AI Engineer

Role Overview

We are looking for an experienced AI Engineer with 2+ years of hands-on expertise in building AI-powered applications using Machine Learning, Generative AI, and Agentic AI. The ideal candidate should be passionate about developing intelligent solutions using Large Language Models (LLMs), AI agents, and modern AI frameworks to solve real-world business problems.

Responsibilities

• Design, develop, and deploy AI/ML and Generative AI applications.
• Build and implement Agentic AI solutions using AI agent frameworks.
• Develop intelligent applications using LLMs, RAG, and Prompt Engineering.
• Fine-tune and integrate LLMs for enterprise use cases.
• Build scalable APIs and deploy AI models in production environments.
• Collaborate with cross-functional teams to deliver AI-driven business solutions.
• Optimize AI models for performance, accuracy, and scalability.

Requirements

• 2+ years of experience in AI/ML development.
• Strong proficiency in Python.
• Hands-on experience with Machine Learning and Deep Learning.
• Experience in Generative AI (GenAI) and Large Language Models (LLMs).
• Experience building Agentic AI applications using LangGraph, CrewAI, or AutoGen.
• Strong knowledge of Prompt Engineering and Retrieval-Augmented Generation (RAG).
• Experience with LangChain, LlamaIndex, and AI orchestration frameworks.
• Hands-on experience with OpenAI, Azure OpenAI, or Hugging Face.
• Knowledge of TensorFlow, PyTorch, or Scikit-learn.
• Experience with Vector Databases (FAISS, Pinecone, ChromaDB, Milvus).
• Experience in developing REST APIs using FastAPI or Flask.
• Familiarity with SQL, Git, Docker, and cloud platforms (AWS, Azure, or GCP).

Skills

• Python
• LangChain
• PyTorch
• FastAPI
• Vector Databases

Benefits

• Paid sick time
• Provident Fund