Senior Director of AI Engineering and Delivery overseeing enterprise AI and Generative AI platforms. Leading technical teams in a highly regulated environment within the medical technology sector.
About the role
- AI Engineer focused on building and maintaining multi-agent AI systems for media trading decisions. Requires expertise in Python, SQL, and media platform APIs.
Responsibilities
- Build, iterate, and maintain AI agents within the architecture and boundaries defined by the Lead AI Engineer.
- Integrate data components across media platforms — ingesting, normalizing to schema, and routing to the correct agent context.
- Run prompt benchmarking, track output quality across model versions, and flag hallucination patterns or quality regressions proactively.
- Build and maintain ETL/ELT pipelines supporting daily automated callouts and weekly optimisation reporting.
- Operate within and extend the MCP connector library for external platform APIs.
- Build and maintain Slack-based approval flows — agent callouts, feedback capture, exception alerts, and operational notifications.
- Own the reliability of your agents in production; monitor output quality and respond to incidents.
Requirements
- 4+ years across software, data engineering, ML, or AI platform work with direct ownership of production systems
- Experience with media platform APIs (Google Ads, Meta, DV360, Semrush, SerpAPI)
- Strong Python and SQL — production-grade, not just analytical scripts
- MCP or equivalent integration layer experience
- Hands-on experience building or operating LLM applications, agentic systems, or tool-calling workflows
- Workflow orchestration tooling: Airflow, Dagster, Prefect, dbt
- ETL/ELT pipeline design and data reliability in production — schema management, contract enforcement, freshness monitoring
- Cloud infrastructure: AWS, GCP, or Azure; containerized deployments (Docker)
- Experience defining evaluation frameworks and success criteria for model outputs
- Slack API and webhook-based workflow automation
- Familiarity with vector databases and RAG patterns for long-context data retrieval
- Experience shipping systems that mix model logic, deterministic business rules, and human approval flows
- LLM evaluation tooling — token cost tracking, hallucination detection, model benchmarking
Benefits
- Health and dental insurance (after trial period)
- 28 calendar PTO days
- Flexible sick days policy backed by full 100% short-time disability coverage
- English language tuition covered for specific positions
- Compensation of sports facilities (after trial period)
- Mental health reimbursement (after trial period)
- Generous employee referral bonuses
- Hybrid Working Model: Tuesdays, Wednesdays, Thursdays in office with the option to work from home on Mondays and Fridays
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Staff Software Engineer at CaptivateIQ leading AI strategy and architecture for enterprise sales performance solutions. Collaborating with teams on foundational AI systems and technical direction.
Senior Software Engineer building AI capabilities for enterprise performance management at CaptivateIQ. Leading technical roadmap and mentoring engineers in complex projects.
Senior Director driving AI adoption and collaboration at Massachusetts AI Hub. Leading strategic resource orchestration for data and compute resources to impact economic growth and societal challenges.
Senior Software Engineer designing and implementing solutions for Agentic AI. Working on scalability and robustness for distributed systems and AI features.
Director of UX and Research leading user experience vision for Cisco’s enterprise AI platform CIRCUIT. Defining design systems and promoting data - informed design culture for intuitive user interactions.
AI Engineer developing complex systems that no - code tools can’t handle for Aspire Software's portfolio. Focus on automation challenges, AI product features, and log intelligence.
AI Engineer - Consultant developing intelligent solutions for clients and integrating them into existing processes. Join pmOne in Köln or München for a transformative journey in AI.
Senior Developer role developing AI - driven software solutions at PwC Canada. Collaborating across teams to create and implement advanced Generative AI tools and microservices.
AI Engineer developing and maintaining AI APIs and microservices using Python and Node.js for financial products. Collaborating on LLM pipelines and integrating language models into business flows.