Ai Ml Engineer

We're seeking an AI / ML Engineer to design, build, and deploy intelligent systems that leverage large language models, machine learning, and agentic AI architectures. You'll work at the intersection of ML research and production engineering—transforming cutting-edge AI capabilities into robust, scalable solutions that drive real business impact.

This is a hands-on role where you'll architect AI systems from the ground up, experiment with novel approaches, and ship production-grade ML applications. You'll collaborate with engineering, product, and data teams to push the boundaries of what's possible with AI.

What You'll Do

AI System Development

• Design and build production AI / ML systems including agentic workflows, multi-model pipelines, and intelligent automation
• Develop and optimize LLM-based applications using prompt engineering, RAG (Retrieval-Augmented Generation), and fine-tuning techniques
• Build AI agent frameworks that orchestrate complex reasoning, tool use, and multi-step workflows

ML Engineering & Operations

Data & Infrastructure

Collaboration & Innovation

Required Qualifications

Technical Foundation

AI / ML Expertise

Software Engineering

Preferred Qualifications

What We're Looking For

Experimenters & Builders — You love trying new models, techniques, and architectures. You're equally comfortable reading research papers and writing production code.

Systems Thinkers — You understand how to design end-to-end AI systems that balance accuracy, latency, cost, and user experience.

Fast Learners — The AI landscape evolves weekly. You're excited by rapid change and can quickly evaluate and adopt new tools and approaches.

Pragmatic Problem-Solvers — You choose the right tool for the job—whether that's a state-of-the-art model, a simple heuristic, or something in between.

Collaborative Innovators — You communicate complex technical concepts clearly, mentor others, and thrive in cross-functional environments.

Tools & Technologies We Use

Why Join Us?

We're building AI systems that matter. If you're passionate about pushing the boundaries of what's possible with machine learning and want to see your work in production, we'd love to hear from you.