SENIOR Automation Engineer – GTM

4 days ago

Cebu City, Central Visayas, Philippines xfusion Full time ₱1,380,000 - ₱1,440,000 per year

Job Summary

We're seeking a LLM Automation Engineer to design, build, and maintain production-grade AI workflows that drive customer engagement across channels. This role is hands-on and highly technical, with a focus on automation, integration, and reliability. You'll build powerful agents, wire up GTM tools, and ensure operational excellence across workflows.

Responsibilities

  • Build scheduled and event-driven agents that:
  • Segment accounts
  • Propose next-best actions
  • Execute via email, in-app messages, CS macros, or generative agents
  • Integrate with GTM systems like Intercom, Zendesk, HubSpot, , Braze, Segment, SendGrid, and Slack
  • Connect workflows to data warehouses for insights and performance tracking
  • Implement observability and guardrails:
  • Tracing, logging, retries, PII redaction
  • Safety checks, latency, and cost monitoring
  • Maintain context management systems (data ingestion, schema/taxonomy, freshness SLAs)
  • Create reusable playbooks and run A/B tests to improve retention, activation, and support deflection
  • Write clear documentation and empower CS, Marketing, and Support teams to self-serve automations

Requirements

  • 2–5 years experience in growth ops, platform ops, or backend engineering
  • Proven experience building production-ready automation workflows
  • Experience with LLM product engineering (tool/function calling, retrieval/RAG, vector DBs)
  • Proficient in:
  • Python
  • SQL
  • Familiarity with serverless/cloud infrastructure (e.g., AWS Lambda, SQS, CloudWatch, Prefect, Temporal, Airflow)
  • Experience integrating third-party GTM tools
  • Strong documentation and cross-functional communication skills
  • Metrics-driven mindset with A/B testing experience

Nice to Have

  • Experience with LangSmith, Braintrust, or similar tracing/eval tools
  • Knowledge of Segment, Kafka, or Kinesis
  • Familiarity with CI/CD pipelines and MLOps best practices
  • Kubernetes experience (optional)

Tools We Use

  • Languages: Python, TypeScript/Node
  • AI/LLM Stack: LangGraph, LangChain, vector DBs
  • Infra: AWS Lambda, SQS, Docker
  • Automation & Scheduling: Airflow, Temporal, Prefect
  • GTM Tools: Intercom, Zendesk, HubSpot, Braze, , SendGrid
  • Data & Monitoring: SQL, Segment, dashboards, tracing/evals

What We Value

We're looking for someone who thrives on clean, scalable systems. You love reducing toil through automation, take pride in reliable infrastructure, and bring a calm, solutions-first mindset to every challenge. No formal degree required—we care more about what you've built and how you work.

How to Apply

Submit your resume and a short introduction video telling us about a system you've built or stabilized. If you've automated a messy ML workflow, reduced model downtime, or built a dashboard your team swears by—we want to hear from you.

Please note: Only applications with a video submission will be reviewed. Thank you.

Job Type: Full-time

Pay: Php115, Php120,000.00 per month

Work Location: In person

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