Design and develop AI-enabled services and applications using Python and modern cloud-native architectures.
Integrate large language models (LLMs) and AI APIs into production systems to enable intelligent automation and decision support.
Build scalable microservices and APIs that support AI-driven workflows and data processing.
Develop pipelines and services that process structured and unstructured data to support intelligent applications.
Implement secure APIs and event-driven architectures that support data integration and AI-enabled services.
Optimize AI-powered applications for performance, reliability, and scalability in cloud environments.
Collaborate with engineers, product teams, and stakeholders to translate AI concepts into deployable solutions.
Take on additional tasks and responsibilities as needed to support team objectives and ensure the success of the project.

Bachelor’s degree in Computer Science, Software Engineering, Artificial Intelligence, or a related technical discipline.
5 years of hands-on experience developing or deploying AI-enabled applications.
Demonstrated experience with Cursor, GitHub Copilot, OpenAI Codex or Claude Code.
Strong programming skills in Python for developing AI-enabled applications, APIs, and microservices.
Hands-on knowledge of JavaScript/ TypeScript for integration of AI into existing UI/ UX workflows
Hands-on experience integrating Large Language Models (LLMs) or AI APIs (such as OpenAI, Bedrock, Claude, or similar) into production environments.
Experience developing cloud-native applications using platforms such as AWS, Azure, or Google Cloud.
Experience building REST APIs, microservices, and distributed systems that support scalable AI workflows.
Experience working with modern development practices including Git, CI/CD pipelines, containerization, and DevOps workflows.
Strong analytical and problem-solving abilities with the ability to troubleshoot complex systems.
Effective communication and collaboration skills within cross-functional engineering teams.
Strong attention to detail and commitment to building reliable, high-quality software solutions.

Software Product Engineer

Key skills