FDE / AI Engineer

MLabs

• $150K — $250K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Deep proficiency in TypeScript, Rust, Tauri, PostgreSQL, Next.js, and Azure.
  • Proven ability to manage projects from client discovery to production deployment.
  • Strong drive to thrive in a high-velocity environment.
  • Instinctive focus on user experience and workflow optimization.
  • Direct communication style and collaborative spirit for early-stage teams.
  • Must be based in San Francisco or willing to relocate.
  • US citizenship or permanent residency required.

Responsibilities

  • Design and scale systems for high-throughput event capture.
  • Architect automated privacy and compliance solutions in data pipelines.
  • Build mechanisms to structure data into knowledge graphs.
  • Engineer AI agents for generating and deploying software.
  • Integrate applications into client environments for reliable production.
  • Execute the software factory process end-to-end for a client in the first month.

Benefits

  • Equity stake (0.50% - 1.50%) for meaningful ownership in the company.
  • Base salary between $150,000 and $250,000.
  • Unlimited access to advanced AI coding resources.
  • Direct influence over product development and company culture.
  • In-person work environment in San Francisco with a dedicated team.
Full Job Description
Location: San Francisco, CA

On-Site Full-time

Compensation: $150K - $250K

As a FDE / AI Engineer, you will build the core architecture of this software factory. You will own the full end-to-end stack-from high-throughput telemetry capture and privacy pipelines to knowledge graphs and autonomous software generation agents. This role requires exceptional technical capability, a product-first mindset, and extreme dedication to building a category-defining company.

Key Responsibilities:
  • Capture Layer Development: Design and scale high-throughput, high-concurrency systems to collect desktop and system events across client operations.
  • Privacy & Compliance Infrastructure: Architect automated redaction and anonymization mechanisms embedded directly into the core data ingestion pipeline.
  • Data Structuring & Knowledge Graphs: Build ingestion and retrieval mechanisms across unstructured documents to model complex enterprise workflows into structured knowledge graphs.
  • Autonomous Coding Agents: Engineer AI agents capable of generating, testing, and deploying custom production software directly from workflow models.
  • Production Deployment: Integrate generated applications into client environments and maintain high reliability in production.
  • Client Execution (First 30 Days): Personally execute the software factory process end-to-end for an active client-mapping workflows from desktop telemetry, shipping automated solutions via coding agents, and abstracting those manual steps into autonomous agent workflows for future deployments.

Requirements
  • Technical Stack Expertise: Deep proficiency with TypeScript, Rust, Tauri, PostgreSQL, Next.js, and Azure.
  • End-to-End Ownership: Proven ability to drive projects from initial client discovery through to robust production deployment.
  • High-Intensity Drive: Willingness to work in a high-velocity, high-commitment environment ("996" schedule) with intense focus and discipline.
  • Product Mindset: Strong instinct for user experience and enterprise workflow optimization.
  • Culture & Communication: Direct, transparent communication style and a collaborative spirit suited for an early-stage founding team environment.
  • Location: Must be based in or willing to relocate to San Francisco, CA for full-time, in-person collaboration.
  • Work Authorization: Must be a US Citizen or permanent resident (visa sponsorship is not available for this role).

Benefits
  • Founding Equity: Significant equity stake (0.50% - 1.50%) offering meaningful ownership in an early-stage company.
  • Competitive Salary: Base compensation ranging from $150,000 to $250,000.
  • AI Resources: Unlimited token usage on state-of-the-art coding agents and development models.
  • Strategic Impact: Direct influence over product roadmap, architectural design, and company culture from day one.
  • Immersive Environment: Full immersion in San Francisco alongside a highly dedicated team of builders.


Due to the high volume of applications we anticipate, we regret that we are unable to provide individual feedback to all candidates. If you do not hear back from us within 4 weeks of your application, please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search.

Similar Jobs

More Jobs at MLabs

More Information Technology Jobs

Find similar FDE / AI Engineer jobs: