About the Chance
A fast-scaling AI-first technology firm operating at the intersection of enterprise automation and generative intelligence, we build production-grade AI systems that drive decision intelligence, autonomous workflow orchestration, and human-AI collaboration for Fortune 500 clients. Our engineers ship scalable, responsible, and interpretable AI solutions—leveraging LLMs, RAG, and multi-agent frameworks—deployed across hybrid cloud environments.

Role & Responsibilities
Architect and deploy end-to-end AI systems—from data preprocessing to model serving—that scale to enterprise SLAs and real-time inference demands.
Design and optimize RAG pipelines and multi-agent architectures using LangChain, LlamaIndex, or equivalent frameworks for domain-specific knowledge extraction.
Integrate AI models into production services using FastAPI/Flask, containerize with Docker, and orchestrate via Kubernetes on AWS/Azure/GCP.




Collaborate with product and data science teams to define model evaluation metrics, drift detection, and human-in-the-loop feedback loops.
Implement prompt engineering, chain-of-thought orchestration, and output parsing strategies to improve accuracy and reliability of LLM responses.
Lead AI governance initiatives—model versioning, audit trails, cost monitoring, and explainability tooling—to ensure compliance and reproducibility.

Skills & Qualifications
Must-Have
LangChain
LlamaIndex
FastAPI
Docker
Kubernetes
AWS
LLM
Python
Preferred
MLflow
Argilla
Ray

Advantages & Culture Highlights
Hybrid work model with adaptable office days and remote flexibility across India.
Access to cutting-edge research and open-source tools with dedicated time for innovation sprints.
Performance-driven culture with annual learning stipends and certification support.

📌 Senior Ai Engineer Hyderabad
🏢 Granular Tek
📍 Hyderabad