Full Stack Engineer- AI

Remote Worldwide Hiring now

• 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 output, parse/validate, transform/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 code, 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-structured outputs (HTML/markdown/JSON) into clean structured data
LLM-assisted extraction with guardrails (schemas, validation, fallbacks)

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