Founding Engineer - Clean Data Layer for AI Systems

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AI Summary

Join Coders Connect as a Founding Engineer to build and evolve the systems at the heart of the clean data layer for modern AI systems. Design, build, and scale core data extraction, retrieval, and validation systems. Work closely with the founder and early team to take ownership of critical workflows and shape product strategy.

Key Highlights
Design and build backend systems for data extraction, validation, and retrieval
Develop and optimize AI-powered workflows for speed, accuracy, and reliability
Work across the stack, including Python services, data and LLM pipelines, and TypeScript-based interfaces
Technical Skills Required
Python TypeScript AI LLM Backend services Data pipelines Kubernetes
Benefits & Perks
$150,000 to $250,000 base salary
Competitive early-stage equity with meaningful upside
Visa sponsorship available
Full-time, in-office role in New York City

Job Description


About the Job

We are building the clean data layer for modern AI systems. Our platform helps companies turn messy, unreliable data into accurate, validated inputs using a combination of AI and expert human review, delivered through a simple API that integrates directly into existing data pipelines. Starting with financial services, our long-term goal is to make clean data effortless for every team that depends on it.


As the platform scales, we are hiring a Founding Engineer to help build and evolve the systems at the heart of the product. This is a high-impact role at an early-stage, YC-backed company, ideal for an engineer who enjoys working across the stack, thrives in ambiguity, and wants to help define both the product and technical foundation from the ground up.


Your Role

You will design, build, and scale core data extraction, retrieval, and validation systems. Working closely with the founder and early team, you will take ownership of critical workflows spanning backend services, data pipelines, LLM-powered systems, and user-facing tools. This is a broad, hands-on role with direct influence on architecture, product direction, and how customers experience clean data at scale.


What You’ll Do

▪️ Design and build backend systems for data extraction, validation, and retrieval

▪️ Develop and optimize AI-powered workflows for speed, accuracy, and reliability

▪️ Work across the stack, including Python services, data and LLM pipelines, and TypeScript-based interfaces

▪️ Experiment with, fine-tune, and evaluate LLMs on real-world data challenges

▪️ Build internal tools and automation to improve engineering velocity and data review quality

▪️ Collaborate closely with the founder to shape product strategy and technical direction


What You Bring

▪️ 2+ years of experience in full-stack, backend, or infrastructure engineering (full-time)

▪️ Strong software engineering fundamentals and ability to work across systems and data layers

▪️ Experience with Python and enthusiasm for working with AI in production environments

▪️ Familiarity with TypeScript or a willingness to learn quickly

▪️ Comfort taking ownership from idea to shipped product in an early-stage setting

▪️ A mix of technical competence, strong work ethic, curiosity, and kindness


Why Join?

▪️ Build the foundational clean data layer for AI-native applications

▪️ Work directly with the founder at a YC-backed company from day one

▪️ Own meaningful systems with real customer impact at an early stage

▪️ Opportunity to grow into senior technical leadership over time


Package

▪️ $150,000 to $250,000 base salary, depending on experience

▪️ Competitive early-stage equity with meaningful upside

▪️ Visa sponsorship available


Location

▪️ New York City | On-site

▪️ Full-time, in-office role


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