AI Engineer

Intellectt Inc; Hyderabad; On-site; INR 167,400 - 279,000; Full time

Job summary

A software development company is seeking a Mid-Senior AI Engineer to design and deploy AI applications. The role requires strong Python and FastAPI skills, along with experience in building LLM-based systems and RAG pipelines. Join a dynamic team to work with cutting-edge technologies and enhance your career in AI.

Qualifications

• 3–5 years of software engineering experience with strong Python skills.
• Proven experience with FastAPI, LLMs, and LangGraph/LangChain.
• Working knowledge of RAG, vector stores, and ML model integration.
• Familiar with Git, Docker, and testing frameworks.

Responsibilities

• Build production-grade LLM-based systems using OpenAI, Anthropic, Gemini, or Llama APIs.
• Design FastAPI services with dependency injection, authentication, and rate-limiting.
• Implement Retrieval-Augmented Generation (RAG) pipelines with embedding models and hybrid search.
• Develop agentic workflows using LangGraph and LangChain.
• Work with vector databases (FAISS, Pinecone) and preprocess documents (PDF, HTML).
• Collaborate using Git, Docker, and CI/CD workflows.
• Write unit and integration tests for ML and API components.

Skills

Python

FastAPI

LLMs

LangGraph

LangChain

Git

Docker

RAG

ML model integration

Testing frameworks

Tools

FAISS

Pinecone

Job description

We’re looking for an AI Engineer with strong software engineering foundations and hands‑on experience in LLMs, Agentic AI, and FastAPI. The ideal candidate will design, build, and deploy intelligent, scalable AI applications that leverage LangGraph, LangChain, and modern RAG pipelines.

Responsibilities

• Build production‑grade LLM‑based systems using OpenAI, Anthropic, Gemini, or Llama APIs.
• Design FastAPI services with dependency injection, authentication, and rate‑limiting.
• Implement Retrieval‑Augmented Generation (RAG) pipelines with embedding models and hybrid search.
• Develop agentic workflows using LangGraph and LangChain.
• Work with vector databases (FAISS, Pinecone) and preprocess documents (PDF, HTML).
• Collaborate using Git, Docker, and CI/CD workflows.
• Write unit and integration tests for ML and API components.

Requirements

• 3–5 years of software engineering experience with strong Python skills.
• Proven experience with FastAPI, LLMs, and LangGraph/LangChain.
• Working knowledge of RAG, vector stores, and ML model integration.
• Familiarity with Git, Docker, and testing frameworks.

Seniority level

Mid‑Senior level

Employment type

Full‑time

Industries

Software Development and Engineering Services

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