Description

Role Overview

Seeking an AI Automation Engineer with expertise in Python, LLM Orchestration, RAG Pipelines, Cloud Platforms, and Infrastructure Security. The role focuses on building secure AI powered automation solutions, intelligent assistants, and cloud native applications using modern AI frameworks and cloud technologies.

Key Responsibilities

• Develop AI powered automation solutions and REST APIs using Python, FastAPI, or Flask.
• Build and maintain LLM applications using LangChain, LangGraph, LlamaIndex, or Semantic Kernel.
• Design and optimize RAG pipelines with embeddings, vector databases, semantic search, and retrieval strategies.
• Integrate LLM APIs (Azure OpenAI, OpenAI, Bedrock, etc.) into enterprise applications.
• Deploy AI workloads on Azure, AWS, or GCP using cloud native and serverless services.
• Implement secure authentication, RBAC, secrets management, logging, monitoring, and vulnerability controls.
• Support CI/CD, observability, testing, and production monitoring for AI applications.

Mandatory Skills

• Python Development
• FastAPI / Flask
• LangChain / LangGraph / LlamaIndex / Semantic Kernel
• LLM API Integration
• Prompt Engineering & Guardrails
• RAG Architecture & Vector Databases
• Azure AI Search / Pinecone / FAISS / Qdrant / OpenSearch
• REST APIs & Backend Development
• Azure / AWS / GCP
• Docker & Basic Kubernetes
• Git & CI/CD
• Infrastructure Security Fundamentals (IAM, RBAC, Encryption, Secrets Management)

Key Skills

Education

Any Graduate