Applied AI Engineer job opportunity at MLabs.

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Date2026-02-06T13:54:19.927Z bot
MLabs Applied AI Engineer
Experience: General
Pattern: full-time
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degreeGeneral
loacation Austin, United States Of America
loacation Austin....United States Of America

Applied AI Engineer Location: Austin, TX (Hybrid - 3 days in-office) Compensation: $200k - $250k base + Equity Start Date: Q1 2026 Software engineering is being turned on its head. While tools like Claude and GitHub Copilot are great for repetitive tasks, the real challenge lies in the "Last Mile": building the infrastructure and workflows that allow a team to use AI to its maximum potential without sacrificing the rigors of mission-critical software. We are looking for an exceptional Applied AI Engineer to join our team in Austin. We are a well-funded ($40M) startup backed by top-tier investors like Paradigm and Electric Capital. We are currently rebuilding the infrastructure of the global financial system—bringing it fully on-chain to make it faster and safer. Your mission is to level up our entire organization’s impact by embedding AI deeply into how we engineer and operate. You will stay at the absolute frontier of AI development, ensuring our team evolves from "using AI" to "effectively managing a team of AI agents" with consistent quality and guardrails. What You Will Do: Accelerate Engineering Velocity: Solve the gap between the frontier of AI research and the frontier of mission-critical production systems. Contribute Production Code: This is a hands-on engineering role. You will contribute directly to our core product to ensure your AI workflows actually work in a high-stakes production environment. Shape AI Product Features: Partner with product and engineering to ideate and prototype AI-powered features for our flagship financial platform. Systematize AI Usage: Create the orchestration layers, CI/CD integrations, and custom agent configurations that help the entire team work more effectively. Stay Ahead of the Curve: Act as the internal go-to expert for new models and tools, experimenting constantly and sharing learnings so adoption sticks across the team. Strong Engineer First: You are a senior or mid-senior engineer who has shipped and owned meaningful systems in production. You have strong system-design instincts and a high bar for code quality. AI Obsessed: You code every day and spend your nights and weekends experimenting with the latest models and productivity tools. Solutions-Driven: You take pride in being the person who unblocks others. You are personable and thrive in a collaborative environment. Production-Grounded: You treat AI infrastructure as a production system. You are comfortable with custom agent configs, orchestration layers, and managing agents across remote environments. Curious & Gritty: You are gleefully curious about optimization and comfortable operating in the ambiguity of a fast-moving startup. This role is NOT a fit if: You are looking for pure AI research or model training (we focus on applying models to workflows). You want to work fully remotely (we value in-person collaboration 3 days a week in Austin). You are primarily looking to lead a team of people; for the foreseeable future, you will be leading a team of AI agents.

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