Social Automation Platform Engineer (Full-Stack, AI/LLM)

sandpiper-productions

United States

October 07, 2025

Apply Now
Share this job SVGs not supported by this browser. Description About the role Own the platform that turns our asset database into AI-generated, approval-gated, and auto-scheduled social campaigns across Meta and other channels. You’ll build the backend services, the UI module for composing/approving/scheduling, and the reporting pipes—so campaigns publish reliably with guardrails, observability, and traceability. What you’ll do Compose → Approve → Schedule → Publish: Ship a UI module where teammates select assets from our DB, generate LLM variants, preview per platform, route for approval, and schedule posts. Integrations: Implement and maintain Meta Graph API (and peers) for OAuth, publishing, webhooks, pagination, rate-limit handling, retries, and error classification. Guardrails: Enforce brand/policy checks, blocked terms, size/format limits, and approval gates; log every action (create/edit/approve/publish) with auditability. Schedulers & workers: Build timezone-aware schedulers, queues, and backoff/retry strategies; surface live status via webhooks and alerts. Reporting & data: Attach campaign/UTM metadata automatically; ingest Insights/Analytics into the warehouse and power dashboards for performance and SLA monitoring. Reliability & security: Instrument traces/metrics/logs, set SLOs, create runbooks; implement RBAC, secrets management, and least-privilege access to the asset DB. Collaboration: Partner with Marketing/Brand to translate briefs into prompt templates and experiment plans; with Data to define schemas; with Legal on policy checks. Outcomes you’ll own (KPIs) Automation rate: % of posts fully automated (target increases quarter over quarter). Reliability: Publish success rate, time-to-recover, and max retry thresholds within SLO. Throughput: Time from draft to scheduled publish; batched publishing without platform violations. Quality & lift: Engagement/CTR improvement of AI variants vs. human baseline (A/B). Data freshness: Insights ingestion latency SLA (e.g., ≤ X hours end-of-day). Compliance: Zero unauthorized publishes; 100% actions audit-logged. Requirements Minimum qualifications 4+ years building production web apps/services (Python or Node preferred), with queues/workers (e.g., Celery/RQ/SQS) and job schedulers. Hands-on with OAuth2 and Meta social platform API : publishing, webhooks, pagination, rate limits, error handling. LLM orchestration experience: prompt templates, content validation/moderation, safe outputs. Strong SQL; shipped ETL connectors; familiarity with a modern warehouse + BI (e.g., BigQuery/Redshift/Snowflake + Looker/Metabase). Front-end proficiency (React/TypeScript) to build a clean, role-aware workflow UI. Track record of shipping observability (metrics/logging/tracing) and writing runbooks/tests. Nice to have (not required) TikTok/YouTube/X APIs; batch publishing at scale; media processing pipelines. Evals for generative content; brand safety/classifier experience. CI/CD, containers, IaC; SOC2-friendly audit logging. AB testing frameworks; feature flags; config/versioned prompts. Benefits Flexibility and competitive pay. Apply for this job
Apply Now