Job Opening For Mid-level Agentic AI Engineer - Internal Project

Position: Sr Agentic AI Engineer

Location: Bengaluru/Salem
No of Position: 2

Experience: 2-6 Yrs

Core Competencies:

Large language model (LLM) mastery: Deep understanding of how LLMs work, their limitations (e.g., hallucinations, biases), and how to apply models from providers like OpenAI, Anthropic, Google, and open-source models like LLaMA.
Agentic frameworks and architecture: Proficiency with specialized tools for building and orchestrating multi-agent systems, such as:
- LangChain/LangGraph: Used for creating chains of tasks and multi-agent workflows.
- AutoGen: A framework by Microsoft that simplifies multi-agent communication and collaboration.
- CrewAI: Ideal for assigning specific roles and personas to different AI agents working together.
Retrieval-Augmented Generation (RAG): Expertise in implementing RAG systems, which allow agents to retrieve information from large, domain-specific knowledge bases to generate more accurate and relevant responses.
Tool integration and function calling: The ability to teach AI agents how to interact with external software, APIs, and databases (e.g., sending emails, querying a CRM) to expand their capabilities.
Deep learning and machine learning: A strong foundation in ML fundamentals, including supervised, unsupervised, and reinforcement learning, with a specific focus on deep learning techniques relevant to generative models.

Tools & Technologies: GraphRAG, Anthropic Claude, LLaMa, OpenAI, CrewAI, LangGraph, LangChain, OpenSearch, AWS SageMaker, AWS Bedrock, Neo4j, Jupyter Notebooks, TensorFlow, PyTorch

Programming Languages: Python, R, SQL, AI Centric Libraries

Methodologies: Generative AI, Agentic AI, Transfer Learning, Fine Tuning

Optimization & Performance: Model Optimization, A/B Testing, Scalability, Performance Tuning, Distributed Computing

Soft Skills: Problem Solving, Critical Thinking, Collaboration, Communication, Continuous Learning.

Job Responsibilities:

As an Agentic AI Engineer, you will be responsible for research & innovation, technology development including quick architecture, design & development of prototypes and ensuring timely evolution of prototypes into products. The primary objective of this role will be to ensure the constant launch of innovative products for consumers with the help of a small team of highly qualified research technologists / developers.
Design autonomous and multi-agent systems: Architect complex systems where multiple AI agents can collaborate, delegate tasks, and communicate with one another to achieve a shared goal.
Develop agent frameworks: Build systems with core agentic capabilities, such as perception, reasoning, planning, memory management, and self-correction.
Integrate LLMs: Use large language models (LLMs) from providers like OpenAI, Google, and Anthropic as the "brain" for the agents, customizing their behavior with specific prompts.

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