AI Fund
Forward Deployed Engineer
Mountain View, CA$175k–$225kfull timemidAdded 1 week ago
About this role
Join a forward-thinking team as an AI Engineer responsible for deploying machine learning solutions in production environments. This role combines AI/ML expertise with software engineering practices to build scalable, real-world AI applications.
What you'll do
- Deploy and maintain ML models in production systems
- Collaborate with data scientists to operationalize machine learning solutions
- Develop and optimize AI/ML infrastructure and pipelines
- Debug and troubleshoot AI system performance issues
- Implement MLOps best practices and monitoring
- Contribute to full-stack AI application development
What they're looking for
- Machine learning frameworks (TensorFlow, PyTorch, or similar)
- Python programming
- MLOps and model deployment tools
- Software engineering fundamentals
- Cloud platforms (AWS, GCP, or Azure)
- API development and integration
- Data pipeline design
- System design and scalability
Opens the official application on the employer’s site. No login required.
AI Fund
AI Fund builds and invests in AI-powered applications spanning healthcare, productivity, manufacturing, and developer tools. The company is hiring AI Engineers, ML specialists, and full-stack engineers to deploy production machine learning solutions, develop AI-driven platforms for chronic care and business intelligence, and contribute to open-source AI infrastructure projects.
View all jobs at AI FundLikely interview questions
- Describe your experience deploying ML models to production and the challenges you faced
- How do you approach monitoring and maintaining model performance over time?