Role & responsibilities

• Build scalable backend APIs and microservices using Node.js, Python, Flask, and FastAPI.
• Integrate LLMs, RAG pipelines, Vector Databases, AI/ML models, and intelligent agents into production applications.
• Develop real-time AI solutions including chatbots, conversational interfaces, document processing, recommendation engines, and model output visualization.
• Integrate AI services using REST APIs, WebSockets, and gRPC.
• Build reusable UI components for prompt engineering, model monitoring, and Human-in-the-Loop workflows.
• Work with Docker, Kubernetes, CI/CD pipelines, and cloud-native infrastructure for deployment and scalability.
• Collaborate with AI/ML teams to integrate models, context pipelines, evaluation workflows, and enterprise automation tools such as UiPath.

Preferred candidate profile

- Robust backend development experience using Python (FastAPI/Flask) and/or Node.js.
- Practical experience integrating LLMs, RAG pipelines, Vector Databases, AI Agents, and ML models into production applications.




- Experience building AI-powered applications such as chatbots, conversational interfaces, document processing systems, recommendation engines, or intelligent agents.
- Hands-on experience with REST APIs, WebSockets, or gRPC for AI/ML model integration.
- Strong understanding of Docker, Kubernetes, CI/CD, and cloud deployments.
- Experience with unit, integration, and end-to-end testing.
- Exposure to UiPath/RPA or enterprise workflow automation would be an added advantage.
- Should have experience collaborating with AI/ML engineers and translating model capabilities into user-facing applications.

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📌 Fullstack AI Engineer (Noida)
🏢 Innodata India
📍 Noida