AI Software Engineer

7 days ago


California, United States TopTalent Full time

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



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