Live opening · Posted 27 days ago
The key details from the original listing.
Live timing from JobBeeper.
Description supplied by the original job listing.
Requirements:
Skills: Python, Django, Flask API, React or Angular, Typescript, agentic AI, Gen AI, Guardrails, LLM, RAG, AWS Bedrock, and any cloud.
Experience with Strands Agent SDK, AWS Bedrock AgentCore, LiteLLM, or comparable agent runtime frameworks.
Experience building MCP servers or tool-calling integrations using FastMCP or similar frameworks.
Experience with agent evaluation (DeepEval, Guardrails AI), LLM observability (Arize Phoenix, Langfuse, OpenTelemetry), and token metering.
Experience with React Flow (xyflow) for workflow visualisation, CodeMirror for in-browser editors, and declarative UI / SSE event streaming.
Experience with Expo / React Native for mobile applications.
Experience with A2A (Agent-to-Agent) protocol, cross-account AWS agent execution, and Step Functions / EventBridge orchestration.
Working knowledge of Neo4j, Trino, Databricks, or Vertex AI RAG integrations.
Experience building platforms in privacy-safe, customer data platform (CDP), or marketing technology environments.
Experience with GoCD, Husky pre-commit hooks, Orval OpenAPI code generation, and monorepo development workflows.
Specialisation Tracks:
Platform backend Django apps, APIs, Celery, PostgreSQL, tenant isolation, and publishing workflows.
Agent Runtime / AI Strands SDK, Bedrock, MCP, RAG, evaluation, streaming, performance optimisation.
Frontend / UX React apps, shadcn/ui, workflow editors, SSE streaming, type-safe API clients.
Mobile Expo / React Native companion application.
Platform / Infra: Terraform, ECS, observability, CI/CD, cross-account AWS.
Experience
9-12 yrs
Recently tracked roles with full details and direct application links.