Hiring For Agentic AI Developer

Glauben Technologies; Dadri, Pune District, Bengaluru; Hybrid; INR 1,500,000 - 1,900,000; Full time

Job summary

Glauben Technologies seeks a skilled AI software engineer in Uttar Pradesh, Dadri. The role focuses on building state-of-the-art AI systems using Python, Generative AI, and LLMs. You will work with LangChain, LangGraph, AutoGen, and other tools to design agentic architectures and RAG-based applications.

Strong emphasis on prompt engineering, embeddings, vector databases, semantic search, APIs, and cloud deployment. You will collaborate on model evaluation and lifecycle practices.

Qualifications

• Proficient in Python programming for AI/ML workflows.
• Hands-on experience with Generative AI and large language models (LLMs).
• Strong understanding of agentic AI concepts and AI agent architecture.
• Experience with LangChain / LangGraph / AutoGen / CrewAI / Semantic Kernel.
• Experience building RAG-based applications.
• Knowledge of various foundation models (OpenAI, Azure OpenAI, Gemini, Claude, Llama etc.).
• Strong understanding of prompt engineering, embeddings, vector databases, and semantic search.
• Experience with REST APIs, function calling, tools, and API integrations.
• Knowledge of vector databases (Pinecone, FAISS, Chroma, Weaviate, Milvus).
• Experience with Git, Docker, CI/CD, and cloud deployment.
• Good understanding of AI/ML lifecycle and model evaluation.

Responsibilities

• Strong programming experience in Python.
• Hands‑on experience with Generative AI and LLMs.
• Understand agentic AI concepts and AI agent architecture.
• Experience with LangChain / LangGraph / AutoGen / CrewAI / Semantic Kernel.
• Experience building RAG‑based applications.
• Knowledge of multiple foundation models.
• Understanding of prompt engineering, embeddings, vector databases, semantic search.
• Experience with REST APIs, function calling, tools, and API integrations.
• Knowledge of vector databases (Pinecone, FAISS, Chroma, Weaviate, Milvus).
• Experience with Git, Docker, CI/CD, and cloud deployment.
• Good understanding of AI/ML lifecycle and model evaluation.

Skills

Python

Generative AI

LLMs

Agentic AI concepts

prompt engineering

embeddings

vector databases

semantic search

AI/ML lifecycle

model evaluation

Tools

LangChain

LangGraph

AutoGen

CrewAI

Semantic Kernel

Pinecone

FAISS

Chroma

Weaviate

Milvus

Git

Docker

CI/CD

Job description

Role & responsibilities

• Strong programming experience in Python.
• Hands‑on experience with Generative AI and Large Language Models (LLMs).
• Strong understanding of Agentic AI concepts and AI agent architecture.
• Experience with LangChain / LangGraph / AutoGen / CrewAI / Semantic Kernel.
• Experience building RAG‑based applications.
• Knowledge of OpenAI, Azure OpenAI, Gemini, Claude, Llama, or other foundation models.
• Strong understanding of prompt engineering, embeddings, vector databases, and semantic search.
• Experience with REST APIs, function calling, tools, and API integrations.
• Knowledge of vector databases such as Pinecone, FAISS, Chroma, Weaviate, or Milvus.
• Experience with Git, Docker, CI/CD, and cloud deployment.
• Good understanding of AI/ML lifecycle and model evaluation.