AI Engineer

Role Overview

We are seeking an experienced AI Engineer to design, develop, and deploy AI-powered solutions that solve complex business challenges.

Key Responsibilities

• Design, build, and deploy AI/ML and Generative AI solutions.
• Develop and optimize LLM-based applications using OpenAI, Azure OpenAI, or similar platforms.
• Build RAG (Retrieval-Augmented Generation) solutions using vector databases.
• Fine-tune, evaluate, and monitor machine learning models.
• Develop AI-powered chatbots, copilots, and intelligent automation solutions.
• Integrate AI services with enterprise applications using APIs and microservices.
• Work with structured and unstructured data sources for model training and inference.
• Collaborate with business stakeholders, architects, and developers to translate requirements into AI solutions.
• Ensure AI solutions are scalable, secure, and production-ready.
• Stay updated with emerging AI technologies and industry trends.

Required Skills

• Strong proficiency in Python.
• Experience with Machine Learning frameworks such as Scikit-learn, TensorFlow, or PyTorch.
• Hands-on experience with Generative AI and Large Language Models (LLMs).
• Experience with Azure OpenAI, OpenAI APIs, AWS Bedrock, or Google Vertex AI.
• Knowledge of LangChain, LlamaIndex, Semantic Kernel, or similar frameworks.
• Experience with Vector Databases such as Pinecone, FAISS, Azure AI Search, or ChromaDB.
• Understanding of prompt engineering, RAG architecture, and model evaluation techniques.
• Experience with REST APIs, Docker, CI/CD pipelines, and cloud platforms (Azure preferred).
• Familiarity with data engineering concepts and SQL/NoSQL databases.