AI Software Engineer (Contract-to-Hire)

We are hiring an AI Software Engineer for a contract-to-hire position onsite in San Francisco. After the initial contract period, the role is intended to convert into a full-time permanent position based on performance.

You will join a compact engineering team working on practical, production-grade AI solutions. The work involves building software systems around modern AI models, integrating machine learning into scalable applications, and improving data and model workflows end to end.

Tasks

• Design, develop, and maintain software systems built around modern AI technologies.


• Build and optimize machine-learning pipelines with a focus on scalability and reliability.


• Collaborate with engineers to define requirements, design system components, and review code.


• Apply engineering standards: version control, unit testing, documentation, and continuous integration.


• Design experiments to validate model behavior and improve performance.


• Work onsite with a small, agile team and contribute to short delivery cycles.

Requirements

Preferred Qualifications

Bachelor’s degree in Computer Science, Engineering, or related discipline.

• 5+ years of experience in software engineering or data/ML engineering.


• Experience with Azure or other cloud environments.


• Exposure to big-data platforms such as Databricks, Snowflake, Spark, Impala, Solr, or Kudu.


• Familiarity with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.


• Experience with ETL processing and building end-to-end ML workflows.

And more:

• Strong knowledge of .NET / .NET Core and C#.


• Professional experience in Python for data engineering or AI model development.


• Hands-on exposure to LLMs and tools such as ChatGPT, Cursor, or Copilot.


• Experience building API microservices.


• Solid understanding of Object-Oriented Programming.


• Experience with SQL and distributed query debugging.


• Strong testing discipline, including experimentation and data-driven validation.


• Ability to work independently and collaborate in an onsite engineering environment.

Benefits

• Full-time position.


• Hybrid possible, depending on company policy.


• Applicants must be legally allowed to work in the region (no sponsorship).

Only apply if you fit the skills!