Senior Applied AI Engineer

Job not on LinkedIn

🔥 5 minutes ago

🇨🇦 Canada – Remote

💵 $150k - $180k / year

⏰ Full Time

🟠 Senior

🤖 AI Engineer

👻 Ghost score 0%

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Logo of Clariti

Clariti

51 - 200 employees

🏛️ Government

🏢 Enterprise

Government • Enterprise • Software

Clariti is a provider of community development solutions, offering permitting software tailored to governments of all sizes. Their range of products includes solutions for large governments with complex requirements as well as smaller municipalities in need of quick and easy-to-manage systems. Clariti's products are designed with flexibility, allowing users to customize and adjust without deep IT knowledge. They emphasize functionality and support, ensuring that local governments can efficiently serve their communities. Clariti's clientele includes leading governments across North America, demonstrating their capability to deliver robust and reliable permitting systems.

📋 Description

• Serve as a forward-deployed AI expert across Clariti's product teams • Turn machine learning research into production-ready features spanning LLMs, agentic AI workflows, computer vision, and multimodal learning • Own computer vision and agentic AI problem domains • Select and adapt architectures and training/fine-tuning strategies • Design and execute experiments end to end • Evaluate model performance and determine which approaches to pursue • Identify high-impact opportunities to improve AI systems • Make trade-offs across model accuracy, interpretability, latency, and cost • Share experience with research teammates and improve experimental rigor • Stay current on techniques, benchmarks, and tooling across computer vision, generative AI, NLP, and multimodal learning • Embed with product teams and partner with product and engineering managers • Scope problems, build proofs of concept, and take solutions through production using MLOps tooling and infrastructure • Bring proposed approaches to the CivCheck AI Research team for design feedback • Report into the CivCheck AI Research team while working day to day with product and engineering managers

🎯 Requirements

• 7–10 years of hands-on experience in applied AI/ML in industry • Track record of shipping models and systems that solved real business problems • Experience as the lead or sole AI expert on a project, taking work from proof of concept through production • Fluency with MLOps practices and infrastructure, including CI/CD for models, containerization, deployment, and monitoring • Ability to operate independently inside cross-functional teams • Experience building agentic AI workflows and LLM-powered applications in production, including retrieval, tool use, evaluation, and guardrails • Experience training and fine-tuning models using modern frameworks • Experience with computer vision and image processing, including feature extraction, object detection, segmentation, and geometric transformations • Familiarity with diffusion models, model distillation, or multimodal architectures in production • Strong proficiency in Python • Experience with PyTorch, TensorFlow, JAX, or similar deep learning frameworks • Experience with end-to-end ML workflows on AWS, Azure, or GCP • Software engineering skills including Git, testing, API design, and modular code • Experimental and statistical intuition • Excellent communication skills • Successful candidates must undergo comprehensive background checks • Candidates must be able to participate in occasional travel for in-person meetings • Bonus: experience in forward-deployed, embedded, or solutions engineering roles • Bonus: experience developing high-accuracy computer vision systems under strict tolerances • Bonus: exposure to construction, building, civic-tech, or regulatory/compliance domains

🏖️ Benefits

• Competitive compensation packages • Time off • Benefits to keep you and your family healthy • Occasional travel for in-person company-wide or departmental meetings, typically 1–2 times per year • Accommodations and support during the application, interview, testing, and hiring process

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