Software Engineer, AI

Recruiting From Scratchabout 1 month ago
San Francisco, CA, United States
Remote
Full-time
Junior Level (1-3 years)

Job Description

Who is Recruiting from Scratch:

Recruiting from Scratch is a specialized talent firm dedicated to helping companies build exceptional teams. We partner closely with our clients to deeply understand their needs, then connect them with top-tier candidates who are not only highly skilled but also the right fit for the company’s culture and vision. Our mission is simple: place the best people in the right roles to drive long-term success for both clients and candidates. https://www.recruitingfromscratch.com/

Title of Role: Software Engineer, AI

Location: Remote (San Francisco Bay Area preferred)

Company Stage of Funding: Series C (Venture-Backed, $1B+ Valuation)

Office Type: Remote with occasional Bay Area office visits

Salary: $200,000 – $300,000 base + Competitive Equity

Company Description

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.

What You Will Do

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.

You will:

  • 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.

Ideal Candidate Background

We are seeking product-minded engineers who thrive in ambiguity and enjoy building new systems from first principles.

Strong candidates typically have:

  • 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.

Preferred

  • 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.

Compensation, Benefits & Additional Details

  • Base Salary: $200,000 – $300,000
  • Equity: Competitive equity package
  • Benefits: Comprehensive health benefits, paid time off, and additional standard full-time benefits
  • Visa Sponsorship: Available for eligible candidates
  • Team & Growth: Join a ~100-person team at a well-capitalized Series C company with strong revenue traction and long-term growth potential
  • Impact: Direct influence on major AI product lines and company strategy

This is a rare opportunity to help shape the future of AI-powered personalization at scale — building systems that move from experimentation to real-world impact quickly. If you’re excited about applied AI, product ownership, and building category-defining technology, we encourage you to apply.

Employment Type:

FULL_TIME

Required Skills

Model Evaluation
Data Processing
Prompt Engineering
Back-End Development
Distributed Systems
Artificial Intelligence
Machine Learning
Software Engineering
APIs
Product Management
Experimentation Frameworks