Overview
Skills
Job Details
Location: Austin, TX (Hybrid)
About the Role
We are looking for a Lead Fullstack Software Engineer to join our AI Technologies Engineering team, reporting to the Senior Engineering Manager, AI Technologies. In this role, you will lead the design, development, and deployment of innovative applications and services powered by Generative AI (GenAI), driving technical excellence and delivering impactful business solutions.
As a technical leader, you will architect, develop, and optimize fullstack applications, ensuring seamless integration across front-end, back-end, and cloud-based AI services. Your work will enhance efficiency, improve user experiences, reduce friction, and enable entirely new business capabilities made possible through GenAI-driven innovations.
In addition to your direct engineering contributions, you will mentor engineers, establish best practices, and drive engineering excellence across the stack. You will collaborate closely with product managers, architects, and AI specialists to create scalable, high-performance, and secure applications. This role requires a deep understanding of modern fullstack development, cloud technologies, microservices architecture, API design, and DevOps practices.
Key Responsibilities
- Design and build secure, efficient, and scalable web applications, APIs, and backend services.
- Engineer Generative AI-powered solutions and applications
- Drive code quality, security, performance optimization, and DevOps.
- Lead and mentor an international team of engineers
- Apply modern software architecture and engineering best practices
Experience:
- Bachelor/Master's degree in Computer Science, Computer Engineering, or related field or equivalent experience
- 10+ years of job experience in a hands-on coding role
- Experience using Generative AI software engineering solutions, such as GitHub CoPilot
- You have experience with multiple programming languages and frameworks (specifically Python, HTML, CSS, JavaScript, React, and C#)
- Experience engineering secure, scalable, efficient, and well architected software
- Experience engineering RESTful web services and modern web applications
- Experience configuring and deploying cloud services, such AWS ECS / Fargate, AWS Serverless, Azure Functions, AWS Lambda, etc...
- Experience managing version control solutions, static code analysis, and performing code reviews
- You have experience with load testing, troubleshooting, and optimizing performance of web services
- Excellent collaboration and problem-solving skills
Beneficial Experience
- Knowledge of reinforcement learning, natural language processing, and other advanced AI techniques.
- Experience with cloud-based AI services and infrastructure.
- You have experience working in large data-driven services
- Experience with deep learning frameworks such as TensorFlow, PyTorch, or similar.
- Experience with Generative AI solutions, such as Azure AI Studio, AWS Bedrock, and Hugging Face