(*Note: This is a requirement for one of Uplers' client - Orfiq AI Solutions Ltd)
What do you need for this opportunity?
Must have skills required:
Python, FastAPI, LangChain, LangGraph, Pydantic AI
Orfiq AI Solutions Ltd is Looking for:
Orfiq AI Solutions is building
iCAMS
(Intelligent Central Academic Management System) — an AI-first SaaS platform for medical, dental, and allied health education institutions globally. As a
Generative AI Engineer
, you will take ownership of the full AI engineering lifecycle, scaling existing agentic and RAG pipelines from prototype to enterprise grade while building new LLM-powered workflows that power the product's core capabilities.
Responsibilities
- Design, build, and scale multi-agent LLM systems using Pydantic AI or equivalent agentic frameworks
- Maintain and evolve RAG pipelines (document-level and chunk-level)
powered by Astra DB and Neo4j curriculum knowledge graphs
- Build and maintain FastAPI-based AI microservices deployed on Azure (Azure OpenAI, Azure Foundry, Azure Container Apps)
- Develop multimodal AI workflows that process and reason over images, videos, and documents alongside text
- Own the AI workflow deployment lifecycle in close collaboration with the DevOps engineer
- Contribute to recent product areas including LLM Wiki / knowledge repository and intelligent calendar systems
- Establish data archival strategies, token usage monitoring, and production-grade reliability for all AI components
- Work in an agile environment with cross-functional global teams
Must-Have Requirements
- 2+ years of hands-on Generative AI application development — not traditional ML/DS with a recent pivot
- Proven experience building multi-agent LLM systems using any major framework (Pydantic AI, LangGraph, LangChain, Google ADK, Claude SDK, or
📌 Generative AI Engineer (India)
🏢 Uplers
📍 India
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