Senior AI Platform Engineer: LLMs & Production Systems

CV in; Northern (KY); Hybrid; USD 140,000 - 200,000; Full time

Job summary

CV in is seeking an experienced AI systems engineer to architect and deliver end-to-end AI capabilities powering our revenue orchestration platform. You will own the lifecycle of intelligent features from concept to production deployment, partnering with product and data teams to translate complex AI requirements into scalable software solutions.

The role requires deep expertise in large language models, retrieval augmented generation, and production ML operations, with a focus on safety,

Qualifications

• : 5+ years software engineering focused on AI/ML in production.

Responsibilities

• Architect and implement retrieval augmented generation systems for revenue workflows.
• Construct evaluation frameworks and benchmarks for AI models in production.
• Design interfaces that unlock LLM integrations for go-to-market teams.
• Establish data collection pipelines, labeling strategies, and feedback loops.
• Partner with product, design, and data teams to identify AI value opportunities.
• Engineer reusable AI infrastructure to speed feature development and reduce time to market.
• Implement AI safety mechanisms, monitoring dashboards, and QA processes.
• Showcase AI features to internal audiences and gather feedback for roadmap.
• Keep current with AI research to keep products cutting edge.
• Collaborate with data scientists to translate experiments into production services.
• Optimize system performance, latency, and reliability for AI workloads.
• Document designs and APIs for long-term ownership.
• Lead code reviews and mentor junior engineers.

Skills

LLM systems

Retrieval augmented generation

Production ML

Model deployment

Prompt engineering

System performance

Vector databases

Semantic search

AI safety

Cross-functional collaboration

Tools

MLflow

Weights & Biases

Kubeflow

Job description

CV in is seeking an experienced AI systems engineer to architect and deliver end-to-end AI capabilities powering our revenue orchestration platform. You will own the lifecycle of intelligent features from concept to production deployment, partnering with product and data teams to translate complex AI requirements into scalable software solutions.

The role requires deep expertise in large language models, retrieval augmented generation, and production ML operations, with a focus on safety,