Applied AI Engineer

About Augment Code

Augment Code is the only AI coding assistant built for professional software engineers working in large, production‑grade codebases. Our Context  Engine understands your entire repo, enabling developers to stay in flow while writing, reviewing, and understanding code. Backed by top‑tier investors and trusted by engineering teams at leading tech companies, Augment Code is redefining how modern software is built.

About the role

We’re looking for an Applied AI Engineer to help bring cutting-edge AI capabilities into the hands of developers. This is a hands-on engineering role at the intersection of product, AI, and systems — focused on implementing and integrating LLM-powered features that enhance developer experience and productivity.

You’ll collaborate with engineers, researchers, and designers to translate product needs into intuitive, reliable AI-powered experiences. You’ll also play a key role in shaping how AI is used across our stack — from prompt design to system integration — while staying up to date on emerging AI capabilities.

Examples of what you could do:

• Implement and integrate AI functionality into key product features
• Craft and iterate on prompts to improve LLM reliability and usefulness
• Build AI-powered flows that feel intuitive and responsive to developers
• Evaluate and test AI outputs to ensure performance and accuracy
• Work alongside engineers to deliver robust, production-grade code
• Stay current with LLM tools, APIs, and best practices

You will…

• Deliver reliable, high-quality AI-powered product experiences
• Translate product needs into technical AI implementations
• Tune and test prompts for real-world use cases and developer workflows
• Collaborate closely with engineers and researchers
• Contribute across frontend, backend, and integration layers

Qualifications:

• Strong coding skills in one or more of: Python, Go, Node.js, JavaScript, TypeScript, React, or Java
• Experience with API integrations and service-oriented architectures
• Familiarity with prompt engineering for LLMs (e.g. OpenAI, Claude, Gemini)
• Ability to evaluate and optimize AI outputs for reliability and quality
• Strong problem-solving instincts and attention to detail
• Collaborative mindset and eagerness to learn

Bonus Points:

• Experience building product features that incorporate LLMs
• Understanding of best practices for AI reliability and safety
• Background in frontend development or UX-oriented implementation
• Familiarity