Sr Software Engineer - Python & Agentic AI

Scope: Generative AI Specialist  with 5-7 years’ experience  in AI/ML engineering, data processing and LLM Models. In this role, you will design, deploy, and optimize AI agents using Large Language Models (LLMs) and complementary tools. A solid grounding in AI Engineering and MLOps is essential.   Our current technical environment: Advanced Python and SQL programming. React/TypeScript/Next.js (javascript frameworks) Knowledge for building intuitive user interfaces. Demonstrated expertise in integrating AI solutions into large-scale, complex systems with a focus on scalability and operational efficiency. Strong problem-solving, analytical, and communication skills.

What you’ll do:   Architect and develop sophisticated AI agents leveraging LLMs and other Generative AI technologies to automate and optimize supply chain processes. Fine-tune and adapt LLMs for specific industry use cases, including instruction tuning, embeddings, and vector database integration. Demonstrates good understanding of the product and owns one or more modules Write efficient, clean, and production-ready Python code in accordance with best practices and organizational guidelines. Build user-friendly, scalable UIs with React and TypeScript to enhance AI-driven tools. Implement robust testing and automated pipelines to ensure solutions are scalable, maintainable, and reliable. Lead efforts to minimize infrastructure costs and optimize system performance for AI-driven applications.

What we are looking for :   BE/B. Tech or ME/M. Tech with 5-7 years of experience in Software Development of large and complex enterprise applications. Professional experience in python, built or worked on AI applications/tools, integrations and data engineering, knowledge on LLMs  with a strong focus on AI agentic workflows. Experience in building and deploying AI agents using frameworks like LangChain, LlamaIndex, and LangGraph. Hands-on experience with LLM training, fine-tuning, embeddings, and instruction tuning. Proficiency in cloud platforms (AWS, Azure, Google Cloud) and containerization (Docker, Kubernetes). Solid background in traditional AI methodologies (e.g., classical machine learning, rule-based systems) to complement emerging agent-based solutions. Demonstrates problem solving and innovation ability. Ability to do R&D in latest developments in AI especially pertaining to new models or platforms being launched. Participates in company technical evaluations and coding challenges.

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All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.