Lead AI Engineer, Business Operations (Hybrid or Remote)

AFL · Dallas, TX · 3 wk ago

EngineeringFull-time

Establishes the architectural patterns, evaluation practices, and deployment standards for the team
Makes framework and model recommendations that set the foundation for how the team builds — evaluates orchestration frameworks, selects deployment patterns, trains and fine-tunes models, and determines where managed platforms end and custom build begins

Translates proposed business solutions into technical plans — defines product life cycles, prioritizes the backlog, and breaks initiatives into buildable work
Owns solutions end-to-end: technical planning, architecture, build, deploy, and the monitoring that keeps them honest in production

Builds the monitoring, evaluation, and regression detection systems that keep production agents reliable — including logging, performance benchmarking, and feedback loops that surface drift early

Partners with data governance to ensure solutions meet compliance, data quality, and operational standards

Bachelor's degree in Computer Science or related field, or equivalent experience
7+ years of software engineering experience with a strong full-stack foundation — backend services, API design, system integration, and data infrastructure
Recent hands-on experience building AI or LLM-backed systems and shipping them to production
Experience architecting solutions from scratch and owning them through deployment, observability, testing, and ongoing reliability
Experience with AI development practices — model selection, fine-tuning, prompt engineering, evaluation frameworks, and understanding when each approach is the right fit
Proficiency in Python; experience with cloud platforms
Experience mentoring engineers and setting technical direction across multiple initiatives
Strong communication skills with both technical and non-technical stakeholders

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