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We are seeking an experienced AI Application Engineer with hands-on experience to develope scalable AI applications and integrating them with enterprise systems for our healthcare client in the US.

This role focuses on building production-ready AI applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, and enterprise integrations.

Key Responsibilities
- Design, develop, and deploy enterprise AI applications using Large Language Models (LLMs).
- Build intelligent AI assistants and automation solutions for engineering and operational workflows.
- Develop Retrieval-Augmented Generation (RAG) solutions using enterprise knowledge sources and internal documentation.
- Design and implement AI agents capable of performing multi-step workflows using APIs and external tools.
- Integrate AI applications with enterprise platforms, cloud services, databases, and REST APIs.
- Develop secure, scalable, production-ready AI solutions following enterprise security and governance standards.




- Evaluate and improve AI application quality through prompt engineering, retrieval optimization, model evaluation, and guardrails.
- Collaborate with cross-functional teams to identify and implement new AI use cases across cloud engineering, platform engineering, and security.

Required Qualifications

Software Engineering
- Bachelor's degree in Computer Science, Information Technology, Engineering, or equivalent practical experience.
- 5+ years of software engineering experience.
- Solid proficiency in Python.
- Experience building REST APIs using FastAPI or similar frameworks.
- Strong understanding of software design patterns and distributed systems.
- Experience with Git, automated testing, and CI/CD pipelines.
- Experience developing containerized applications using Docker.
- Familiarity with Kubernetes and cloud-native application development.

Generative AI (hands-on experience required)
- Large Language Models — Op

📌 AI Application Engineer (India)
🏢 Xsell Resources
📍 India