Gen AI Engineer

We are seeking a highly skilled and innovative AI Engineer to join our team and lead the development of intelligent AI agents and Retrieval-Augmented Generation (RAG)-based applications. This role is ideal for someone passionate about pushing the boundaries of applied AI, with hands-on experience in building scalable, production-grade Generative AI (GenAI) systems and advanced Copilot Studio agent capabilities.

Key Responsibilities:

Demonstrate advanced programming expertise, particularly in Python, with deep proficiency in AI-centric libraries such as TensorFlow, PyTorch, and Hugging Face Transformers.

Architect and implement Retrieval-Augmented Generation (RAG) pipelines to enhance model performance using external knowledge sources, including document chunking, embedding generation, and retrieval systems.

Design, develop, and deploy Custom AI agents capable of autonomous decision-making and task execution using LLMs and multi-modal models.

Implement and manipulate complex algorithms essential for developing and optimizing generative AI models.

Manage data pipelines involving data pre-processing, augmentation, and synthetic data generation to enhance model training and performance.

Required Qualifications:

Bachelor’s or Master’s degree in Computer Science, AI/ML, or related field.

3+ years of experience in AI/ML engineering, with at least 1 year focused on Generative AI.

Hands-on experience with RAG architectures, including document chunking, embedding generation, and retrieval systems.

Proficiency in Python and familiarity with libraries such as Hugging Face, Transformers, OpenAI API, and PyTorch/TensorFlow.

Experience with Agentic AI frameworks (LangGraph, OpenAI SDK, AutoGen, CrewAI) and building agent accelerators using platforms like Copilot Studio or AWS Bedrock AgentsCore

Strong understanding of LLM capabilities, limitations, and prompt engineering techniques.

Experience with cloud platforms and containerization (Docker, Kubernetes).