Senior Engineer (Agentic + Data/ML)

Responsibilities

+ CES improvements: PR-level scoring, historical context, context-retrieval agent, automated score correction, training data prep from feedback.

+ Data/PR tracking: ingest PRs, link to commits/branches, track merges to main, backfills.

+ Orchestration & reliability: Dagster migration, retries, scheduling, monitoring, data quality alerts.

+ LLM/prompt optimization: DSPy-based prompt tuning, eval set creation, feedback-driven corrections, prompt cost/quality tradeoffs.

+ Metadata & classification: role/work-type classification, epic linking improvements, filters/explorer features.

Skills Must have

+ Agentic coding: build retrieval agents that pull code context/diffs/history to improve scoring (aligns with CES Phase 3 and quality metric work).

+ Data pipelines: Dagster (preferred) or equivalent orchestrator; AWS-native pipelines (ECS/EventBridge/Lambda/S3/Glue experience a plus); robust backf...

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