Senior Applied AI Engineer

This is a fully remote position, open to applicants in Canada.

📋 Description

• Act as a forward-deployed AI specialist within Clariti's product teams.

• Transform machine learning research into production-ready features, including LLMs, agentic AI workflows, computer vision, and multimodal learning.

• Take ownership of the computer vision and agentic AI problem domains.

• Choose and modify architectures and strategies for training and fine-tuning.

• Design and implement experiments from start to finish.

• Assess model performance and decide on the approaches to pursue.

• Identify significant opportunities for enhancing AI systems.

• Balance trade-offs among model accuracy, interpretability, latency, and cost.

• Share insights with research colleagues and enhance experimental rigor.

• Remain updated on techniques, benchmarks, and tools in computer vision, generative AI, NLP, and multimodal learning.

• Integrate with product teams and collaborate with product and engineering managers.

• Define problems, create proofs of concept, and implement solutions in production using MLOps tools and infrastructure.

• Present proposed methods to the CivCheck AI Research team for design feedback.

• Report to the CivCheck AI Research team while collaborating daily with product and engineering managers.

⛳️ Requirements

• 7–10 years of practical experience in applied AI/ML within the industry.

• Proven history of delivering models and systems that address real business challenges.

• Experience as the lead or sole AI expert on a project, advancing work from proof of concept to production.

• Proficient in MLOps practices and infrastructure, including CI/CD for models, containerization, deployment, and monitoring.

• Ability to work independently within cross-functional teams.

• Experience in developing agentic AI workflows and LLM-powered applications in production, including retrieval, tool usage, evaluation, and guardrails.

• Experience in training and fine-tuning models using contemporary frameworks.

• Background in computer vision and image processing, encompassing 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.

• Proficient in end-to-end ML workflows on AWS, Azure, or GCP.

• Software engineering expertise including Git, testing, API design, and modular code.

• Strong experimental and statistical intuition.

• Excellent communication abilities.

• Successful candidates will undergo thorough background checks.

• Candidates should be willing to travel occasionally for in-person meetings.

• Bonus: experience in forward-deployed, embedded, or solutions engineering roles.

• Bonus: experience in developing high-accuracy computer vision systems with strict tolerances.

• Bonus: exposure to construction, building, civic-tech, or regulatory/compliance fields.

🏝️ Benefits

• Competitive compensation packages.

• Paid time off.

• Health benefits for you and your family.

• Occasional travel for company-wide or departmental meetings, typically 1–2 times per year.

• Accommodations and support during the application, interview, testing, and hiring processes.