
Agentic Al Engineer
EY India
Pune, Maharashtra, India 3 yrs Posted 1 month ago 1 openings
Not disclosedIn OfficeAI/ML EngineerSoftware Development
About this job
EY India is actively seeking a highly skilled and passionate Agentic AI Engineer to join our expanding AI engineering team in Pune. This is an unparalleled opportunity to be at the forefront of innovation, developing next-generation Agentic AI platforms, intelligent workflows, and robust enterprise-scale AI solutions for global clients. If you have a strong background in AI development and are eager to make a significant impact, we invite you to explore this exciting role with one of the world's leading professional services organizations.
Key Responsibilities
- Design, develop, and deploy advanced Agentic AI platforms and intelligent automation solutions tailored for large enterprises.
- Implement and optimize complex AI agent systems, multi-agent orchestration, and knowledge systems using frameworks like LangGraph and the Microsoft Agent Framework.
- Work extensively with Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) techniques to enhance AI application capabilities.
- Integrate and leverage cutting-edge cloud AI services, particularly Azure AI Search and other Azure AI Foundry Services, to build scalable and efficient solutions.
- Develop robust and high-performance APIs using FastAPI, ensuring seamless integration of AI models into broader enterprise architectures.
- Collaborate closely with cross-functional teams spanning AI research, data engineering, cloud architecture, and business domains to deliver comprehensive solutions.
- Contribute across the entire AI lifecycle, from data acquisition and retrieval layers to agent orchestration, model deployment, and user experience design.
- Research, evaluate, and apply emerging AI technologies and best practices to continually improve our Agentic AI offerings.
Requirements
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related technical field.
- A minimum of 3 years of hands-on professional experience in AI engineering, machine learning engineering, or backend software development with a strong AI focus.
- Demonstrable proficiency in Python development, including experience with relevant AI/ML libraries and frameworks.
- Proven experience with Agentic AI concepts and practical application of tools such as Microsoft Agent Framework or LangGraph for workflow orchestration.
- Solid understanding and practical experience with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and working with vector databases.
- Hands-on experience with cloud platforms, specifically Microsoft Azure AI services like Azure AI Search and Azure AI Foundry Services.
- Experience with data processing and analytics tools like Databricks, and database technologies including SQL and Redis for caching.
- Strong API development skills, particularly with FastAPI, and a solid grasp of RESTful API principles.
- A strong problem-solving mindset, exceptional analytical skills, and a genuine passion for innovation in artificial intelligence.
What We Offer
- The opportunity to build and deploy groundbreaking Agentic AI solutions for a diverse portfolio of global enterprise clients.
- Engagement with challenging and innovative projects involving AI agents, advanced multi-agent orchestration, and intelligent automation platforms.
- A collaborative and dynamic work environment where you will partner with high-performing teams across various domains (AI, Data, Cloud, Business).
- Significant opportunities for accelerated career growth and professional development within one of the industry's most innovative AI transformation environments.
- Be part of EY India's commitment to technological excellence and client success in the rapidly evolving landscape of artificial intelligence.
Eligibility
Professionals • 3-3 years of experience
Skills
AzureDatabricksFastAPIPythonREST APIRedisSQL
Perks & facilities
Certificate / Experience LetterLaptop / Equipment ProvidedStipend / SalaryTraining and Mentorship