AI Software Engineer

Job Summary

Are you passionate about building AI solutions that solve real customer challengesDo you enjoy taking AI products from architecture and development through to deployment, monitoring, and optimizationAre you excited by the opportunity to work across cloud, MLOps, and modern AI technologies to deliver measurable customer valueAt SoftwareOne, we help organizations unlock the value of cloud, data, and AI through innovative technology solutions. We are looking for an AI Software Engineer to design, build, deploy, and optimize production-ready AI solutions that help customers achieve their business goals and accelerate AI adoption. As an AI Software Engineer, you will work across the full AI product lifecycle, from solution architecture and model deployment to performance optimization and ongoing reliability. Collaborating closely with data scientists, engineers, and customer-facing teams, you will help transform AI concepts into scalable, secure, and high-performing production solutions.

Your key responsibilities

• 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.

Job Function

Services

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