Software Engineer, AI

Recruiting From Scratch•San Francisco, CA

21h•$200,000 - $300,000•Remote

About The Position

Our client is a fast-growing, venture-backed technology company redefining how businesses activate and personalize their customer data. Backed by leading institutional investors and trusted by hundreds of well-known brands, the company has pioneered a modern data platform that empowers teams to turn raw data into real-time, AI-driven action. With strong product-market fit, significant funding, and a $1B+ valuation, the company is now expanding its AI Decisioning team to build the next generation of configurable AI agents that personalize every customer interaction. This is an opportunity to join at a pivotal moment and help define how AI transforms marketing and business operations at scale. As a Software Engineer, AI, you will operate at the intersection of backend engineering, data systems, and applied AI. This is a 0→1 product role focused on experimentation, rapid iteration, and building production-grade AI capabilities from the ground up.

Requirements

3–6+ years of software engineering experience building and shipping production systems.
Experience working on AI/ML-driven or data-intensive products in startup environments.
Strong backend engineering fundamentals (e.g., distributed systems, APIs, data processing).
Hands-on experience working with LLMs and modern AI tooling in production environments.
A track record of shipping 0→1 products or features.
Comfort operating in fast-paced, high-growth environments with evolving requirements.
Clear communication skills and the ability to reason about trade-offs in AI system design.
A high degree of ownership and intellectual curiosity around emerging AI technologies.

Nice To Haves

Experience at high-velocity, venture-backed startups (Series A–D+).
Experience building AI-powered product features beyond basic chat or simple RAG implementations.
Familiarity with experimentation frameworks, prompt engineering, model evaluation, and applied ML.
Background in computer science, engineering, mathematics, or a related technical discipline.
Experience collaborating cross-functionally with product, data, and business stakeholders.
Located in or open to occasional travel to the San Francisco Bay Area.

Responsibilities

Take ownership of new AI-driven product initiatives, particularly in marketing and personalization.
Design and build backend systems that leverage LLMs and light ML to generate insights and content from large-scale customer data.
Prototype and ship AI-powered features quickly, working closely with executive leadership and a small, high-impact team.
Develop infrastructure to evaluate, experiment with, and deploy different LLMs and AI methodologies.
Contribute to building an AI agent capable of: Surfacing unique data-driven insights Identifying high-propensity or at-risk users Generating marketing content and campaign recommendations Translating analytics into clear, actionable outputs
Help define best practices around where and how AI should (and should not) be used in production systems.
Influence the long-term product roadmap by shaping foundational AI capabilities.
This is a high-autonomy role with meaningful ownership and direct exposure to executive leadership.