Agentic AI Engineer

Eligibility Criteria

Bachelor’s or Master’s degree in Computer Science, AI, ML, Data Science, or related field 0–2 years experience in Software Engineering, AI Engineering, or ML Engineering Internship or project experience considered valid Strong programming skills in Python and/or Java Basic knowledge of APIs and distributed systems Understanding of data structures and debugging concepts Familiarity with cloud platforms such as AWS, GCP, or Azure Interest in Generative AI and AI workflow systems

Responsibilities

• Support design and development of AI-powered automation systems
• Build backend services using Python or Java
• Work on multi-agent workflows and orchestration
• Develop RAG pipelines and knowledge retrieval systems
• Create testing and validation strategies for AI systems
• Improve AI system reliability through experimentation
• Collaborate with product and domain teams
• Participate in code reviews and documentation
• Support deployment and maintenance of production systems

Skills

• Core Skills:
• Python Programming
• Java Programming
• Generative AI Fundamentals
• API Development
• Backend Development
• Data Structures & Algorithms
• Debugging & Performance Optimization
• Cloud Platforms (AWS
• Azure
• GCP)
• Preferred Skills:
• Retrieval-Augmented Generation (RAG)
• Multi-agent workflows
• NLP and Language Models
• Fine-tuning AI models
• Reinforcement Learning basics
• Distributed Systems
• Event-driven Systems

Education

• B.E
• B.Tech
• M.Tech in:
• Computer Science
• Artificial Intelligence
• Machine Learning
• Data Science
• Related Engineering Fields