Principal Software Engineer

About the Role

We're looking for a
Principal Software Engineer – AI and Data
with an extreme ownership mentality and a proven track record of building scalable, production-grade applications from the ground up. This is a high-impact role at the intersection of product, AI, and data infrastructure. You'll be a key contributor in shaping our technical foundation, AI integrations, and scalable systems architecture.

If you've founded a startup or have built and scaled web applications from the ground-up this role is built for you.

What You'll Do

• Architect, build, and maintain full-stack web applications using React, , , MongoDB, and modern cloud-native tools.
• Build pixel-perfect, high-performance front-ends with deep attention to detail and strong design intuition.
• Design and implement scalable data pipelines and infrastructure for real-time and batch processing.
• Create applications with deep integration of analytics, reporting, and data-driven decision-making tools.
• Integrate and operationalize AI APIs such as OpenAI, Anthropic, or other LLM providers into customer-facing features.
• Own the full development lifecycle — from architecture and database design to deployment, observability, and scaling.
• Collaborate closely with cross-functional teams to rapidly iterate on AI-powered product features.
• Mentor junior engineers and contribute to a high-ownership, high-performance culture.

What We're Looking For

• 8+ years of full-stack engineering experience, with a proven ability to build and launch full web applications from scratch.
• Mastery of React, , , and MongoDB.
• Proven experience integrating and scaling AI APIs in production environments, including building complex, production-level microservices with an orchestration layer.
• Experience deploying and scaling AI-powered features in production, with expertise in:
• AI Red Teaming - Adversarial testing to find failure modes and vulnerabilities
• AI Assurance - Comprehensive validation that AI systems meet safety and reliability standards
• Model Monitoring - Continuous oversight of AI model performance and behavior in production
• AI Quality Assurance (AI QA) - Traditional QA practices adapted for AI systems
• AI Reliability Engineering - Ensuring AI systems are dependable and fail gracefully
• Strong expertise in designing and maintaining data pipelines (ETL/ELT, streaming, or batch).
• Deep mastery of AWS services, including but not limited to:
• Lambda, EC2, S3, RDS, API Gateway, SQS, SNS, CloudWatch, IAM, VPC, and ECS with Containerization
• DevOps experience including but not limited to:
• Docker, Swarm, Github Actions, Creating Custom CI/CD pipelines. Knowledge of Kubernetes is a plus.
• Demonstrated ability to scale applications to millions of users.
• Strong understanding of system architecture, security, caching strategies, and performance optimization.
• Demonstrated ability to scale applications to millions of users.
• Bonus: You've founded a startup or been the first/early technical hire at an early-stage startup.

You'll Thrive Here If You

• Take extreme ownership of your work and thrive in high-autonomy environments.
• Obsess over quality, performance, and clean design in both UI and system architecture.
• Are passionate about AI, analytics, and data-first product development.
• Want to work with a small, global, elite team shipping high-impact features at startup speed.

Why Join Us

• You'll be a foundational team member building transformative AI-first products.
• Work on big technical challenges with a clear path to user and business impact.
• Competitive compensation, meaningful equity, and a high level of autonomy.