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Lorimer Ventures
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Senior Full Stack Engineer - AI & Data

Brij

Brij

Software Engineering, Data Science
Austin, TX, USA
Posted on May 15, 2025

Senior Full-Stack Engineer - AI & Data

Location: Remote or Hybrid (Austin Preferred)

About Us

Brij is a venture-backed, high growth software startup based in NYC. Our AI-powered platform helps omnichannel consumer brands gain valuable data to “bridge” online and offline audiences to drive revenue across channels. Our suite of tools including warranty registration, sweepstakes & rebates empower brands to connect with their consumers wherever they shop. We work with some of the best brands in the world including Heineken, Feastables, Momofuku, Health-Ade, Skullcandy, and Gozney.

We’re a lean, diverse team with a bias toward action and extreme ownership. Our customer-first mindset drives everything we do, and we’re excited to build the future of omnichannel commerce.

About the Role

We’re looking for a Senior Full-Stack 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, Next.js, Node.js, 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, Next.js, Node.js, and MongoDB.
  • Proven experience integrating and scaling AI APIs in production environments, including building complex, production-level microservices with an orchestration layer.
  • Experience creating, integrating and scaling AI APIs in production environments.
  • 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.