AI Prompt Engineer Agentic AI Engineer

Arcturus Consulting Services Inc.; Chennai; Remote; INR 900,000 - 1,600,000; Full time

Job summary

Arcturus Consulting Services Inc. is seeking a skilled AI Engineer to design, develop, and optimize prompts for LLMs and to build agentic solutions across enterprise systems. You will work on MCP integration, tool orchestration, and secure data access, driving autonomous agent capabilities.

Responsibilities include evaluating frameworks, implementing RAG, and ensuring security and governance. This role offers a 12-month contract with nationwide remote work across PAN India.

Qualifications

• Experience with LLMs (OpenAI, Azure OpenAI, Anthropic, Gemini or equivalent).
• Strong understanding of prompt engineering and AI agent frameworks.
• Experience building Agentic AI applications using Semantic Kernel, LangChain, LangGraph, AutoGen or CrewAI.
• Hands-on with MCP servers, tool integration, API orchestration and enterprise connectivity.
• Proficiency in Python or TypeScript.

Responsibilities

• Design, develop and optimize prompts for LLMs to improve accuracy.
• Build and configure Agentic AI solutions with planning and task execution capabilities.
• Develop MCP Model Context Protocol tools for secure discovery and interaction with enterprise APIs and data sources.
• Design agent architectures, toolcalling, retrieval and context management strategies.
• Collaborate with product managers, architects and engineering teams to translate requirements into AI solutions.
• Implement Retrieval Augmented Generation (RAG) knowledge grounding and context orchestration.
• Define evaluation frameworks and prompt testing to measure agent performance.
• Ensure AI solutions adhere to security, governance and responsible AI standards.
• Support deployment, monitoring and continuous improvement of AI agents and MCP-enabled workflows.
• Contribute to architecture reviews and engineering best practices for AI platforms.

Skills

Large Language Models

Prompt engineering

AI agent frameworks

MCP integration

Python/TypeScript

RAG knowledge

Cloud platforms

Analytical skills

Tools

Semantic Kernel

LangChain

LangGraph

AutoGen

CrewAI

Job description

JOB DESCRIPTION

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 multistep 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 toolcalling 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 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
  
• Handson 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 problemsolving 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
  

Contract Details

Duration: 12 Months
Location: PAN INDIA
Positions: 2