Job description

About Job

We are seeking a dynamic AI Engineer to join our pioneering Agentic AI team. The ideal candidate will possess a strong foundation in model development, UI development and development of APIs. You will be involved in the end-to-end stage of the development life cycle.

Roles and Responsibilities

Deliveries with respect to Agentic AI Platform:
Build and maintain autonomous software agents using state-of-the-art LLM frameworks.
Collaborate with product owners and domain experts to build reusable components for business process automation.
Develop core infrastructure and reusable components to support the deployment of agent-based AI systems.
Work on agent orchestration, prompt engineering, and LLM-powered integrations.
Implement scalable solutions integrated with CRM systems and enterprise data platforms.
Contribute to the design of modular, extensible, enterprise-grade architectures.
Fine-tune and evaluate AI agents for speed, accuracy, performance and maintainability across business units.
Contribute to CI/CD automation and maintain operational stability of agent services.
Generative AI & Model Optimization:
Fine-tune LLMs/SLMs with proprietary NBFC data.
Perform distillation, quantization of LLMs for edge deployment.
Evaluate and run LLM/SLM models on local/edge server machines.
Self-Learning Frameworks:
Build self-learning systems that adapt without full retraining (e.g., learn new rejection patterns from calls).
Implement lightweight local models to enable real-time learning on the edge.

Required Qualifications and Experience

Educational Background: Bachelors or Masters degree in Computer Science, Engineering, or a related field.
Experience: 47 years of experience in AI/ML, with exposure to Python, Node.JS, JavaScript, React, Java.
Good understanding of Google GCP/Microsoft Foundry + MS CoPilot Studio/ Agentforce or Equivalent.
Strong programming skills in languages such as Python, Node.JS, JavaScript, React, Java.
Familiarity with LangChain, Semantic Kernel, CrewAI, or LangGraph.
Experience building with or integrating LLMs for task automation, reasoning, or autonomous workflows
Understanding of Microsoft Copilot Studio, BigQuery, Power Apps, and Power BI
Familiarity with the Agent Development Kit (ADK) and MCP (Multi-agent Communication Protocol)
Strong understanding of prompt engineering, tool calling, and agent orchestration.

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