Note: The job is a remote job and is open to candidates in USA. CyberCoders is a leading digital agency in the automotive martech space, managing significant advertising spend and complex customer data ecosystems. They are looking for a Senior AI Engineer / Strategist to architect and build a generative AI creative engine that automates the production of compliant digital ad assets while integrating dealership data.
Responsibilities
- Architect the GenAI Creative & Compliance Engine: Design and deploy a scalable AI infrastructure capable of mass-producing digital advertising creatives (static images, video components, dynamic ad copy) for thousands of dealership accounts simultaneously
- Build Automated, Rules-Based Guardrails: Program the engine using advanced LLM pipelines and evaluation frameworks to understand, adapt to, and enforce complex compliance rules. This includes localized "laws of the land" (US, states, Canada) and strict OEM guidelines (e.g., ensuring exact vehicle trims, pricing syntax, and brand-approved terminology are displayed)
- Data Integration & Scaling: Oversee the syncing and orchestration of distributed data environments (spanning thousands of dealership profiles, OEM data feeds, and CRM layers) to ensure real-time accuracy in ad generation
- Optimize Production Pipelines: Transform our current $7M manual compliance and creative resource structure into a high-availability, low-latency automated workflow, heavily optimizing systems to handle millions of sessions and high-throughput asset generation
- Drive Full-Lifecycle MLOps: Establish robust CI/CD, data drift monitoring, automated testing, and evaluation pipelines to ensure the reliability, observability, and precision of deployed models
- Collaborate as a Technical Leader: Partner with cross-functional product teams to turn structured feedback into rapid iterations, outmaneuvering boutique agencies with speed while leveraging our $250M enterprise data advantage
Skills
- Over a decade of software engineering experience with a proven track record of shipping production-grade AI/ML/NLP applications serving millions of users
- Direct experience with modern AI frameworks (e.g., Pydantic AI, DeepEval, Claude/GPT models) is highly valued
- Deep expertise in Python, modern cloud environments (AWS ECS/Fargate, Sagemaker, Terraform), microservices, and containerization
- Strong background handling highly distributed architectures, orchestrated services, and high-redundancy relational databases (PostgreSQL) containing millions of structured and unstructured records
- Proven ability to balance high-level system strategy with rapid, hands-on coding iteration
- Experience guiding product vision and technical architecture simultaneously
- Past experience building or scaling products within MarTech, e-commerce, or intelligent AI-driven CRM systems is highly preferred
Benefits
- 100% Remote Flexibility: Work from anywhere in the United States or Canada.
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