FDE / AI Engineer

MLabs Ltd; San Francisco (CA); Presencial; USD 150.000 - 250.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Equity stake

Competitive salary

Unlimited AI resources

Strategic impact

Immersive SF environment

Descripción de la vacante

MLabs Ltd in San Francisco, CA is hiring a FDE / AI Engineer for an on-site, full-time role. Compensation ranges from $150K to $250K with equity and extensive AI tooling access.

The position entails owning end-to-end software factory architecture, from telemetry capture to autonomous agent deployment, within an elite startup environment. Applicants must be US citizens or permanent residents, willing to relocate to San Francisco for in-person work, and commit to a fast-paced 996 schedule while

Formación

• US citizenship or permanent residency is required.
• Willingness to relocate to San Francisco, CA for onsite work.
• Experience building production-grade software with TypeScript, Rust, or Next.js.

Responsabilidades

• Capture Layer Development: design high-throughput systems to collect desktop and system events.
• Privacy & Compliance Infrastructure: automated redaction and anonymization in ingestion.
• Data Structuring & Knowledge Graphs: model enterprise workflows into knowledge graphs.
• Autonomous Coding Agents: engineer AI agents to generate, test, deploy production software.
• Production Deployment: integrate apps into client environments with reliability.
• Client Execution (First 30 Days): map workflows and ship automated solutions for a live client.

Conocimientos

TypeScript

Rust

Tauri

PostgreSQL

Next.js

Azure

Herramientas

Azure

PostgreSQL

Next.js

Tauri

Descripción del empleo

Location: San Francisco, CA

On-Site| Full-time

Compensation: $150K - $250K

Our client, an elite Y Combinator-backed startup based in San Francisco, is building the software factory for the enterprise. Traditional SaaS platforms force companies into rigid workflows requiring months of forward-deployed engineering, while custom agency builds cost millions and rarely scale beyond proofs of concept. By leveraging autonomous coding agents, our client automates the forward-deployed engineering layer—capturing desktop workflows, mapping business logic, and deploying custom, AI-native software stacks tailored to each client.

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.

• 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).

• 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.

Commitment to Equality and Accessibility

At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing [e-mail].

MLabs Ltd collects and processes the personal information you provide such as your contact details, work history, resume, and other relevant data for recruitment purposes only. This information is managed securely in accordance with MLabs Ltd’s Privacy Policy and Information Security Policy, and in compliance with applicable data protection laws. Your data may be shared only with clients and trusted partners where necessary for recruitment purposes. You may request the deletion of your data or withdraw your consent at any time by contacting [e-mail].