RPA Developer - Core

Role Overview

We are looking for a GenAI Agentic Developer to design, build, integrate, test, and support intelligent applications powered by Large Language Models, Retrieval-Augmented Generation, tool-calling workflows, autonomous agents, and agentic AI frameworks. The role requires strong programming fundamentals and the ability to connect LLMs with enterprise data sources, APIs, vector databases, and cloud-based AI services.

Responsibilities

• Develop GenAI applications using Python, LLM APIs, prompt engineering, and RAG patterns.
• Build AI agents capable of reasoning, planning, tool calling, and workflow orchestration.
• Design and implement RAG and Agentic RAG pipelines including document ingestion, chunking, and vector indexing.
• Integrate GenAI solutions with enterprise data sources, APIs, and knowledge bases.
• Implement prompt templates, structured outputs, and output validation logic.
• Create tool integrations for API calls, workflow execution, and data retrieval.
• Perform testing and evaluation of GenAI outputs for accuracy, hallucination control, and safety.
• Implement Responsible AI and security controls such as prompt injection mitigation and PII handling.
• Collaborate with cross-functional teams to deliver AI-enabled features.

Requirements

• 1 to 4 years of relevant experience.
• Freshers must demonstrate strong project, internship, or portfolio-based exposure in Python and GenAI.
• Strong programming capability in Python, including OOP, APIs, and modular development.
• Hands-on exposure to Large Language Models, prompt engineering, and embeddings.
• Working knowledge of RAG architecture and vector search.
• Experience or project exposure in agentic AI concepts like tool calling and task decomposition.

Skills

• Python
• LangChain
• RAG
• Large Language Models
• Vector Databases