Applied AI Engineer

About the Company and Product

Currently, over 5 billion people use fundamental applications such as email, notes, and task managers that are not inherently AI-driven. The mission is to create an intelligent, proactive assistant designed for daily users, enhancing conversations, errands, organization, and workflows with minimal user input.

This product prioritizes delivering high reliability in sustained workflows, maintaining ongoing context, and successfully completing tangible tasks. It must manage complex multi-step reasoning, integrate with external tools, and stay dependable despite models' unpredictable behavior. The goal is to enable users to complete daily tasks with approximately a 90% reduction in time and increased enjoyment.

Role Overview

The Applied AI Engineer will be responsible for transforming advanced model capabilities into tangible product experiences. This involves taking full ownership of challenges from refining model behaviors to developing supporting systems ensuring reliable deployment in live environments.

This position bridges machine learning, system architecture, and product design, focusing on practical application of AI rather than theoretical or demonstration use.

Key Duties

• Develop and deploy AI-powered features end-to-end, encompassing model integration, system design, and user interaction.
• Design and refine prompts, tooling, memory systems, and autonomous agent workflows.
• Convert unstructured model outputs into consistent, dependable, and manageable system behaviors.
• Diagnose and resolve issues across the full technology stack including models, orchestration platforms, infrastructure, and user interfaces.
• Enhance system performance by reducing latency, lowering costs, and improving production stability.
• Create streamlined evaluation tools to assess AI performance in real-world scenarios.
• Collaborate closely with product and engineering teams to translate vague problem statements into functional systems.

Technologies Utilized

• Python programming language
• Machine learning frameworks such as PyTorch and JAX
• Large language models (LLMs) including OpenAI APIs, LLaMA, Qwen and others
• Inference and serving infrastructure like vLLM
• Vector databases for efficient data handling

Preferable Qualifications and Skills

• A solid grounding in machine learning concepts and modern neural network designs
• Practical experience in training, refining, or deploying machine learning models
• Proficiency in writing clean, maintainable production-level software
• Comfortable engaging with multiple layers of abstraction from models to infrastructure to user products
• Exceptional problem-solving capabilities in fast-changing, unclear environments
• A strong inclination towards rapid iteration, deployment, and ongoing refinement

Expected Results

• Machine learning models meet or exceed production standards for accuracy, responsiveness, and robustness
• Prompt identification and troubleshooting of production challenges with effective root cause analysis
• Maintainability and reproducibility of data processing pipelines, training routines, and inference workflows
• Effective teamwork with engineering, product management, and research to deliver dependable AI features
• Product and model improvements driven by real-world data and measurable outcomes

Company Culture and Work Style

We believe the most successful products are created by small, highly skilled teams who make collective decisions swiftly. We balance rapid delivery with quality and learning. New team members are expected to bring organizational skills, good judgment, and a capacity to work autonomously. Our ultimate aim is to empower users worldwide with genuinely transformative AI technology.

Recruitment Process

Candidates who match our requirements will be invited for up to four interview stages conducted virtually or on-site. The selection process values transparency and speed, with quick decisions communicated. This opportunity is more than a job; it's a chance to participate in building AI solutions that have meaningful global impact.