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Lead Software Engineer (AI / Backend Heavy)

Job description

Lead Software Engineer (AI / Backend Heavy)
$160,000 - $200,000 + Equity
Remote

Are you a full-stack engineer with start-up experience, seeking a high-impact role where you'll take ownership and play a key role in shaping AI integrations and scalable system architecture?

This is an incredible opportunity to get early equity with a high-impact startup working at the intersection of product, AI, and data infrastructure.

This company helps brands connect physical products to digital experiences using QR codes, enabling direct customer engagement, product registration, and promotions. They use AI and data analytics to capture offline interactions, predict customer behavior, and optimize marketing performance across channels.

In this role, you'll design and build full-stack applications from the ground up, integrating AI models, real-time data pipelines, and cloud-native infrastructure. You'll own the entire development lifecycle (from system architecture to deployment) to deliver high-performance, AI-powered product features.

This is a fantastic opportunity for someone who wants to help shape the AI and system architecture in a fast-growth company.

The Role:
- Design, build, and maintain full-stack web applications using React, Next.js, Node.js, MongoDB, and cloud-native tools.
- Develop high-performance front-ends and deeply integrated, AI-powered product features using APIs like OpenAI and Anthropic.
- Build scalable infrastructure and data pipelines for real-time and batch processing, analytics, and reporting.
- Own the full development lifecycle while mentoring engineers and collaborating cross-functionally in a fast-paced environment.

The Person:
- Expert in React, Next.js, Node.js, and MongoDB for building scalable full-stack applications.
- Proven experience integrating and scaling AI APIs in production environments.
- Skilled in designing robust data pipelines (ETL/ELT, streaming, batch) and microservice architectures.
- Deep proficiency with AWS and DevOps tools like Docker, GitHub Actions, and CI/CD pipelines.
- Strong track record of scaling systems to millions of users with focus on architecture, security, and performance optimization.
- Start-up or Founding experience