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Software Engineer - Platform / Applied AI (Full-Stack)

Talently • United States
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We are seeking a Platform and Applied AI Engineer to own the core data infrastructure powering high-throughput pipelines and full-stack web surfaces alongside frontier AI research labs. You will build complex data-capture workflows, architect resilient distributed systems, and establish engineering best practices in a rapidly scaling environment. Candidates need 0–4 years of high-impact engineering experience with strong fundamentals in Node.js/TypeScript, Python, and/or Go.

Key Highlights
Core infrastructure role for an AI startup at $3.2B valuation building data pipelines for foundation model development
End-to-end ownership of high-throughput data-capture workflows spanning web (Next.js) and desktop (Python)
Greenfield infrastructure decisions across distributed systems, storage, caching, and message queues
Key Responsibilities
Build and scale complex data-capture workflows across web and desktop, owning reliability and throughput end-to-end
Architect and optimize high-throughput data pipelines capable of handling heavy production loads
Set engineering best practices and establish architectural groundwork for a rapidly scaling engineering organization
Collaborate directly with the founding team to define product strategy and ship features quickly
Own greenfield infrastructure decisions across storage, caching, search, and message-queue architectures
Design, implement, and maintain resilient distributed systems and internal tooling
Technical Skills Required
Distributed Systems Data Pipelines Full-Stack Development
Benefits & Perks
Equity grant vested over 4 years
401(k) with employer match
Comprehensive health insurance
Daily lunch and dinner provided
Free gym membership
Visa sponsorship available (H-1B, O-1, OPT)

Job Description

The Company

Our client is an applied research lab curating data solutions for foundation model development. As one of the fastest-scaling AI infrastructure companies, they reached a $100M+ annual revenue run rate within roughly a year of founding and raised at a $3.2B valuation. They partner directly with leading frontier AI research labs to deliver high-quality data that powers the next generation of foundation models.

Role Overview

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