AI Engineer

Own the technical architecture of our AI / LLM systems end to end - from framework and tooling choices through to deployment. Build reusable platform components: a model gateway, permission-aware RAG, agent orchestration, secure tools/MCP connectors and internal-system integrations. Translate security and compliance policy into technical controls for SSO/RBAC, data classification and isolation, PII, secrets, approvals and audit. Establish evaluation, observability and release gates covering answer and retrieval quality, safety, cost, latency, reliability and drift. Partner with product and business teams to turn priority problems into shipped, dependable solutions, with the right human oversight. Keep the architecture modular and vendor-neutral, so we are never locked to a single framework or model provider.

Desired Candidate Profile

Qualifications and Experience 5+ years software engineering, with strong Python and production backend/API experience and ownership of 0-to-1 systems.