelines
  • Experience with monitoring and observability tools (Datadog)
  • Experience working with researchers directly
  • Background in data engineering roles
What we offer:
  • competitive equity grants
  • 100% employer-paid benefits
  • the flexibility of being fully remote

Additional Information:

Job Posted:
February 17, 2026

Employment Type:
Fulltime
Work Type:
Remote work
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