AI Software Engineer (Contract-to-Hire)

San Francisco, CA - USA

Hourly Salary: EUR 60 - 65

Posted on: 5 hours ago

Vacancies: 1 Vacancy

Job Summary

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

Bachelors 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!

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

Bachelors 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.