Python AI Developer

About Us

Kumaran Systems: Engineering Future-Ready Transformations Since 1992, Kumaran Systems has been helping enterprises bridge the past and the future, reimagining legacy systems and embracing AI-led possibilities. With over 34 years of delivery excellence, we specialise in re-engineering core applications, driving cloud transformation, and building automation-first, GenAI-enabled ecosystems across the Banking and Financial Services, Insurance, Telecom, and Automotive sectors. We help organisations not just upgrade their systems but reimagine what’s possible.

Why Kumaran?

We blend engineering discipline with AI innovation, helping clients modernise with confidence, automate with clarity, and scale with purpose. Our global delivery model ensures agility, responsiveness, and seamless collaboration, with clients always at the heart of every engagement. At Kumaran, we don’t just solve problems, we engineer future-ready transformations.

Role Summary

Seeking a Python/AI Developer with 3+ years of hands-on experience to build data-driven applications, RESTful APIs, and ML/LLM solutions. The role combines strong Python engineering (Pandas/NumPy, SQL, Flask) with practical experience in ML frameworks (e.g., PyTorch) and GenAI/LLM tooling (GPT, Llama2, Gemini). You will design, implement, and deploy robust, scalable services and models, collaborating with cross-functional teams to deliver production-grade AI features.

Responsibilities

• Design and develop robust Python services and RESTful APIs using Flask.
• Build data processing pipelines and analytics workflows using Pandas and NumPy.
• Implement, train, and optimize ML models (preferably with PyTorch); integrate models into production.
• Apply GenAI/LLM techniques (GPT, Llama2, Gemini, etc.) for real-world use cases; evaluate outputs and iterate.
• Write efficient SQL for Oracle/MySQL/PostgreSQL; optimize queries and schemas for performance.
• Ensure code quality with testing (e.g., pytest), logging, and CI-friendly structures.
• Collaborate with product/data teams to translate requirements into scalable solutions.
  
  

• Strong Python programming and scripting fundamentals.
• Data manipulation with Pandas and numerical computing with NumPy.
• SQL proficiency with at least one RDBMS: Oracle, MySQL, or PostgreSQL.
• REST API design and development experience with Flask.
• Practical experience with ML libraries, preferably PyTorch.
• Hands-on work with GenAI/LLMs (e.g., GPT, Llama2, Gemini), including prompt engineering and integration.