AI Engineer

Overview

We are looking for a passionate AI Engineer with around 2 years of hands-on experience in building, fine-tuning. The ideal candidate will work on developing intelligent features, integrating LLMs, building pipelines, and supporting end-to-end AI solution delivery.

Responsibilities

• Develop, fine-tune AI models for classification, prediction, NLP, and automation use cases.
• Work with LLMs and Generative AI APIs (OpenAI, Azure OpenAI, HuggingFace) to build smart features and chat-based solutions.
• Preprocess, clean, and transform datasets for model training and evaluation.
• Implement model evaluation techniques, track performance, and optimize models for accuracy and efficiency.
• Integrate AI models into production systems via REST APIs or microservices.
• Collaborate with backend, data, and product teams to convert business requirements into AI solutions.
• Conduct research on new AI techniques, tools, and frameworks to improve solution capabilities.
• Prepare documentation, experiment logs, and model reports.
• Assist in deploying models with CI/CD pipelines and containerization (Docker).
  
  

• 1–2 years of experience in IL engineering role.
• Good understanding of Python, LangGraph, LangChain, A2A, MCP
• Experience with LLMs, prompt engineering, RAG, vector databases, or Generative AI APIs.
• Hands-on experience with APIs, JSON, and integrating ML models into applications.
• Good understanding of SQL and data modeling.
• Exposure to cloud platforms is a plus (AWS, GCP, Azure).
• Strong analytical thinking, problem-solving, and eagerness to learn new AI technologies.