> Markdown version of [/jobs/ext/2574989-founding-engineer](https://www.wearedevelopers.com/jobs/ext/2574989-founding-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Founding Engineer - **Company:** CLERA, LLC - **Location:** New York, NY, United States - **Salary:** $150,000.0 - $175,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, Cloud Computing, Databases, Data Infrastructure, Graph Database, Python (Programming Language), Software Tools, Service Development Studio, TypeScript, Web Application Frameworks, ReactJS, Large Language Models, Multi-Agent Systems, Backend, Fastapi, Cloudflare, Front End Software Development, Virtual Agents, Data Pipelines - **Published:** August 5, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=6b99455b6a6216e4 ## About the Role * A track record of having built, shipped, and operated production software systems end to end - at any experience level, including new graduates. * Hands-on experience using AI agents or LLM-based systems to accomplish real work in production or substantial side projects. * Experience building deterministic software tools and controls used alongside AI/agent systems. * Backend service development with Python and FastAPI (or equivalent Python frameworks) in production. * Database, data pipeline, and data infrastructure experience across relational and analytical data stores. * Experience improving AI agent reliability, observability, or tool design for production agentic workflows. * Frontend development with TypeScript and React, including real-time customer-facing features. * Experience building parsing, extraction, or data reconciliation systems from unstructured or semi-structured sources. * Cloud infrastructure and deployment experience with AWS, Cloudflare, or equivalent platforms. * Sound judgment about when an AI agent should reason versus when deterministic software should take over. * US work authorization required - visa sponsorship is not available. Nice-to-haves: * Capital markets, financial data, or equity research domain experience. * Experience with modern data stack tools such as dbt, Neon, MotherDuck, Turbopuffer, or similar. * Experience with DBOS or durable execution frameworks. * Experience building knowledge graphs, ontologies, or structured data models from unstructured information sources. ## Description Join a three-person founding team in New York building the full-stack systems behind an agentic platform that processes thousands of jobs daily in the capital markets intelligence space. As a Founding Engineer, you'll have an outsized impact on how the company makes its AI agents dependable - through reliable tooling, durable execution, and strong observability. You'll own work spanning frontend, data infrastructure, and AI orchestration from day one. This is a high-ownership, high-velocity role at the earliest stage. You're expected to inspect data, ship improvements, QA your own work, and fix things in production when they break. What You'll Do * Work across the entire stack to ship frontend features, data pipelines, and agent infrastructure. * Build real-time, customer-facing systems that keep users informed as information changes. * Create internal tooling and data pipelines that enable analysts to add sources and maintain sector coverage faster and more reliably. * Improve the tools and capabilities that make AI agents more reliable and capable in production. * Own projects end to end: from data inspection and instrumentation through to shipping and production support. * Ship meaningful contributions within your first days - add a new information source on day one, improve parsing and extraction within week one, and deliver a company ontology and the first version of a core product feature within 30 days. ## Related Videos - [Coffee with Developers - Maria Apazoglou](https://www.wearedevelopers.com/videos/1209-coffee-with-developers-maria-apazoglou) - [Intro to FastAPI](https://www.wearedevelopers.com/videos/462-intro-to-fastapi) - [Watch Tests Go Brrrr! : Getting Started with Cypress in ReactJS](https://www.wearedevelopers.com/videos/282-watch-tests-go-brrrr-getting-started-with-cypress-in-reactjs) - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [Agentic employees in world's most downloaded FinTech app](https://www.wearedevelopers.com/videos/100123-agentic-employees-in-world-s-most-downloaded-fintech-app) - [Building and Deploying Multi-Agent Systems with ADK and Vertex AI](https://www.wearedevelopers.com/videos/1918-building-and-deploying-multi-agent-systems-with-adk-and-vertex-ai) ## Related Articles - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [Dev Digest 132 - Binging WADFlix?](https://www.wearedevelopers.com/magazine/473-dev-digest-132-binging-wadflix) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)