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 connecting LLMs with enterprise data sources, APIs, vector databases, and cloud-based AI services to build AI assistants, chatbots, and automation agents.

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, embeddings, 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, data retrieval, and downstream action triggers.
• Use frameworks such as LangChain, LangGraph, LlamaIndex, or CrewAI to build agentic workflows.
• Perform testing and evaluation for factual accuracy, hallucination control, and safety.
• Implement Responsible AI and security controls like prompt injection mitigation and PII handling.

Requirements

• 1 to 4 years of relevant experience (Freshers/entry-level must demonstrate strong project, internship, or portfolio-based exposure).
• Strong programming fundamentals in Python.
• Practical exposure to Generative AI, LLM applications, and RAG pipelines.
• Experience or strong project exposure in agentic AI concepts like tool calling and task decomposition.
• Knowledge of vector search and semantic search.

Skills

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