AI Engineer

Job Title: AI Engineer

Location: Trivandrum

Required Skillset: Python, AWS, AI, Cloud-Native Development

Key Responsibilities

• Collaborate with the Development team, Business Analysts and Product Owner to determine application requirements.
• Write scalable and testable Python code using the Python programming language and relevant third-party libraries.
• Design, build, and deploy AI/ML models and integrate them into production applications, including generative AI and LLM-based solutions.
• Develop and deploy cloud-native solutions on AWS, leveraging services such as Lambda, EC2, S3, and SageMaker.
• Build and maintain containerized, microservices-based applications with automated CI/CD pipelines for scalable deployment.
• Testing and debugging applications.
• Code migration from Python 2.x to Python 3.x.
• Liaising and interacting with IT Business Analysts and Business Architects regarding specific items of software functionality that are being requested by and/or through internal users.
• Adherence to standard software development principles and established development processes. Document all workflows & propose efficiencies when applicable.
• Additional duties as assigned.

Qualifications and Experience

• 6+ years of experience in relevant technologies.
• Relevant degree or diploma in computer science, information technology, computer engineering and information system management.
• Expert knowledge of Python, related frameworks and third-party libraries including NumPy and Pandas.
• Hands-on experience building and deploying AI/ML models, with exposure to machine learning and/or generative AI (LLMs) in production settings.
• Practical experience with AWS cloud services for application development, deployment, and data processing.
• Experience designing and building cloud-native applications, including microservices, containerization, and CI/CD pipelines.
• A deep understanding of multiprocessor architecture and the threading limitations of Python.
• Experience with handling large data volumes efficiently and affinity to data.

Skills and Knowledge

• Professional understanding of Python 2.7 and higher.
• Strong working knowledge of AWS services such as Lambda, EC2, S3, RDS, SageMaker, and API Gateway.
• Cloud-native development skillset including containerization (Docker, Kubernetes), microservices architecture, serverless computing, and CI/CD (e.g., AWS CodePipeline, GitHub Actions, Jenkins).
• Experience with AI/ML frameworks and tools such as TensorFlow, PyTorch, scikit-learn, or LLM/GenAI frameworks (e.g., LangChain, OpenAI/Anthropic APIs).
• Knowledge in MongoDB 3-5, query language, including aggregation framework. Ideally including experience in setting up and maintaining replica sets.
• Front end skills in PHP, Laravel, JavaScript, TypeScript and knowledge of Angular and React are a plus.
• Any additional proficiencies in .NET C# MVC and .NET Core 5, jQuery, MSSQL are warmly welcomed.
• Experience using Docker, PowerShell, or Linux Bash.
• Proficiency in using Git.