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Position Overview
We are seeking a Senior AI Platform Engineer to design and build the middleware, agent integration layers, and secure delivery mechanisms for our proprietary risk models.
Key Responsibilities
Agent-to-Model Interface Engineering: Design and implement standardised, low-latency interfaces (gRPC, WebSockets, Model Context Protocol) that allow agentic frameworks to query states, trigger simulations, and ingest analytical model outputs.
Enterprise Delivery Architecture: Build secure, isolated delivery pipelines for enterprise clients, including private API endpoints, VPC peering/AWS PrivateLink deployments, and client-isolated runtimes.
Deterministic Execution & State Management: Implement robust orchestration and state management to ensure reproducible, auditable model execution across asynchronous agent tool calls.
Security & Multi-Tenancy: Implement granular Role-Based Access Control (RBAC), mutual TLS (mTLS), token-based authentication (OAuth2/OIDC), and tenant data isolation at rest and in transit.
SDK & Developer Experience: Develop client-facing Python/TypeScript SDKs, programmatic schema definitions, and automated integration testing suites for external enterprise engineering teams.
Telemetry & Auditability: Construct observability pipelines for request tracing, latency tracking, rate limiting, and immutable audit logs required for enterprise compliance.
Work arrangement
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