Senior Software Engineer (AI/ML)

TL;DR

Senior Software Engineer (AI/ML): Building systems to power large-scale AI workloads and ensure frontier AI datasets meet advanced foundation models' capabilities with an accent on architecture, distributed compute, and data management systems. Focus on integrating agentic and foundation model technologies to power eval workflows and prototyping scalable backend services.

Location: Hybrid in San Francisco, CA or Redwood City, CA (3 days per week in office).

Salary: $200,000 - $250,000 USD

Company

hirify.global helps enterprises transform expert knowledge into specialized AI at scale, building custom AI with their data faster than ever before.

What you will do

• Own architecture, design, development, and operations of large-scale systems for AI/ML tasks.
• Integrate the latest agentic and foundation model technologies into eval workflows.
• Prototype, optimize, and maintain scalable back-end services for new foundation model development tools.
• Design extensible and testable interfaces for internal services, including storage and data models.
• Act as an engaged team player in a customer-focused, cross-functional environment.
• Ensure Snorkel’s frontier AI datasets surpass advanced foundation models' capabilities.

Requirements

• 4+ years experience in delivering AI/ML systems and services in a production setting for cloud-native applications.
• Experience with distributed compute frameworks.
• Experience with the modern AI stack, including improving LLM applications through evals, prompting, and agent scaffolding.
• Ability to design and build efficient data storage, compute, and retrieval systems for AI/ML tasks.
• Strong communication and coding skills with emphasis on designing for scale and robustness.
• Experience owning the delivery of large multi-person projects.

Nice to have

• 8+ years of professional software engineering experience.
• Experience with architecting and developing production web-scale systems (monitoring, telemetry, performance, reliability, triage and debug).
• Strong development and debugging skills in Python.
• Experience with expert data annotation projects.
• Experience developing evaluations and environments for complex multi-turn and multi-tool AI systems.

Culture & Benefits

• Meaningful opportunities to shape priorities, initiatives, and strategic decisions.
• Support for deepening technical expertise, exploring leadership, and learning new skills.
• Environment designed for growth, learning, and shared success.
• Commitment to diversity and equal employment opportunity.