Member of Technical Staff

**About the job

Compensation: $200,000–$400,000 base \+ equity

PTO \+ Health Benefits Included

Figwork is a AI talent sourcing platform that streamline contractor hiring and complete work for businesses in the AI economy. We maintain a pool of 200,000\+ vetted early career worker in our network, with expertise across all fields. Shipping fast and reliably is our priority—a promise made to both ourselves and to businesses paying for quality work without overhead.

We believe such a platform is necessary in the current economy, especially as AI starts to replace the human workforce. In the next few years, freelance and gig markets will see a surge in both supply and demand as companies move away from expensive full-time hiring and toward outsourcing projects to flexible, on-demand teams for higher ROI. However, quality inconsistencies and noisy hiring signals have slowed down this transformation. Figwork stands at the intersection of this new talent economy.

Role Overview

We are hiring a Member of Technical Staff to buid the technical foundation of an AI-driven marketplace.

This is a full-stack role with system-level ownership. You will be responsible for integrating frontend, backend, data, and AI components into a coherent, reliable product.

Our core matching and recommendation logic is developed in collaboration with an academic research lab and is likely to involve LLM-based systems. While this is not a research role, you will work closely with researchers and stay adjacent to state-of-the-art methods, helping translate research ideas into production-ready systems.

What You Will Own

• End-to-end ownership of core product systems, from user experience to backend services

• Integration of AI- and LLM-based matching components into production workflows

• Designing interfaces between models and application logic, including confidence handling and

fallbacks

• Building full-stack features that connect user signals, task data, and marketplace decisions

• Designing system logic for cold start, task failure, retries, and quality control

• Making early architectural decisions that shape the long-term technical direction of the platform

What You Should Be Comfortable With

• 3-5 years of professional development experience with a track record of shipping products

• Full-stack development across frontend, backend, and data systems, including but not limited to cloud environments, databases, and more

• Fast-paced startup schedule.

• Understanding how LLM-based systems behave in real products (latency, variance, failure modes)

• Collaborating with research partners and turning research artifacts into deployable components

• Operating in an early-stage environment where product and system boundaries evolve quickly

Research Collaboration

You will work with an academic research lab that develops core AI and LLM-based matching models

• You will help define interfaces, constraints, and evaluation criteria for production use

• You will not be responsible for publishing papers

• Your responsibility is to ensure the research model can survive real users, real data, and real failures

How This Role Evolves

As the company grows, strong performers will take on broader ownership across architecture, hiring, and technical direction, with a clear path toward senior technical leadership.**