AI Engineer

Experience: 5–7 Years

Title: AI Engineer

Role Overview

As an AI Engineer, you will build and deploy GenAI-enabled applications by integrating LLMs into real-world systems. You will work hands‑on across backend services, AI orchestration, APIs, and cloud deployments.

Key Responsibilities
Build GenAI-powered applications (chatbots, copilots, AI assistants, AI-enabled workflows)
Integrate LLMs (OpenAI / Azure OpenAI / Anthropic / OSS models) into applications
Develop backend services using Python / FastAPI / Flask / Node.js
Implement RAG pipelines using vector databases and embeddings
Build prompt pipelines, tool calling, and multi-step LLM workflows
Deploy AI services on Azure / AWS / GCP
Monitor performance, latency, and cost of GenAI systems
Work closely with frontend, data,



and cloud teams

Required Skills
5+ years overall experience in software / application development
Solid Python (mandatory)
Solid backend development experience (APIs, microservices)
Solid hands-on experience in Generative AI & LLMs
Experience with:
LangChain / LangGraph / Similar frameworks
Vector DBs (Pinecone, FAISS, Weaviate, pgvector)
Understanding of REST, authentication, and app security
Experience deploying applications on cloud

Positive to Have
Frontend exposure (React / Angular)
CI/CD, Docker, Kubernetes
AI evaluation & observability practices

📌 Ai Engineer Hyderabad
🏢 Anblicks
📍 Hyderabad