AI Engineer

iTack Solutions is seeking an AI Engineer to design, build, and scale the AI agent layer for our healthcare platform. This role will focus on developing production-grade AI agents for use cases such as clinical documentation, summary and workflow automations. The ideal candidate has strong backend engineering skills, hands-on experience with LLMs and agent frameworks, and the ability to build secure, reliable systems for real-world environments.

Key Responsibilities

• Design and develop the AI agent layer for our healthcare platform
• Build and maintain agent services using Python and modern backend frameworks
• Implement automation workflows within ERP
• Integrate LLMs, retrieval systems, vector databases, and orchestration frameworks into production systems
• Connect AI agents with core product APIs, sales data, billing workflows, and communication channels
• Develop safe, auditable, and scalable AI services with human-in-the-loop approval flows
• Optimize prompts, tool calling, retrieval quality, and agent performance
• Work closely with product, engineering and business teams to deliver practical AI features

Required Qualifications

• Strong experience in Python backend development
• Experience building applications with LLMs, RAG, or AI agents
• Hands-on experience with tools such as LangGraph, LangChain, FastAPI, vector databases, and workflow orchestration systems
• Good understanding of APIs, microservices, PostgreSQL, and cloud/container-based deployment
• Experience integrating external APIs and building reliable backend services
• Experience with Docker, Kubernetes, observability, and production AI systems
• Experience with LiteLLM, vLLM, Temporal, pgvector, Qdrant, or similar tools
• Strong problem-solving skills and ability to work independently in a fast-moving product environment

Job Type: Full-time

Application Question(s):

• What is your current salary?
• What is your expected salary?
• What is your notice period?
• How many AI projects have you completed?
• Have you got Experience building applications with LLMs, RAG, or AI agents?(specify anyone)
• Have you got Hands-on experience with tools such as LangGraph, LangChain, FastAPI, vector databases, and workflow orchestration systems? (specify please)

Work Location: In person