Job Description

This role focuses on the hands-on development and implementation of the AI agents and their components. They are strong individual contributors who can tackle complex problems.

:

Title:

Senior Agentic AI Engineer

Location:

Gurugram, Haryana, India

Experience:

5-8 years in AI/ML, with 2-3 years directly on Generative AI or Agentic Systems.

About the Role:

We are seeking a highly skilled Senior Agentic AI Engineer to join our dynamic team. You will be instrumental in developing, optimizing, and deploying sophisticated Agentic AI models, working closely with LLMs/SLMs to create intelligent systems that solve complex business problems for our digital products.

Key Responsibilities:

Agent Development:

Design, develop, and implement various components of AI agents, including planning modules, tool integration, memory systems, and reasoning engines.

LLM/SLM Integration:

Manage and monitor integration and fine-tuning of Large Language Models (LLMs) and Small Language Models (SLMs) to power agent capabilities, focusing on performance, cost, and specific task requirements.

Prompt Engineering & RAG:

Develop and optimize prompt strategies and implement Retrieval-Augmented Generation (RAG) techniques to enhance agent knowledge and accuracy.



Tooling & Orchestration



: Utilize and contribute to agent orchestration frameworks (e.g., LangChain, LlamaIndex) to build robust and modular agent systems.

Evaluation & Testing:

Develop and implement rigorous testing methodologies and evaluation metrics for agent performance, reliability, and safety, including adversarial testing.



Code Quality & Best Practices



: Ensure high code quality, maintainability, and adherence to engineering best practices throughout the development lifecycle.

Collaboration:

Work collaboratively with the startups and partners of MSIL to develop GenAI systems.

Required Qualifications:

Bachelor's or master's degree in computer science, AI, Machine Learning, or a related field.



5-8 years of experience in software development with a focus on AI/ML applications.



2-3 years of hands-on experience developing with Generative AI models, LLMs, or agentic systems.



Strong proficiency in Python and relevant AI/ML libraries (e.g., PyTorch, TensorFlow, Hugging Face Transformers).



Practical experience with prompt engineering, RAG, and fine-tuning LLMs.



Experience with agent development frameworks (e.g., LangChain, LlamaIndex).



Familiarity with MLOps concepts and tools for deploying and monitoring AI models.



Experience with cloud platforms (Azure preferred) and containerization technologies (Docker, Kubernetes).



Solid understanding of data structures, algorithms, and software design principles.



Excellent problem-solving skills and attention to detail.

Preferred Qualifications:

Experience building and deploying AI agents in production environments.



Knowledge of different multi-agent architectures and communication protocols.



Understanding of ethical considerations in AI and strategies for bias mitigation.