Join a seed-stage startup as a founding engineer building an AI-powered media monitoring platform. You will design core backend systems and scalable data pipelines to process massive multimodal datasets. Working alongside ex-FAANG engineers, you’ll have significant influence over technical direction while shipping features directly to a global customer base.
Founding Backend Engineer at fast-growing AI startup
Join a high-growth AI startup as a Founding Backend Engineer and help build the future of media intelligence. Working alongside an elite team from Meta, Stripe, and Netflix, you will architect core systems and scale data pipelines that process massive multimodal datasets for hundreds of global clients. This is a unique opportunity to join a well-funded company with seven-figure ARR, offering significant equity and a clear path to engineering leadership while shipping production-grade AI systems at scale.
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Location
Remote (United States)
Compensation
$150k-$220k + Equity
Company
Confidential company
Role overview
About the company
Fast-growing AI startup
What you will do
- Architect and maintain core backend services using Python, Node.js, and PostgreSQL, taking features from concept to deployment.
- Build and scale robust data pipelines to ingest, normalize, and index massive volumes of news, social, and policy data.
- Implement and optimize production-grade AI systems, including RAG pipelines, embeddings, and fine-tuned models for real-world reliability.
Who this is a fit for
- 2+ years of experience building and scaling production backend systems with proficiency in Python or Node.js.
- Deep expertise in at least one specialized area: data engineering, distributed systems, or productionizing AI/ML models.
- Proven ability to thrive in fast-paced, early-stage environments with a strong sense of ownership and a bias for action.
Why this role is remarkable
- Join a high-caliber engineering team with backgrounds from Meta, Stripe, and Netflix, offering a unique mentorship and collaboration environment.
- Exceptional market traction with seven-figure ARR and a diverse client base ranging from global consultancies to government agencies.
- Deep technical ownership over the full stack, including production AI systems like RAG pipelines, agentic systems, and large-scale data infrastructure.
How Jack & Jill work together
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