Artificial Intelligence Engineer

Role & responsibilities

An AI Engineer designs, builds, and deploys artificial intelligence applications using foundation models, machine learning frameworks, and cloud infrastructure. They bridge the gap between complex AI research and practical business products like automated workflows, chatbots, and retrieval systems.

Key Responsibilities

Build AI Systems: Design and develop end-to-end applications powered by large language models (LLMs), RAG (Retrieval-Augmented Generation) pipelines, and autonomous agents.

AI Shipping Labs

Productionize Models: Transform experimental prototypes into scalable, reliable, and secure production services integrated with software APIs.

Optimize and Monitor: Set up tracking for latency, cost, and output accuracy, maintaining performance and guardrails post-deployment.

AI Shipping Labs

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Collaborate: Work with data scientists, software developers, and product stakeholders to align technical AI solutions with company goals.

Required Skills and Qualifications

Programming: Advanced proficiency in Python.

Frameworks & Tools: Experience with PyTorch, TensorFlow, LangChain, LlamaIndex, or Hugging Face ecosystems.

Infrastructure: Knowledge of vector databases, cloud platforms (AWS, GCP, Azure), and API integration.

Background: A degree in Computer Science, Data Science, Mathematics, or equivalent hands-on engineering experience

Preferred candidate profile