PR/123242 | AI Engineer

Job Summary

We are looking for a highly skilled and forward-thinking AI Engineer to join our Corporate MIS / Business Applications tea. The ideal candidate will be a critical player in identifying business use cases, designing AI/ML model architectures, and leading the end-to-end development and deployment of scalable, intelligent solutions.

Key Responsibilities

• Engage with stakeholders to identify and frame business problems suitable for AI/ML.
• Lead the design, training, testing, and deployment of ML models and Generative AI solutions.
• Ensure reliability, scalability, and compliance with governance standards.
• Craft and refine prompts for large language models and implement Retrieval-Augmented Generation (RAG) architectures.
• Design and orchestrate intelligent multi-agent systems using role-specialized agents.
• Build structured, context-aware models and agents using Pydantic AI.
• Develop and manage robust ETL (Extract, Transform, Load) pipelines to feed data into AI systems.
• Explore cutting-edge AI capabilities, test new architectures, and bring innovative ideas into practical implementation.
• Work cross-functionally with product owners, developers, and operations teams, presenting complex concepts in business-friendly language.

Qualifications & Experience

• Experience: 3-5+ years of hands-on experience in AI/ML development, especially in use-case-driven solution building. You must have a proven ability to own model development from use-case definition to deployment. Experience in enterprise, manufacturing, or process-driven environments is preferred.
• Technical Skills: Proficiency in Python and ML/AI libraries like PyTorch, scikit-learn, and Hugging Face is required. A strong understanding of machine learning, NLP, predictive modeling, and RAG pipelines is also essential. Expertise in multi-agent AI design using Model Context Protocol (MCP) is a key requirement.
• Frameworks: You should have experience with Pydantic AI or similar frameworks, such as LangChain, LangGraph, or Semantic Kernel.
• Education: A Bachelor's or Master's degree in Computer Science, Data Science, AI, or a related field is required
• Personal Attributes: You must have strong analytical, critical thinking, and problem-solving skills. Excellent communication and the ability to simplify complex technical ideas are crucial. The ideal candidate is a self-starter with an innovation mindset. Good English proficiency is also required.