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Senior AI Engineer

Discussion
  • Design and ship production-grade agentic systems
  • Take technical ownership of Compliance in a Box (CiaB) AI platform
  • Architect and evolve AI reasoning layer and agent orchestration framework
  • Build and maintain the GRC Brain (AI reasoning layer) and Agentic Cortex (agent orchestration framework)
  • Design and implement a 7-agent architecture including OnboardingAgent, ScopeAgent, StandardsMapper, RiskQuantifier, PolicyAnalyzer, InfrastructureAuditor, and ComplianceMonitor
  • Implement Human-in-the-Loop (HITL) gates across agent workflows
  • Tune prompts and confidence scoring for Bedrock-hosted models
  • Own the agent evaluation framework measuring quality, latency, and reliability
  • Collaborate with cross-functional teams to deliver CiaB feature-complete by Week 7
  • Degree in Computer Science, Software Engineering, or related IT discipline
  • Demonstrable understanding of AI/ML concepts including LLMs and agent-based systems
  • Ability to write clean, well-tested code, Python preferred
  • Strong experience of shipping real AI products
  • Strong communication skills
  • Collaborative mindset
  • Exposure to AWS services, especially Amazon Bedrock or similar LLM hosting platforms
  • Familiarity with GRC concepts or cybersecurity frameworks such as ISO 27001 or SOC 2
  • Experience with agent orchestration libraries such as LangChain, CrewAI, AutoGen
  • Flexible work environment
  • Global days of service
  • Comprehensive health benefits
  • Meeting free days
  • Generous time off policy
  • Wellness programs
  • Hybrid work model with onsite work at least 50% of the time for those within commuting distance to an office location

See also

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