Hiring For Gen AI +LLM

Glauben Technologies; Hyderabad, Pune District, Bengaluru; Hybrid; INR 1,200,000 - 2,400,000; Full time

Job summary

Glauben Technologies is seeking a skilled AI engineer in Hyderabad to leverage Python and cutting-edge generative AI techniques. You will design and implement systems using LangChain, RAG, and vector databases, building scalable REST APIs with FastAPI/Flask.

The role requires hands-on work with multiple model families (OpenAI, Azure OpenAI, Gemini, Anthropic, Llama, Mistral) and a strong focus on embeddings, evaluation, and guardrails to ensure robust, safe AI solutions.

Qualifications

• Strong programming experience in Python.
• Hands-on with Generative AI and Large Language Models.
• Experience with OpenAI / Azure OpenAI / Gemini / Anthropic / Llama / Mistral or similar models.
• Strong knowledge of Prompt Engineering.
• Hands-on with RAG architecture.
• Experience with LangChain, LlamaIndex, Semantic Kernel or equivalents.
• Experience with vector databases such as Pinecone, FAISS, Weaviate, Chroma, Milvus, or Azure AI Search.
• Understanding of embeddings, vector search and semantic search.
• Experience developing REST APIs using FastAPI/Flask.
• Knowledge of AI agents, tool calling and function calling.
• Understanding of LLM evaluation, hallucination reduction and guardrails.
• Knowledge of SQL and NoSQL databases.
• Experience with Git, Docker and CI/CD.

Skills

Python

Generative AI

LLMs

Prompt Engineering

RAG architecture

LangChain

LlamaIndex

Semantic Kernel

Vector databases

Pinecone

FAISS

Weaviate

Chroma

Milvus

Azure AI Search

embeddings

vector search

REST APIs

FastAPI

Flask

AI agents

tool calling

function calling

SQL

NoSQL

Git

Docker

CI/CD

Tools

OpenAI

Azure OpenAI

Gemini

Anthropic

Llama

Mistral

Job description

Role & responsibilities

Required Technical Skills

• Strong programming experience in Python.
• Hands-on experience with Generative AI and Large Language Models.
• Experience with OpenAI / Azure OpenAI / Gemini / Anthropic / Llama / Mistral or similar models.
• Strong knowledge of Prompt Engineering.
• Hands-on experience with RAG architecture.
• Experience with LangChain, LlamaIndex, Semantic Kernel or equivalent frameworks.
• Experience with vector databases such as Pinecone, FAISS, Weaviate, Chroma, Milvus, or Azure AI Search.
• Strong understanding of embeddings, vector search and semantic search.
• Experience developing REST APIs using FastAPI/Flask.
• Knowledge of AI agents, tool calling and function calling.
• Understanding of LLM evaluation, hallucination reduction and guardrails.
• Knowledge of SQL and NoSQL databases.
• Experience with Git, Docker and CI/CD.