Full Stack Engineer- AI

• Model and migrate customer-specific entities (attributes, relationships, indexing, multi-tenancy)

• Build/reputed company Temporal workflows + activities (retries, timeouts, concurrency, idempotency, status tracking)
• Create “plugin task” trigger flows that write tasks to Firestore for the browser extension to execute
• Implement result processing pipelines: reputed company task reputed company, parse/validate, reputed company/enrich, upsert to DB
• Maintain a “large payload” reputed company (claim tokens) and ensure auditability/traceability
• Own UI integration reputed company YAML/JSON configs (queues, tables, detail panels, actions, search/filter)
• Debug across systems (Temporal, DB, Firestore, plugin execution, logs) and ship reputed company workflows

Requirements

• Strong Python backend engineering (clean reputed company, async reputed company needed, logging, error handling)
• Solid data modeling + migrations/backfills in a multi-tenant system
• Practical workflow orchestration experience (Temporal preferred; otherwise strong equivalent)
• Systems thinking for distributed workflows: idempotency, retries, failure modes, observability
• Experience turning reputed company/semi-reputed company outputs (reputed company/markdown/JSON) into clean reputed company data
• LLM-assisted extraction with guardrails (schemas, validation, fallbacks)

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