Description
Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organisations to safely embrace this new era.
The team that built Jeeva AI is building Digital Workers, a new suite of autonomous agents for identity operations and security inside Okta. The team works directly with Todd McKinnon, Okta's co-founder and CEO, with the opportunity to bring this product to Okta's 20,000+ customers.
As a Staff Software Engineer, you will help shape the product with the ownership and pace of a startup and the resources of a public company. You will build the harnesses and evaluations that make these workers reliable. They investigate risk, use tools, wait for approvals and complete tasks across enterprise systems.
Responsibilities:
- Build the agent harness for planning, tool use, memory, context compaction, interruption and recovery during long-running work.
- Integrate OpenAI and Anthropic model APIs. Select models using measured quality, latency and cost, with clear failure handling.
- Evaluate existing harnesses and build only the missing pieces. Keep the harness connected to AWS workflow execution and approval state.
- Keep authorisation and sensitive writes behind application policy checks. Require evidence of the resulting state before marking work complete.
- Build evaluation datasets and replay tests for valid findings, access decisions, app setup and AI agent onboarding.
- Measure false positives, missed risks, unsafe actions, completion rate and cost. Turn production failures into regression tests.
- Test prompt injection, stale evidence, conflicting instructions and unsafe tool use. Protect tenant boundaries in retrieval and memory.
- Improve prompts, retrieval, tools and model routing. Evaluate fine-tuning or other post-training methods when results justify them and data use is approved.
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. Experience with OpenAI or Anthropic is especially relevant.
- Depth in agent execution or evaluation systems, with working code and failure analysis you can explain.
- Ability to distinguish a plausible model response from a supported finding or verified action.
Benefits:
- Health, dental and vision insurance
- 401(k)
- Flexible spending account
- Paid leave (including PTO and parental leave)