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1 день назад

Staff Software Engineer (AI/ML)

202 500 - 274 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Staff Software Engineer (AI/ML): Designing and operating highly available distributed systems for payroll and workforce products while shipping production AI/ML and agentic workflows with an accent on correctness, scalability, and secure automation. Focus on event-driven architectures, LLM tool and API layers, agent guardrails and evaluation, and hands-on technical leadership across complex production systems.

Location: Mountain View, California, United States or New York, New York, United States; onsite role

Base pay: $202,500–$274,000 annually in Mountain View

Company

hirify.global is a global financial technology platform powering products including TurboTax, Credit Karma, QuickBooks, and Mailchimp.

What you will do

  • Own architecture for high-volume, highly available services with strict correctness, reliability, latency, and recovery requirements.
  • Design event-driven and workflow-based distributed architectures using messaging, state machines, and sagas; lead capacity planning, performance, resiliency, observability, SLOs, and incident prevention.
  • Design and ship agentic workflows that automate complex customer and operations tasks, including secure MCP or similar tool and API integrations for LLM assistants.
  • Define authorization, human-in-the-loop checkpoints, policy enforcement, auditability, evaluation, testing, and monitoring for AI agents handling sensitive data.
  • Partner with data science and Responsible AI to productionize prediction, anomaly detection, personalization, and safe LLM-based capabilities.
  • Remain hands-on for roughly 60–80% of the role while leading technical specifications, design reviews, mentoring, production problem-solving, and cross-functional technical direction.

Requirements

  • BS/MS in Computer Science or equivalent work experience.
  • 8+ years building systems and services for large-scale business environments, including Java and Spring Boot; full-stack React/JavaScript experience is a plus.
  • 5+ years designing, building, and operating robust, highly scalable, highly available distributed systems, with the ability to explain system scale and architectural trade-offs.
  • Strong command of consistency models, idempotency, concurrency, partitioning, caching, and failure handling.
  • Practical experience with microservices and REST, GraphQL, Kafka, Kubernetes, and AWS.
  • Strong database design experience with SQL databases including MySQL or PostgreSQL and NoSQL databases including DynamoDB or Cassandra.
  • Hands-on experience shipping AI/ML-powered production features, including LLM applications with prompting, RAG, and tool or function calling.
  • Experience designing agentic systems with multi-step workflows, orchestration, tool and API integration such as MCP, and guardrails; evaluating production AI systems through quality and safety metrics and model or agent iteration.
  • Expertise in data structures, algorithms, software design, and architecture, plus strong leadership and communication skills for technical and non-technical audiences.
  • Comfort operating in ambiguity, entering new areas, and driving impact with a Discover-Implement-Ship-Measure-Learn mindset.

Nice to have

  • Experience in fintech, payments, or other high-correctness, compliance-sensitive domains.
  • Experience applying AI agents to operational workflows with measurable efficiency outcomes.
  • Experience with Temporal, Step Functions, or similar workflow engines.

Culture & Benefits

  • Hands-on technical leadership within a team building payroll and workforce experiences for millions of small businesses and workers.
  • Competitive compensation with performance-based cash bonus, equity rewards, and benefits eligibility under applicable plans.
  • Work includes close partnership with product, design, data science, Responsible AI, and senior business stakeholders.
  • hirify.global operates with a startup-oriented, continuously self-disrupting mindset despite its established 35-year history.

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