Senior Full Stack Engineer - Agentic AI Startup

We invite you to join NinjaTech AI as a Senior Full Stack Software Engineer as we're building the future of autonomous AI agents: our technology that doesn't just assist, but actually executes complex tasks end-to-end.

Why this opportunity is exciting:

• First FE-Leaning Engineer at HQ : you will work side-by-side with expert-level Full stack engineers

• Founding Team Impact : Work directly with our mostly ex-AWS founding engineering team and ex-Google Product/UX leaders

• Cutting-Edge AI : Build infrastructure, OS and UI for autonomous AI agents that can actually do things end to end

• High Velocity, High Impact : Ship features that millions of users will interact with (B2C and B2B)

• Technical Ownership : Own significant parts of the product architecture and make decisions that will scale with the company!

About the Company:

NinjaTech AI is a generative AI startup (B2C and B2B) with headquarters in Silicon Valley and offices in Sydney and Vancouver. Our team built an Agentic AI product from the ground up: we use cutting edge tools and do a lot of innovative work, while prioritizing fast iteration and quick delivery. Our flagship product, SuperNinja, is an advanced agentic AI platform with full OS capabilities, performing website creation, end-to-end coding, advanced data analysis, and more. NinjaTech AI is backed by Alexa Fund and Samsung Ventures and we are on track to raise Series A funding.

The Senior Full Stack Engineer is a full-time position, based at our HQ office in Los Altos, California (5 days on-site ; great office space, free daily meals). Our team works in a fast-paced and collaborative environment. We get a lot done when we ideate together and iterate quickly.

As a Senior Engineer, you'll architect and build the core user-facing features as well as back-end infrastructure that make our autonomous AI agents accessible, fast and powerful. You will report to the VP of Engineering and will collaborate on a daily basis with the founder/CEO and the VP of Product.

What you will build:

As a key member of our engineering team , the Senior Software Engineer will be responsible for translating our vision and customer needs into functional and appealing interactive applications, ensuring a great user experience.

• Develop and implement serving architecture for our distributed systems with focus on scalability, observability, and efficiency

• Design and build components for internal SDKs for microservices and integrate them in collaboration with other developers

• Write robust and well-documented code, ensuring quality through automated testing and continuous integration and deployment

• Work effectively in a fast-paced, dynamic team environment, contributing to multiple projects

• Conduct code reviews and provide constructive feedback to other members of the team

• Develop and maintain documentation for the platform, including API documentation, technical guides, and technical specifications

• Explore new tools and technologies that can improve development efficiency and product quality

Required Experience:

• 5+ years of experience in software development, with a focus on building scalable and reliable web applications.

• Expert-level experience in React.

• Proficiency in Next.js and Python.

• Experience with AWS Cloud.

• Strong expertise in various API protocols, including RESTful API and WebSockets.

• Familiarity with database technologies such as Firebase, Supabase, DynamoDB, NoSQL, PostgreSQL, or MySQL.

• Hands-on experience in building microservices for service-oriented architecture (SoA) on top of AWS services, leveraging various components (e.g., SQS, Lambda, SNS, ECS, etc.).

• In-depth understanding of the entire web development process (design, development and deployment).

• Familiarity with RESTful APIs and integration of backend services.

• Knowledge of version control systems (e.g., Git) and experience working with collaborative development tools.

• Ability to perform well in a fast-paced environment where deadlines are tight and priorities can change rapidly.

• Strong problem-solving skills and ability to work in a team environment.

Preferred Qualifications:

• Bachelor's or Master's degree in Computer Science or Engineering

• Experience with Large language models (LLMs) and AI agent frameworks, as well as machine learning model deployment and serving

• Knowledge of real-time systems and WebSocket/streaming protocols

• Experience with infrastructure as code (CDK, Terraform, CloudFormation)

• Experience in a high-growth startup environment

• Experience with observability tools (Grafana, DataDog)

Benefits:

• Excellent Health insurance plans

• 401(k)

• Generous Paid Time Off (Vacation, Sick & Holidays)

• Paid meals and snacks

• Equity grants (we are still pre-Series A so it's a great time to join the founding team!)