Applied AI Engineer

Job Description:

Roles & Responsibilities:

• Design, develop, and maintain scalable backend services and APIs using Python, with strong hands-on experience in the FastAPI framework.
• Contribute to the end-to-end development of enterprise automation solutions.
• Design and implement RESTful APIs, microservices, and integration workflows.
• Write clean, efficient, well-tested, and maintainable code following established engineering best practices and coding standards.
• Collaborate with architects, product owners, and cross-functional teams to translate business requirements into robust technical solutions.
• Optimize application performance, scalability, and reliability, including database design, query optimization, and caching strategies.
• Implement and maintain CI/CD pipelines, automated testing, and code review practices to ensure high-quality releases.
• Apply AI/ML techniques and libraries, where applicable, to enhance automation, data processing, and decision-support capabilities within enterprise platforms.
• Troubleshoot, debug, and resolve production issues, ensuring minimal downtime and rapid root-cause resolution.
• Participate in code reviews and contribute to mentoring junior developers.
• Document technical designs, APIs, and processes to support knowledge sharing and sustainable solution handover.

Required Skills & Qualifications:

• Bachelor’s degree in Engineering, Computer Science, Information Technology, or a related field.
• 3–5 years of hands-on experience in Python development, with hands-on experience in the FastAPI framework.
• Solid understanding of RESTful API design, asynchronous programming, and microservices.
• Experience working with enterprise automation platforms and integrating them with backend systems and APIs.
• Proficiency with relational and/or NoSQL databases, ORM tools, and API testing tools/frameworks.
• Familiarity with containerization (Docker), version control (Git), and CI/CD tools.
• Exposure to AI/ML concepts and libraries (e.g., scikit-learn, TensorFlow, PyTorch), or experience integrating AI/ML models into automation workflow.
• Strong analytical, problem-solving, and communication skills, with the ability to work directly with stakeholders and technical teams.