Blue Yonder - Artificial Intelligence Specialist - Generative AI

Description :

Scope.

- Generative AI Specialist with an experience of 6-8 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 Youll 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 6-8 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.