AI Engineer

Job Title: AI Engineer (LLMs | MCP | RAG | Agentic AI)

Client: HCSC (Healthcare)



Location: Remote



Job Type: Contract



Experience: 5+ Years

Job Summary

We are seeking experienced AI Engineers with strong expertise in Large Language Models (LLMs), Model Context Protocol (MCP), Retrieval-Augmented Generation (RAG), Python, Prompt Engineering, and Agentic AI . The ideal candidate will design and develop enterprise-grade AI applications, integrate LLMs with enterprise systems, build intelligent AI agents, and deliver scalable AI solutions using leading cloud AI platforms. Experience in Healthcare , Contact Center AI , and multi-agent architectures is highly preferred.

Must-Have Skills

• Large Language Models (LLMs)
• Model Context Protocol (MCP)
• Retrieval-Augmented Generation (RAG)
• Python
• Prompt Engineering
• Agentic AI Development

Preferred Skills

• Contact Center AI Solutions
• Azure OpenAI
• AWS Bedrock
• Google Vertex AI
• AI Application Architecture
• REST API Integration

Nice-to-Have Skills

• Healthcare Domain Experience
• Multi-Agent Frameworks
• Vector Databases (Pinecone, ChromaDB, FAISS, Weaviate)
• Conversational AI Platforms

Key Responsibilities

• Design, develop, and deploy enterprise AI applications using Large Language Models (LLMs).
• Build intelligent AI agents using Model Context Protocol (MCP) , Agentic AI frameworks, and multi-agent orchestration.
• Develop Retrieval-Augmented Generation (RAG) pipelines using vector databases and enterprise knowledge sources.
• Engineer high-quality prompts and optimize AI workflows for accuracy, performance, latency, and cost.
• Develop scalable Python applications for AI services, APIs, automation, and integrations.
• Integrate AI solutions with enterprise applications, Contact Center platforms, and cloud services.
• Build and optimize AI applications using Azure OpenAI, AWS Bedrock, or Google Vertex AI.
• Design and implement REST APIs for AI-powered services and enterprise integrations.
• Collaborate with business stakeholders, architects, and engineering teams to translate business requirements into AI solutions.
• Perform AI model evaluation, testing, monitoring, debugging, and continuous optimization.
• Follow best practices for Responsible AI, AI governance, security, and enterprise deployment.

Required Qualifications

• 5+ years of software engineering experience with strong expertise in AI application development.
• Hands-on experience with Large Language Models (LLMs).
• Experience implementing Model Context Protocol (MCP) for AI agent integration.
• Strong expertise in Retrieval-Augmented Generation (RAG) architectures.
• Advanced Python programming skills.
• Experience with Prompt Engineering and LLM optimization.
• Experience building Agentic AI applications and autonomous workflows.
• Strong understanding of REST APIs and enterprise application integration.
• Excellent analytical, problem-solving, and communication skills.

Preferred Qualifications

• Experience with Azure OpenAI, AWS Bedrock, or Google Vertex AI.
• Experience building Contact Center AI or Conversational AI solutions.
• Knowledge of AI application architecture and scalable enterprise AI platforms.
• Experience with multi-agent frameworks such as LangChain, LangGraph, AutoGen, CrewAI, or similar.
• Experience with vector databases including Pinecone, ChromaDB, FAISS, Weaviate, or Milvus.
• Healthcare domain experience, including HIPAA-compliant AI solutions.
• Experience deploying AI applications on Azure, AWS, or GCP cloud platforms.