Gen Ai Python, Azure, LLM, RAG Eng ( 4 Yrs Hyderbad)

About The Opportunity
A fast-scaling tech innovator in the Enterprise AI & Cloud Engineering space, we build and deploy production-grade Generative AI solutions powered by large language models (LLMs), Retrieval-Augmented Generation (RAG), and cloud-native Python stacks on Microsoft Azure. Our team ships scalable, secure, and low-latency AI services that drive intelligent automation, conversational experiences, and decision intelligence for global clients—directly from Hyderabad.
Role & Responsibilities

• Design, build, and deploy end-to-end GenAI pipelines—from data ingestion and vector DB integration to RAG orchestration and LLM inference on Azure.
• Develop Python-based backend services integrating LangChain, FAISS/Chroma, and OpenAI/Azure OpenAI APIs for enterprise-grade AI workflows.
• Optimize and scale LLM inference pipelines using Azure Kubernetes Service (AKS), Azure Functions, or VMs to ensure low-latency, high-throughput production delivery.
• Implement and maintain RAG architecture patterns with hybrid search, reranking, and context-aware prompt engineering for domain-specific accuracy.
• Collaborate with data scientists to evaluate model performance, reduce hallucination, and embed guardrails, caching, and observability into AI services.
• Own CI/CD, monitoring (Azure Monitor / Grafana), and auto-scaling configurations to ensure service reliability, performance, and cost-efficiency.
  

Skills & Qualifications

Must-Have

• Python
• Azure OpenAI Service
• LangChain
• RAG Architecture
• Vector Databases (FAISS, Chroma, Pinecone)
• Azure Kubernetes Service (AKS)
• CI/CD (Azure DevOps / GitHub Actions)
• LLM fine-tuning or prompt engineering
  

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Get Hired

Preferred

• Experience with Azure AI Studio or Azure Machine Learning
• Familiarity with LlamaIndex or Haystack frameworks
• Knowledge of MLOps best practices or MLflow
  

Benefits & Culture Highlights

• Work onsite in Hyderabad with top-tier AI infrastructure and direct mentorship from LLM architecture leads.
• Fast-track exposure to client deployments in BFSI, healthcare, and logistics sectors using cutting-edge Azure AI tools.
• Opportunity to contribute to open-source GenAI tooling and publish technical blogs as part of company-wide knowledge sharing.
  

Skills: genai,python,azure