What are the responsibilities and job description for the AI Engineer position at Cross Screen Media?
About Cross Screen Media
Cross Screen Media empowers political and public affairs organizations to plan, activate, and measure video advertising campaigns. We combine proprietary software and best-in-class campaign execution to help our customers win their toughest elections and policy fights.
We're seeking a junior-to-mid level AI Engineer with hands-on experience building and deploying AI agents in production environments. You must be comfortable moving fast in a loosely structured environment, and you should have an opinion on which LLMs are good at different tasks -- if you're missing a few of the specifics below, apply anyway!
Key Responsibilities
Cross Screen Media empowers political and public affairs organizations to plan, activate, and measure video advertising campaigns. We combine proprietary software and best-in-class campaign execution to help our customers win their toughest elections and policy fights.
- We help customers plan – Our proprietary software helps customers build custom audiences and plans cross-screen media buys.
- We place digital & CTV ads – Our team manages the full buying process—from the initial pitch to the final report—turning projects around quickly and using analytics to maximize performance.
- We measure results – Our reporting delivers clear reach and frequency insights across TV and digital/CTV, giving customers a holistic view of their video advertising.
We're seeking a junior-to-mid level AI Engineer with hands-on experience building and deploying AI agents in production environments. You must be comfortable moving fast in a loosely structured environment, and you should have an opinion on which LLMs are good at different tasks -- if you're missing a few of the specifics below, apply anyway!
Key Responsibilities
- Build and deploy production-ready AI agents for data processing, data analysis, and workflow automation
- Implement monitoring, error handling, and reliability patterns for AI agent systems
- Build & troubleshoot infrastructure as needed to support agent deployments
- Use evals to measure & improve agent performance
- Work with product management & internal teams to define agent behavior
- Participate in on-call rotation for AI system reliability and incident response
- Help define how we build agentic systems as we transition to building customer-facing features
- 1-3 years of software engineering experience with at least 1 years working with AI/ML systems
- Production AI agent experience - you've built, deployed, and maintained AI agents or autonomous systems in production
- Python proficiency with hands-on experience in AI frameworks, including agents & RAG libraries
- API and integration experience - comfortable working with REST APIs, webhooks, and third-party integrations
- Database experience with SQL and familiarity with data warehouses (Snowflake experience is a plus)
- Infrastructure experience - Docker, AWS/cloud platforms, CI/CD pipelines, K8s, monitoring tools
- AI development tools - you believe in staying on the edge of AI development tools and know how to optimize them for your workflow
- Recognition and reward for outstanding performance, with high bonus potential
- Career advancement opportunities
- Great medical, dental & vision Insurance packages
- Competitive 401K with company match to plan for the long term
- Unlimited paid-time-off
- Transportation benefits & cell phone reimbursement
- Unfortunately we are not able to sponsor visas for this position.
