Senior Software Engineer (AI)

TL;DR

Senior Software Engineer (AI): Architecting, designing, and implementing GenAI-powered products and features within the FinTech industry with an accent on rapid experimentation, real user feedback, and scaling successful AI initiatives. Focus on pushing the boundaries of emerging AI capabilities, balancing creative exploration with technical feasibility, product potential, and business impact to transform hirify.global into an AI-first company.

Location: Hybrid, San Francisco

Salary: $180,000 - $270,000 a year

Company

hirify.global builds tools and experiences that thousands of developers use to create their own products, empowering financial transformation and enabling millions to live a healthier financial life.

What you will do

• Architect, design, and implement GenAI-powered products and features.
• Collaborate across functions to understand user needs and propose AI-powered solutions.
• Design and execute rapid experiments to explore business impact from emerging AI capabilities.
• Balance creative exploration of possibilities with rigorous evaluation of technical feasibility, product potential, and business impact.
• Consolidate and rapidly scale successful AI initiatives.
• Grow with the team to accelerate hirify.global’s transformation into an AI-first company.

Requirements

• Strong software engineering fundamentals, including system design and API development.
• Hands-on experience building and shipping LLM-powered products, iterating with real user feedback.
• Practical experience with prompt engineering, fine-tuning, RAG, semantic search (vector databases and embeddings), and agent orchestration frameworks.
• Experience building GenAI-powered product experiences, including streaming/SSE and common UX patterns.
• Strong debugging and production monitoring experience.
• Ability to deeply understand customer needs through user research and rapid experimentation.
• Comfortable operating as a technical PM when needed, balancing divergent exploration with pragmatic execution in 0 to 1 environments.
• Deep curiosity and passion for building GenAI applications.

Nice to have

• Experience training and deploying ML models in production, including fine-tuning LLMs for domain-specific use cases.
• Comfortable operating in privacy- and PII-sensitive environments, with experience applying appropriate compliance and data protection controls.

Culture & Benefits

• Comprehensive benefit plan, including medical, dental, vision, and 401(k).
• Mission to unlock financial freedom for everyone by building a diverse and equitable team.
• Values diversity and encourages applications from individuals whose experience may not fully match the job description.
• Committed to providing reasonable accommodations for candidates with disabilities in the recruiting process.