Hiring For Agentic AI

Glauben Technologies; Hyderabad, Pune District, Bengaluru; Hybrid; INR 1,800,000 - 3,000,000; Full time

Job summary

Glauben Technologies is seeking an experienced AI engineer to design and develop AI agents and multi-agent systems for enterprise use cases. You will build agentic workflows with LangChain, LangGraph, AutoGen, CrewAI and similar technologies, and develop LLM-powered applications using OpenAI, Azure OpenAI, Gemini, Claude or equivalent models.

You will implement RAG pipelines with vector databases, integrate AI agents with APIs and enterprise systems, and collaborate with Data Scientists, ML

Qualifications

• Strong programming experience in Python.
• Hands-on experience with Generative AI and Large Language Models (LLMs).
• Strong understanding of Agentic AI concepts and autonomous AI workflows.
• Experience with LangChain / LangGraph / AutoGen / CrewAI or similar frameworks.
• Strong knowledge of RAG, embeddings, vector databases, semantic search, and knowledge retrieval.
• Experience with prompt engineering and LLM orchestration.
• Experience integrating REST APIs, tools, function calling, and enterprise systems.
• Knowledge of FastAPI, Flask, or similar Python frameworks.
• Experience with PostgreSQL, MongoDB, SQL Server or similar databases.
• Experience with vector databases such as Pinecone, FAISS, Chroma, Weaviate, Milvus or equivalent.
• Understanding of ML/AI lifecycle, model evaluation, monitoring, and deployment.
• Good understanding of cloud platforms such as AWS, Azure, or GCP.

Responsibilities

• Design and develop AI agents and multi-agent systems for enterprise use cases.
• Build agentic workflows using LangChain, LangGraph, AutoGen, CrewAI or similar frameworks.
• Develop LLM-powered applications using OpenAI, Azure OpenAI, Gemini, Claude or equivalent models.
• Implement RAG pipelines using vector databases and enterprise knowledge sources.
• Integrate AI agents with APIs, databases, enterprise applications, search engines, and external tools.
• Develop agent capabilities including planning, reasoning, memory, tool calling, task decomposition, and decision-making.
• Build prompt engineering strategies and optimize LLM responses for accuracy and reliability.
• Work with Python to develop scalable AI services and backend applications.
• Implement evaluation, monitoring, guardrails, observability, and responsible AI practices.
• Fine-tune or customize models where required and optimize inference performance.
• Deploy AI solutions on AWS, Azure, or GCP using containers and CI/CD pipelines.
• Collaborate with Data Scientists, ML Engineers, Software Engineers, Architects, and business teams.
• Troubleshoot and improve the performance, scalability, security, and reliability of AI applications.

Skills

Python

Generative AI & LLMs

Agentic AI concepts

LangChain / LangGraph / AutoGen / Crew

RAG / embeddings / vector databases /

Tools

LangChain

LangGraph

AutoGen

CrewAI

Pinecone

FAISS

Chroma

Weaviate

Milvus

PostgreSQL

MongoDB

SQL Server

AWS

Azure

GCP

Job description

Key Responsibilities

• Design and develop AI agents and multi-agent systems for enterprise use cases.
• Build agentic workflows using frameworks such as LangChain, LangGraph, AutoGen, CrewAI or similar technologies.
• Develop LLM-powered applications using OpenAI, Azure OpenAI, Gemini, Claude or equivalent models.
• Implement RAG pipelines using vector databases and enterprise knowledge sources.
• Integrate AI agents with APIs, databases, enterprise applications, search engines, and external tools.
• Develop agent capabilities including planning, reasoning, memory, tool calling, task decomposition, and decision-making.
• Build prompt engineering strategies and optimize LLM responses for accuracy and reliability.
• Work with Python to develop scalable AI services and backend applications.
• Implement evaluation, monitoring, guardrails, observability, and responsible AI practices.
• Fine-tune or customize models where required and optimize inference performance.
• Deploy AI solutions on AWS, Azure, or GCP using containers and CI/CD pipelines.
• Collaborate with Data Scientists, ML Engineers, Software Engineers, Architects, and business teams.
• Troubleshoot and improve the performance, scalability, security, and reliability of AI applications.

Required Skills

• Strong programming experience in Python.
• Hands-on experience with Generative AI and Large Language Models (LLMs).
• Strong understanding of Agentic AI concepts and autonomous AI workflows.
• Experience with LangChain / LangGraph / AutoGen / CrewAI or similar frameworks.
• Strong knowledge of RAG, embeddings, vector databases, semantic search, and knowledge retrieval.
• Experience with prompt engineering and LLM orchestration.
• Experience integrating REST APIs, tools, function calling, and enterprise systems.
• Knowledge of FastAPI, Flask, or similar Python frameworks.
• Experience with databases such as PostgreSQL, MongoDB, SQL Server or similar.
• Experience with vector databases such as Pinecone, FAISS, Chroma, Weaviate, Milvus or equivalent.
• Understanding of ML/AI lifecycle, model evaluation, monitoring, and deployment.
• Good understanding of cloud platforms such as AWS, Azure, or GCP.