Senior Software Engineer (Generative AI)

Location: San Francisco, CA; Sunnyvale, CA; or Seattle, WA, United States

Salary: $137,100–$201,600, $167,800–$246,800, or $203,500–$299,300 USD annually, depending on level and work location. Equity grants are also available.

Company

hirify.global operates a delivery and commerce platform and develops shared machine learning and generative AI infrastructure for hirify.global, Wolt, and Deliveroo.

What you will do

• Design and lead production infrastructure that moves generative AI products, agents, automation, and personalization from prototype to production.
• Own the open-weight model serving stack, including real-time GPU endpoints, high-throughput batch inference, and SFT, DPO, and LoRA fine-tuning.
• Architect scalable systems for model serving, GPU autoscaling, batch pipelines, backend services, observability, and cost attribution.
• Improve GPU inference cost, latency, throughput, batching, utilization, reliability, fallback behavior, and operational controls.
• Build platform capabilities with production standards for monitoring, SLOs, playbooks, experimentation, and operational excellence.
• Set technical direction, mentor engineers, and collaborate with ML engineers, product engineers, data scientists, and platform teams across hirify.global, Wolt, and Deliveroo.

Requirements

• Bachelor’s, master’s, or PhD in Computer Science or equivalent experience.
• 6+ years of industry software engineering experience.
• Strong backend engineering fundamentals, especially Python and distributed systems.
• Experience designing and owning production services, APIs, data pipelines, or machine learning infrastructure at scale.
• Hands-on production experience with LLM inference or fine-tuning of open-weight models, including serving performance, autoscaling, GPU utilization, or SFT, DPO, and LoRA.
• Technical leadership experience, including architecture across ambiguous areas, mentoring engineers, production operations, observability, incident response, and performance or cost optimization.

Nice to have

• Experience with vLLM, SGLang, TensorRT-LLM, distributed fine-tuning, GPU performance optimization, Kubernetes, AWS, GCP, or elastic GPU platforms.
• Experience with LLM gateways, model routing, vendor abstraction, cost attribution, developer platforms, or self-service infrastructure.
• Experience deploying AI agents or MCP servers and working with evals, LLM observability, tracing, RAG, search, or vector databases.

Culture & Benefits

• Work on a small, high-leverage generative AI platform team in a fast-moving technical area.
• Comprehensive benefits for regular employees, including medical, dental, vision, disability, and basic life insurance.
• 401(k) plan with employer matching, paid parental leave, wellness benefits, commuter benefits matching, and family-forming assistance.
• Flexible paid time off and vacation for salaried roles, plus 80 hours of paid sick time per year.
• Mental health support and 11 paid holidays.