Software & AI Engineer III

Responsibilities

• Design, develop, and maintain robust and scalable full-stack web applications using TypeScript, React, and Python.
• Develop, implement, and manage cloud infrastructure on AWS using Infrastructure as Code (IaC) principles with tools like Terraform or Pulumi.
• Experience with developing and implementing K8s containers including best practices.
• Experience with machine learning models, deep learning, and large language models.
• Develop and maintain robust CI/CD pipelines to automate testing and deployment, ensuring high-quality, reliable software delivery.
• Collaborate with cross-functional teams to define, design, and ship new features and technical solutions.
• Champion the adoption and integration of AI-powered development tools (e.g., Claude Code, VSCode extensions, Cursor, GitHub Copilot) to accelerate development and improve code quality.
• Actively participate in code reviews, design discussions, and embrace modern development practices using Git and agile methodologies.
• Diagnose and resolve end-to-end issues within existing software systems, ensuring optimal performance and reliability.
• Contribute to an environment of continuous learning and improvement, actively exploring new technologies and methodologies relevant to our mission.

Requirements

• Proficiency in building modern web applications with TypeScript and React.
• Strong back-end development experience using Typescript and Python.
• Hands-on experience with AWS cloud services (e.g., EC2, S3, Lambda, RDS, VPC) and Kubernetes.
• Proven experience with Infrastructure as Code (IaC) using Terraform or Pulumi.
• Expertise with standard development tools, including modern IDEs (VSCode), Git, and CI/CD pipelines.
• Applied experience (professional or personal) showcasing strong full-stack development skills.
• A genuine and demonstrable passion for technology, with a constant drive to learn and adapt.

Qualifications

• A keen interest in the machine learning space, with a desire to contribute to the training and fine-tuning of AI models.
• Prior experience training or fine-tuning ML models or Large Language Models (LLMs).
• Experience working in a fast-paced, mission-driven engineering environment.

Benefits

• Medical, dental, vision, basic and supplemental life insurance.
• Paid parental leave.
• Short and long-term disability.
• 401(k) with a company match of up to 5%.
• Education Support Program.
• Stock Options for all regular employees (working at least 20 hours/week).
• Paid Time Off: Up to four (4) weeks per year based on weekly scheduled hours, and up to 14 company-paid holidays.