Hybrid AI Engineer Lead

at Delve

• Job title: AI Engineer Lead
• Job type: Contract
• Experience level: Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: Airflow, AWS, Azure, Cloud, Docker, ETL, Google Cloud Platform, Kafka, Kubernetes, Python, SQL
• Location requirements: Hybrid, Warsaw, Poland

About the role

• 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