Senior Generative AI Engineer — Enterprise ML Platform

FDE Times; Dubai; On-site; AED 551,000 - 727,000; Full time

Benefits offered by this job

Generous equity plan

Competitive compensation package

Job summary

C3 AI seeks a seasoned software engineer to advance Generative AI infrastructure and tooling, deploying state-of-the-art models within enterprise applications. You will collaborate with product managers, data scientists, and engineers to own the full software lifecycle.

The role demands hands-on ML production experience, especially with large language models, and the ability to work quickly in a fast-paced environment.

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, or related fields; MS preferred.
• Excellent programming skills in Python; Java and JavaScript are a plus.
• Strong data structures, algorithms, profiling/optimization, DRY code, and OO/FP programming.
• In-depth understanding of machine learning including deep learning.
• Track record of applying machine learning in a production system.
• Demonstrated end-to-end ownership of projects.
• Stellar listening and explanation skills.
• Interest in Generative AI and related tools (LangChain, Semantic Kernel, ChatGPT Plugins).
• Minimum of 3 years of work experience in a fast-paced software company.

Responsibilities

• Build systems and tools for Generative AI using the C3 AI Platform.
• Enable scalable end-to-end ML pipelines in a distributed system with heterogeneous hardware (GPUs, TPUs, etc.).
• Collaborate with data scientists to research and implement latest Generative AI approaches.
• Define and lead long-term development of the C3 Generative AI Suite.
• Mentor junior team members.

Skills

Python

Java

JavaScript

Machine Learning

Deep Learning

Distributed Systems

End-to-end Ownership

Gen AI

Communication Skills

Generative AI

Education

Bachelor's in CS/CE

MS preferred

Tools

LangChain

Semantic Kernel

ChatGPT Plugins

Job description

C3 AI seeks a seasoned software engineer to advance Generative AI infrastructure and tooling, deploying state-of-the-art models within enterprise applications. You will collaborate with product managers, data scientists, and engineers to own the full software lifecycle.

The role demands hands-on ML production experience, especially with large language models, and the ability to work quickly in a fast-paced environment.