Gen AI Engineer

Roles & Responsibilities

Position Overview : We are seeking a skilled AI Engineer with a strong background in Large Language Models (LLMs) and Generative AI (GenAI). This role focuses on creating intelligent agents, copilots, and advanced workflows powered by state-of-the-art LLMs, while also pushing forward the boundaries of generative model development, optimization, and integration.

Key Responsibilities :

• Agentic AI Applications : Architect, build, and deploy agent-based systems (chatbots, copilots, multi-agent frameworks) leveraging large language models and tool orchestration frameworks.
• Generative AI Model Engineering : Design and optimize generative AI solutions using models like GPT, Claude, Gemini, and LLaMA; contribute to model innovation (GANs, VAEs, transformers).
• RAG & Workflow Design : Implement Retrieval-Augmented Generation (RAG) pipelines, reasoning chains, and multi-step workflows for robust enterprise AI systems.
• Prompt Strategy & Evaluation : Develop, refine, and evaluate prompt engineering techniques to enhance model performance and consistency.
• LLMOps & MLOps : Lead the full lifecycle of AI models, from data preprocessing and model fine-tuning to monitoring, evaluation, and deployment with MLOps / LLMOps best practices.
• Cross-Functional Collaboration : Partner with engineering, product, and design teams to translate business goals into scalable AI solutions.
• Research & Innovation : Stay ahead of GenAI and Agentic AI advances, proactively experimenting with new techniques and frameworks.
• Documentation & Knowledge Sharing : Produce comprehensive documentation and mentor team members in best practices.

Tell employers what skills you have

TensorFlow

Machine Learning

Pipelines

Architect

Computer Vision

Keras

Strategy

PyTorch

Workflow Design

Good Communication Skills

Python

Engineering Design

Data Science

Product Development

Orchestration

Linux

C++