Senior Applied AI Engineer

• We’re seeking a Senior Applied AI Engineer to serve as a forward-deployed AI expert across Clariti’s product teams
• You’ll turn the latest machine learning research into practical, production-ready features, spanning large language models (LLMs), agentic AI workflows, computer vision, and multimodal learning
• You’ll report into our CivCheck AI Research team, the home of Clariti’s AI expertise, but your day-to-day work will be embedded with product and engineering managers across the company
• On these projects, you’ll often be the AI specialist, bringing expertise in model selection, deployment, and agentic AI to bring brand-new capabilities in an AI-native transformation of Clariti’s existing products
• That means you’ll drive projects end to end: scoping the problem, building the proof of concept, and taking it all the way to production with our MLOps tooling and infrastructure
• You’ll bring your proposed approaches to the CivCheck AI Research team for design feedback, giving you a strong peer group for technical rigor while you own delivery within your product team
• The ideal candidate has spent years doing applied AI work in industry, is comfortable being the go-to AI person on a cross-functional team, and is energized by hard, open-ended problems in a lean, fast-moving environment
• Own computer vision and agentic AI problem domains, selecting and adapting architectures and training/fine-tuning strategies for the best results on complex, unstructured real-world data
• Drive the design and execution of experiments end to end, from framing the question to evaluating model performance and deciding what’s worth pursuing
• Help shape technical direction by identifying high-impact opportunities to improve our AI systems, drawing on applied experience and practical judgment
• Make pragmatic trade-off calls across model accuracy, interpretability, latency, and cost, and directly own decisions in communication with stakeholders
• Share your experience with research teammates and help raise the bar for experimental rigor in a collaborative environment
• Stay current on techniques, benchmarks, and tooling across computer vision, generative AI, NLP, and multimodal learning — and bring the useful ones into practice
• Embed with product teams across Clariti, partnering with product and engineering managers to identify where AI can create the most value for our customers

Benefits

• Flexible Work Culture
• Professional Development
• Team Building Events/Outings
• Motivated Team
• Corporate Bonus Plan

• Demonstrated experience as the lead or sole AI expert on a project, taking your own work from proof of concept through to production without relying on a dedicated ML engineering team
• Familiarity with diffusion models, model distillation, or multimodal architectures in production