Data + ML Platform/Infra Engineer

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Hiring Company: Humoniq (YC S25)

One-liner: Humoniq is a YC-backed startup focused on building integrated AI systems to solve real-world problems in travel and transport.

Why Join Us:

Role Responsibilities

• Build a log ingestion pipeline

• Ingest GCP Cloud Run / application logs into a central store (BigQuery / Postgres)

• Parse logs into ticket-level and message-level records

• Join in evaluator comments and metadata so we can analyze behavior end-to-end

• Ship an AI regression and evaluations

• Re-run historical conversations through new prompts / models

• Compare End-of-Conversation classification/Issue/Task action-plan outputs over time

• Generate clear reports that show regressions, hallucinations, and wins

• Improve our AI agents through prompting and other changes

• Implement drift detection

• Track distributions of intents, outcomes, and actions over time

• Detect when user behavior or model outputs deviate from baseline

• Surface drift in dashboards and alerts so we can act before customers are hurt

• Build internal dashboards & tools

• Let evaluators and product see problem tickets quickly

• Make it trivial to search for 'all conversations where X went wrong'

• Visualize trends so we stop arguing anecdotes and start arguing data

• Own reliability + documentation

• Add monitoring and alerting around your pipelines

• Document your data models, assumptions, and runbooks

• Make it possible for someone new to pick up your work and move forward

Qualitications

Required

• Explicit and demonstrable experience in backend, data engineering, or ML infra (or equivalent real-world work)

• Strong Python skills for scripting and small services

• Experience with at least one cloud platform (GCP ideal)

• Experience building and operating ETL / data pipelines in production

• Comfort with SQL and analytical databases (BigQuery, Snowflake, Redshift, or similar)

• Clear written communication and willingness to document decisions

Preferred

• Experience with GCP Cloud Run / Cloud Logging / Pub/Sub / Cloud Scheduler

• BigQuery specifically

• Data orchestration tools (Airflow, Dagster, Prefect, dbt, etc.)

• Experience with observability stacks (Grafana, Prometheus, OpenTelemetry, etc.)

• Familiarity with LLMs, prompt evaluation, or ML monitoring