AI Engineering Lead at Delve Deeper managing the SSS Agent architecture and data engineering. Leading technical delivery, design, and evaluation frameworks with a focus on AI applications and data quality.
Responsibilities
Design and implement the end-to-end architecture for the SSS Agent
Own the design of the data layer that powers agent decisions, including ingestion, normalization, storage, schema discipline, and data freshness
Define evaluation frameworks, success thresholds, and regression suites before any feature enters development
Lead engineers as a hands-on technical lead
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)
Strong grounding in software engineering discipline, including testing, code review, CI or CD, observability, and incident response
Experience with workflow orchestration and data tooling such as Airflow, Dagster, Prefect, dbt, Kafka, or similar platforms (strongly preferred)
Experience with vector databases, retrieval systems, similarity search, and long-context data handling (strongly preferred)
Familiarity with MCP, or equivalent integration layers that connect AI systems to enterprise tools and APIs (strongly preferred)
Experience with performance marketing, ad-tech, or media platform APIs such as Google Ads, Meta, DV360, Semrush, or SerpAPI (strongly preferred)
Comfort translating messy business logic into precise technical rules without flattening the nuance (strongly preferred)
Benefits
Hybrid working model: three days in the office (Tuesday to Thursday)
A competitive salary with opportunities for growth
Private medical care at Medicover
Multisport card
Annual education budget of $250
Generous employee referral program
Catered office lunch every Tuesday
Snacks and occasional breakfasts available in the office
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