Lead AI Engineer

Dear Candidate,

We have an immediate requirement for Lead AI Engineer and Senior AI Engineer (Agentic AI).

Position: Lead AI Engineer / Senior AI Engineer (Agentic AI)

Key Skills (Mandatory)

1. Agentic AI Development & LLM Integration

• LangChain, LangGraph (LangQ), Semantic Kernel
• AI Agents & Multi-Agent Workflows
• LLM Integration, Prompt Engineering
• Vector Databases, Embeddings
• RAG Pipelines & Knowledge Retrieval

2. Full Stack Engineering & Cloud-Native Development

• Python, JavaScript/TypeScript, C#, or Java
• FastAPI, Flask, Node.js, React, Angular
• API Development & Microservices
• Cloud-Native Application Development
• System Integrations & Performance Optimization

3. Azure AI & Healthcare Systems Integration

• Microsoft AI Foundry
• Azure OpenAI Services
• Azure Functions, App Services, AKS
• Azure AI Search, Cosmos DB
• Epic, FHIR, HL7 Integrations
• HIPAA-Compliant Solution Design

Key Responsibilities

• Build AI agents and multi-agent orchestration solutions using LangChain, LangGraph, Semantic Kernel, or equivalent frameworks.
• Design and integrate LLMs, vector stores, embeddings, and RAG-based architectures.
• Develop end-to-end applications, APIs, and microservices supporting AI-powered workflows.
• Deploy and manage scalable AI solutions using Azure AI Foundry, Azure OpenAI, AKS, and related Azure services.
• Integrate AI solutions with healthcare ecosystems including Epic, FHIR APIs, HL7 events, patient engagement platforms, and operational systems.
• Implement secure, scalable, and production-grade cloud architectures with CI/CD, monitoring, and governance.
• Collaborate with architects, product teams, and clinical stakeholders to deliver business-critical AI solutions.

Required Qualifications

• Senior AI Engineer: 5-8 Years of experience.
• Lead AI Engineer: 8-12+ Years of experience.
• Strong hands-on experience in Agentic AI development using LangChain, LangGraph, Semantic Kernel, or similar frameworks.
• Expertise in Python and modern full-stack development technologies.
• Experience with Azure OpenAI, AI Foundry, Azure Functions, AKS, Azure AI Search, and cloud-native solutions.
• Strong knowledge of APIs, Microservices, Vector Databases, Embeddings, and RAG frameworks.
• Experience designing scalable and secure enterprise applications.

Preferred Qualifications

• Healthcare, Clinical, or Patient Engagement domain experience.
• Epic, FHIR, HL7, Cerner integration experience.
• MLOps, Prompt Engineering, and Agent Lifecycle Management.
• Docker, Kubernetes, Azure DevOps, GitHub Actions.
• OAuth, RBAC, API Security, HIPAA Compliance.

Key Attributes

• Strong problem-solving and debugging skills.
• Passion for AI, Agentic Automation, and Emerging Technologies.
• Ability to work in fast-paced product environments.
• Excellent stakeholder management and communication skills.

If you are interested, please share your resume with below details to proceed further [email removed]

Total Experience:

Relevant Experience:

CTC:

ECTC:

Notice Period: