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
Strong
Python
(mandatory)
Solid backend development experience (APIs, microservices)
Strong 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
Good to Have
Frontend exposure (React / Angular)
CI/CD, Docker, Kubernetes
AI evaluation & observability practices
