AI Engineer Lead responsible for managing LLM systems and data pipelines at DELVE Deeper. Leading hands-on engineering efforts to ensure production quality and data platform decisions.
Responsibilities
Lead hands-on across LLM systems, data pipelines, connector infrastructure, context management, observability, and production quality.
Own the data platform decisions that make the agent usable in production, including ETL orchestration, data contracts, vector storage, API reliability, and context formatting for LLM consumption.
Define evaluation frameworks, success thresholds, and regression suites before any feature enters development.
Mentor engineers working in an AI-first codebase while maintaining a high standard for clarity, speed, and disciplined iteration.
Implement logging, tracing, monitoring, and alerting across model behavior, pipeline health, API usage, and user-facing failures.
Requirements
7+ years across software engineering, data engineering, ML engineering, or AI platform work, including direct ownership of production systems
2+ years leading technical delivery for complex systems, with evidence of setting standards and raising execution quality
Strong Python and SQL, plus hands-on experience building APIs, services, and robust data pipelines
Deep experience with ETL or ELT design, schema management, and data platform reliability in production
Hands-on experience building or operating LLM applications, agentic systems, tool-calling workflows, or comparable AI application layers
Experience with cloud infrastructure and containerized deployments (AWS, Azure, or GCP; Docker and ideally Kubernetes)
Benefits
Health and dental insurance (after trial period)
28 calendar PTO days
Flexible sick days policy backed by full 100% short-time disability coverage
Compensation of sports facilities (after trial period)
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