Ai Engineer

Radicle Software; Gurugram District; On-site; INR 1,000,000 - 1,500,000; Full time

Job summary

Radicle Software is looking for AI Engineers for their team in Gurugram, India. The role involves designing, developing, and deploying AI models for production, as well as building Generative AI applications and APIs.

Ideal candidates should have 2-4 years of experience in AI Engineering, strong skills in Python, and exposure to Large Language Models. The position requires staying updated with advancements in AI and working closely with US clients.

Qualifications

• 2-4 years of relevant experience in Artificial Intelligence Engineering.
• Strong understanding of Agentic AI and Generative AI.
• Proficient in Python and experienced with ML/AI technologies.

Responsibilities

• Design and deploy AI models in production environments.
• Build Generative AI applications, APIs, and chatbots.
• Conduct prompt engineering to enhance model outputs.

Skills

Artificial Intelligence Engineering

Python

Generative AI

Large Language Modeling

Data preprocessing

Tools

pandas

NumPy

Job description

We are currently looking for Ai engineers to join our team who are smart, genuinely curious about technologies and motivated. You will be responsible to work with US clients.

Role & responsibilities

• Design, develop, and deploy AI models for production environments.
• Build and integrate Generative AI and Large Language Model (LLM) applications.
• Develop AI-powered APIs, chatbots, recommendation systems, and automation workflows.
• Design and test prompts for various tasks (prompt engineering) to improve model outputs.
• Write code to build ML/AI pipelines, evaluate model performance, and preprocess data.
• Stay updated with the latest advancements in AI, ML, and Generative AI technologies.

Job requirements

• 2-4 years of experience in Artificial Intelligence Engineering or a related field.
• Strong understanding of Agentic AI, Generative AI, Large Language Modeling.
• Proficient in Python and libraries such as pandas, NumPy etc.
• Exposure to LLMs (e.g., GPT, LLaMA, Mistral) through personal or academic projects.