AI Software Engineer

• Designing, deploying, and optimizing AI and machine learning solutions in production environments.
• Building scalable pipelines for real-time inference, batch processing, and model-serving use cases.
• Developing secure and reliable APIs and services that expose AI capabilities to customers and business applications.
• Implementing MLOps practices, including CI/CD pipelines, monitoring, logging, alerting, and performance tracking.
• Collaborating with data scientists and technical teams to convert research models into production-ready solutions.
• Identifying architectural improvements, improving platform reliability, and staying current with emerging AI and ML technologies.

What we need to see from you

• 4 + yrs of experience in AI, machine learning, or software engineering roles with exposure to production deployments.
• Strong Python programming skills and ability to build reliable, maintainable software solutions.
• Hands-on knowledge of APIs, model serving, containerization, and cloud-based deployment approaches.
• Familiarity with Docker, Kubernetes, cloud platforms, and Infrastructure as Code tools such as Terraform.
• Understanding of SQL, NoSQL, vector databases, and data pipelines used in AI or ML workflows.
  • Clear communication skills with the ability to explain technical decisions to both engineering teams and business stakeholders.