TL;DR

Fullstack AI Software Engineer (AI/SaaS): Building intelligent, scalable, and user-centric product experiences across a B2B SaaS platform with an accent on integrating LLMs and ML models into production systems for recommendations, automation, summarization, classification, or decision support. Focus on designing, building, and maintaining end-to-end product features across frontend, backend, and AI services and ensuring high code quality and engineering best practices.

Location: Hybrid in San Mateo, CA or Bellevue, WA, requiring in-office presence three days per week (Tuesday - Thursday).

Salary: $216,000–$283,000 annually

Company

%hirify_global% builds uncomplicated service software that delivers exceptional customer and employee experiences for over 72,000 companies worldwide.

What you will do

Design, build, and maintain end-to-end product features across frontend, backend, and AI services.
Develop AI-powered capabilities such as recommendations, automation, summarization, classification, or decision support.
Integrate LLMs and ML models into production systems with attention to performance, reliability, and cost.
Build and consume well-designed APIs and services that support scalable AI workflows.
Collaborate with Product Managers, Designers, and Data/ML partners to translate business problems into technical solutions.
Ensure high code quality through testing, reviews, and adherence to engineering best practices.

Requirements

5–8 years of professional software engineering experience.
Strong fullstack development experience, with depth in either frontend (React, TypeScript, modern UI frameworks) or backend (Java, Python, Node.js, REST/gRPC, distributed systems).
Solid understanding of system design, data models, and API contracts.
Experience working with cloud platforms (AWS, GCP, or Azure).
Hands-on experience integrating AI/ML models into production applications.
Practical experience with LLMs (e.g., prompt engineering, RAG patterns, evaluation, cost/performance tradeoffs).
Product-oriented mindset focused on user impact.

Nice to have

Experience in B2B SaaS products with scale (multi-tenant, enterprise, or global users).
Exposure to observability, model monitoring, and AI safety/guardrails.
Experience working in agile product teams shipping frequently to production.

Culture & Benefits

Offers multiple options for dental, medical, vision, disability, and life insurances.
Equity + ESPP, flexible PTO, flexible spending, commuter benefits and wellness benefits.
Adoption and parental leave benefits.
Environment fostering potential, purpose, and passion for all backgrounds, genders, sexual orientations, religions, and ethnicities.
Commitment to providing equal opportunity and workplace diversity.