Назад
13 дней назад

Senior Software Engineer, Applied AI

165 000 - 226 000$
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
Senior Software Engineer, Applied AI (Python/LLM Agents): Building reliable autonomous agents and evaluation systems for identity operations and security with an accent on tool use, model quality, authorization controls, and production reliability. Focus on designing long-running agent harnesses, measuring unsafe behavior and completion quality, protecting tenant boundaries, and turning production failures into regression tests.

Location: San Francisco, California, United States

Annual base salary: $165,000–$226,000 USD

Company

Okta builds identity and security infrastructure that helps organizations safely use AI and manage access across enterprise systems.

What you will do

  • Build agent harnesses for planning, tool use, memory, context compaction, interruption, and recovery during long-running tasks.
  • Integrate OpenAI and Anthropic model APIs and select models based on quality, latency, cost, and failure handling.
  • Connect agent harnesses to AWS workflow execution and approval state while evaluating existing systems and filling capability gaps.
  • Implement authorization and policy checks for sensitive writes and require evidence before marking tasks complete.
  • Build evaluation datasets, replay tests, and analytics for access decisions, risk findings, application setup, and agent onboarding.
  • Test prompt injection, unsafe tool use, stale evidence, conflicting instructions, and tenant-boundary issues; convert production failures into regression tests.

Requirements

  • Strong Python engineering skills and experience shipping an LLM application that uses tools.
  • Hands-on experience building agent workflows or evaluation systems for tool-using LLM applications.
  • Experience integrating model APIs, structured outputs, and asynchronous services, especially OpenAI or Anthropic.
  • Depth in agent execution or evaluation systems, including working code and failure analysis.
  • Ability to distinguish plausible model responses from supported findings or verified actions.
  • Senior-level ownership of an agent capability or evaluation pipeline with measurable improvements.

Nice to have

  • Open-source contributions, agent observability, security evaluations, or synthetic evaluation data.
  • Experience with fine-tuning, preference data, post-training evaluation, or model distillation using approved datasets.
  • Experience with identity and security workflows or foundation-model research.

Culture & Benefits

  • Startup-style ownership and execution within a public-company environment.
  • In-person onboarding designed to accelerate impact and build connections.
  • Health, dental, and vision insurance.
  • 401(k), flexible spending account, equity where applicable, bonus, PTO, and parental leave.
  • Connection and collaboration across a global community spanning more than 20 offices.

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