Agent / AI Engineer

About the Role

As an Agent / AI Engineer, you will build the AI layer of the GCC Intelligence Platform—the conversational agent users interact with. You will own grounding, retrieval, persona routing, session state, and permission-aware querying so the agent stays accurate, secure, and tenant-safe.

What You’ll Do

LLM & Agent Integration

• Integrate LLM APIs (e.g., AzureOpenAIor equivalent) for conversational workflows.
  • Build a grounding layer that anchors responses to real platform data (not model guesses).
  • Maintain prompt templates across multiple personas and use-cases.

Retrieval, Permissions & Security Boundaries

• Implement intent classification and persona routing to the right KPI views.
  • Build the API handler that sets DB sessionvariables so RLS/ABAC policies enforce correctly.
  • Own JWT validation and permission registry lookups that control access.

Reliability & Cost Controls

• Build session state management, safe retries, and failure handling.
  • Implement token budgeting, tracking, and enforcement per tenant.
  • Improve accuracy baselines through structured evaluation and regression checks.

What You Bring

Qualifications & Experience

• 3+ years building with LLM APIs in production (OpenAI/Azure/Anthropic or similar).
  • Experience shipping grounding/RAG systems to real users.
  • Strong Python for agent logic, APIs, and prompt management.
  • Understanding of how auth/session context interacts with database queries.

Key Skills

• Prompt engineering across user types and tasks.
  • Accuracy-first mindset—grounded correctness as a constraint, not a feature.
  • Strong debugging and evaluation discipline.

What Success Looks Like – Global Excellence (GE)

• Agent answers staygrounded—accuracyimproves and hallucinations reduce.
  • Access is safe—tenant boundaries are respected every time.
  • Persona routing feels natural—users get the right view, right detail, right format.
  • Costs stay controlled—token governance and caching/optimization reduce overrun risk.

If you enjoy building secure, grounded AI agents that executives can trust, and shipping AI systems with strong evaluation discipline — this role offers both impact and progression.