AI Engineer

KADIT Innovations; India; On-site; INR 1,300,000 - 2,100,000; Full time

Job summary

KADIT Innovations in India seeks an AI/ML engineer to develop and optimize AI agents using modern frameworks and Google Vertex AI, building end-to-end agentic solutions.

You will collaborate with cross-functional teams to deploy models, integrate with enterprise APIs, and monitor performance, applying prompt engineering and robust evaluation to improve agent outputs, scalability, and reliability.

Qualifications

• 2–3 years of hands-on experience in AI/ML development.
• Strong experience in AI Agents development.
• Hands-on experience with Google Vertex AI.
• Proficiency in Python and common AI/ML libraries.
• Good understanding of LLMs, prompt engineering, and agentic architectures.
• Experience with APIs, cloud services, and model deployment.

Responsibilities

• Develop and optimize AI Agents using modern frameworks and Google Vertex AI.
• Build, train, and deploy machine learning models and agentic workflows.
• Integrate AI agents with enterprise systems and APIs.
• Collaborate with cross-functional teams to deliver scalable AI solutions.
• Monitor, fine-tune, and improve agent performance.

Skills

AI/ML development

AI Agents development

Google Vertex AI

Python

LLMs & prompt engineering

APIs & cloud deployment

Education

B.E./B.Tech in CS/AI/IT

B.Sc./M.Sc. in CS/Data Science/AI

M.E./M.Tech in AI/ML/CS

Tools

LangChain

LlamaIndex

Vector databases

Job description

• Develop and optimize AI Agents using modern frameworks and Google Vertex AI.
• Build, train, and deploy machine learning models and agentic workflows.
• Integrate AI agents with enterprise systems and APIs.
• Collaborate with cross-functional teams to deliver scalable AI solutions.
• Monitor, fine-tune, and improve agent performance.

Required Skills

• 2–3 years of hands-on experience in AI/ML development.
• Strong experience in AI Agents development.
• Hands-on experience with Google Vertex AI.
• Proficiency in Python and common AI/ML libraries.
• Good understanding of LLMs, prompt engineering, and agentic architectures.
• Experience with APIs, cloud services, and model deployment.

Nice to Have Skills

• Experience with LangChain, LlamaIndex, or similar agent frameworks.
• Knowledge of MLOps and vector databases.

Educational Requirements

B.E./B.Tech in Computer Science / Artificial Intelligence / Machine Learning / Information TechnologyB.Sc./M.Sc. in Computer Science / Data Science / Artificial IntelligenceM.E./M.Tech in AI/ML, Computer Science, or related disciplines