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True Talent Solutions Partners

Senior/Staff Product Engineer, Applied AI

San FranciscoOnsite · United States
Staff · FullTime · Client Roles
POSTED 11 NOVVERIFIED 6M AGO
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$200k–300kposted
▲ +4% vs market median $240k
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Market p25–p75
$205k–$285k
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SF Bay Area · n=1130 · 365d to 10 Nov
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TypeScriptJavaScriptNode.jsPythonPostgreSQLKafkaDistributed systems

About the Role

Join the product engineering team at an early-stage industrial staffing and operations technology company. You will bring AI agents into production workflows and build the backend platform that supports worker sourcing, vetting, matching, and placement.

What You'll Do

Design how AI agents and models are applied across staffing and operations workflows.

Architect and lead core backend systems, including real-time matching and automated vetting pipelines.

Own platform architecture and make decisions that support the company's evolving product needs.

Improve backend performance, reliability, and scale across APIs, data systems, and infrastructure.

Partner with engineering leadership and cross-functional teams to turn ambiguous product needs into working systems.

For agent-focused work, develop agent harnesses, orchestration patterns, evaluation infrastructure, and model strategy.

Use customer and operational insights to shape system design and product decisions.

What We're Looking For

At least 5 years of software engineering experience for Senior-level candidates, or 7 or more years for Staff-level candidates, with end-to-end product ownership.

Experience at a fast-growing startup, shipping products and leading projects with high velocity in ambiguous environments.

Strong hands-on skills in Python and/or TypeScript/Node.js, with experience designing distributed systems, APIs, and data models.

Familiarity with PostgreSQL and messaging systems such as Kafka or RabbitMQ.

Experience building and deploying agentic or applied AI products; agent platform experience with orchestration, evaluations, and model selection is valuable.

Strong product judgment, cross-functional collaboration, and a track record of delivering measurable business impact.

Background in marketplaces, matching or recommendation systems, recruiting, operations technology, or products for non-technical users is useful.

Strong computer science fundamentals and a record of sustained contributions in prior roles.

Compensation & Benefits

Base salary: $200,000 to $300,000 annually. Visa sponsorship is available.

Location

On-site in San Francisco, California.

Source · True Talent Solutions PartnersFirst seen 11 NovOriginal ↗