IN - Lead Software Engineer

Scope:

Generative AI Specialist with an experience of 8-10 years 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 proficiency 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 8-10 years of experience in Software Development of large and complex enterprise applications.

· Professional experience in data science, machine learning, or software development, with a strong focus on AI agent workflows.

· Experience in building and deploying AI agents using frameworks like LangChain, LlamaIndex, and Hugging Face.

· 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.

· Participates in company technical evaluations and coding challenges.

Our Values

If you want to know the heart of a company, take a look at their values. Ours unite us. They are what drive our success – and the success of our customers. Does your heart beat like ours? Find out here: Core Values

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.