Hiring For Gen AI Engineer

Glauben Technologies; Dadri, Pune District, Bengaluru; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

Glauben Technologies in India is seeking a skilled AI software engineer to design and implement Generative AI solutions, focusing on LLMs, RAG, and vector retrieval. You will work on end-to-end pipelines and integrate with leading frameworks.

The role requires strong Python, experience with LangChain or LlamaIndex, and deployment using Docker. You will collaborate with cross-functional teams to deliver scalable AI applications while ensuring responsible AI practices.

Qualifications

• 5+ years of overall software development or IT experience.
• Strong programming skills in Python.
• Hands-on experience developing Generative AI applications using LLMs.
• Strong understanding of RAG architecture, embeddings, vector search, and semantic retrieval.
• Experience with LangChain, LlamaIndex, or similar LLM orchestration frameworks.
• Experience with prompt engineering and LLM API integration.
• Knowledge of REST APIs, FastAPI or Flask, and microservices.
• Experience with vector databases such as FAISS, Pinecone, Chroma, or Azure AI Search.
• Familiarity with Git, Docker, and application deployment.
• Understanding of model evaluation, hallucination mitigation, and responsible AI.

Skills

Python programming

Generative AI development

RAG architecture and vector search

LLM orchestration frameworks

Prompt engineering

REST APIs & microservices

Git

Docker deployment

Model evaluation & responsible AI

Tools

LangChain

LlamaIndex

FAISS

Pinecone

Chroma

Azure AI Search

FastAPI/Flask

Docker

Job description

Required Skills

• 5+ years of overall software development or IT experience.
• Strong programming skills in Python.
• Hands-on experience developing Generative AI applications using LLMs.
• Strong understanding of RAG architecture, embeddings, vector search, and semantic retrieval.
• Experience with LangChain, LlamaIndex, or similar LLM orchestration frameworks.
• Experience with prompt engineering and LLM API integration.
• Knowledge of REST APIs, FastAPI or Flask, and microservices.
• Experience with vector databases such as FAISS, Pinecone, Chroma, or Azure AI Search.
• Familiarity with Git, Docker, and application deployment.
• Understanding of model evaluation, hallucination mitigation, and responsible AI.