AI Prompt Engineer / Agentic AI Engineer

Zettamine Labs; Hyderabad, Pune District, Bengaluru; Remote; INR 1,400,000 - 2,200,000; Full time

Job summary

ZettaMine seeks an AI Prompt Engineer to design and deliver Agentic AI solutions across enterprise systems. You will build prompts, agent workflows, and MCP-enabled tools enabling autonomous reasoning and task orchestration.

The role requires expertise in LLMs, prompt engineering, and AI agent frameworks, with hands-on experience in Semantic Kernel, LangChain, and related tools. Remote PAN India with strong collaboration across teams.

Qualifications

• Must have experience with Large Language Models (LLMs) and prompt engineering.
• Strong understanding of AI agent frameworks and conversational AI systems.
• Hands-on experience deploying agentic AI apps using MCP, tool integrations, and API orchestration.

Responsibilities

• Design, develop, and optimize prompts for LLMs to improve accuracy and outcomes.
• Build Agentic AI solutions with planning, reasoning, and multi-step task execution.
• Integrate MCP tools for secure enterprise system discovery and data access.
• Define architectures, tool-calling frameworks, and context management strategies.
• Collaborate with product/engineering to translate requirements into AI-driven solutions.

Skills

LLM experience

Prompt engineering

AI agent frameworks

Conversational AI

Python

TypeScript

MCP integration

API orchestration

Knowledge retrieval

Cloud platforms (Azure/GCP/AWS)

Tools

Semantic Kernel

LangChain

LangGraph

AutoGen

CrewAI

Job description

Hello All,

Greetings from ZettaMine!!!

Job Title: AI Prompt Engineer / Agentic AI Engineer

Location: PAN India

Experience: 7-12 Years

Notice Period: Immediate Joiners

Role Summary

The resource will support the design, development, and delivery of Agentic AI solutions by creating, optimizing, and managing AI prompts, agent workflows, and MCP-integrated tools. The role will focus on enabling intelligent AI agents capable of autonomous reasoning, task orchestration, tool utilization, and workflow execution across enterprise applications.

Key Responsibilities

• Design, develop, and optimize prompts for Large Language Models (LLMs) to improve accuracy, reliability, and business outcomes.
• Build and configure Agentic AI solutions that leverage planning, reasoning, memory, and multi-step task execution capabilities.
• Develop and integrate MCP (Model Context Protocol) tools, enabling AI agents to securely discover and interact with enterprise systems, APIs, and data sources.
• Design agent architectures, tool-calling frameworks, retrieval mechanisms, and context management strategies.
• Collaborate with product managers, architects, and engineering teams to translate business requirements into AI-driven solutions.
• Implement Retrieval-Augmented Generation (RAG), knowledge grounding, and context orchestration patterns.
• Define evaluation frameworks and prompt-testing methodologies to measure agent performance, quality, and reliability.
• Ensure AI solutions adhere to security, compliance, governance, and responsible AI standards.
• Support deployment, monitoring, troubleshooting, and continuous improvement of AI agents and MCP-enabled workflows.
• Contribute to architecture reviews, technical design documentation, and engineering best practices for AI platforms.

Required Skills

• Experience with Large Language Models, including OpenAI, Azure OpenAI, Anthropic, Gemini, or equivalent.
• Strong understanding of prompt engineering, AI agent frameworks, and conversational AI systems.
• Experience building Agentic AI applications using Semantic Kernel, LangChain, LangGraph, AutoGen, CrewAI, or similar frameworks.
• Hands-on experience with MCP servers, tool integration, API orchestration, and enterprise system connectivity.
• Proficiency in Python, TypeScript, or similar programming languages.
• Familiarity with RAG architectures, vector databases, embeddings, and knowledge retrieval systems.
• Understanding of cloud platforms such as Azure AI Foundry, Azure OpenAI, AWS Bedrock, or Google Vertex AI.
• Strong problem-solving, analytical, and collaboration skills.

Preferred Qualifications

• Experience building enterprise copilots, AI assistants, or autonomous agent ecosystems.
• Knowledge of AI governance, responsible AI, and security best practices.
• Experience integrating AI agents with healthcare, health records, or regulated industry systems.

Skills

Mandatory Skills:

• Agentic Framework
• GCP Gemini
• GCP Vertex AI
• Python AI
• Vector Databases and Embedding

Good-to-Have Skills:

• Fine-tuning Large Language Models
• Python API (for LangChain/LlamaIndex)
• TypeScript