Senior Applied AI Engineer
Confirmed on the employer's own hiring board on Oct 21, 2026. First seen by Alion on Oct 20, 2026.
Join Clariti as a Senior Applied AI Engineer, where you'll be a key player in transforming our products with cutting-edge AI technology. You'll work closely with product and engineering managers, driving projects from concept to production. The ideal candidate has extensive experience in applied AI, strong communication skills, and a passion for solving complex problems. Enjoy a flexible work culture, professional development opportunities, and a motivated team.
Missions
- Conduire des projets d'IA de bout en bout, de la définition du problème à la mise en production.
- Sélectionner et adapter les architectures et les stratégies d'entraînement pour obtenir les meilleurs résultats sur des données réelles complexes.
- Collaborer avec les équipes produit pour identifier où l'IA peut créer le plus de valeur pour les clients.
Profil recherché
- 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
- Deep, demonstrated experience training and fine-tuning models using modern frameworks, including defining architectures, curating and cleaning datasets, tuning training parameters, and diagnosing training and validation performance
- Sharp experimental and statistical intuition; comfortable making decisions from messy, incomplete results and separating critical unknowns from nice-to-haves
- Strong proficiency in Python and experience with PyTorch, TensorFlow, JAX, or similar deep learning frameworks
- Hands-on fluency with MLOps practices and infrastructure, including CI/CD for models, containerization, deployment, and monitoring
- 7-10 years of hands-on experience in applied AI/ML in industry, with a track record of shipping models and systems that solved real business problems
- Strong experience building agentic AI workflows and LLM-powered applications in production, including retrieval, tool use, evaluation, and guardrails
- Excellent communication skills: you can align stakeholders, justify trade-offs, write clear design proposals, and explain AI concepts to engineers, executives, and customers alike
- Strong software engineering skills, including Git, testing, API design, and modular code that integrates cleanly into existing products and that non-ML engineers can maintain
- Hands-on experience with end-to-end ML workflows on cloud platforms such as AWS, Azure, or GCP
- A proven ability to operate independently inside cross-functional teams, working closely with product managers, engineering managers, and nontechnical stakeholders
- Significant experience with computer vision and image processing, including feature extraction, object detection, segmentation, and geometric transformations
- Interest in the ethical implications of AI technology and responsible AI development and design
- Experience in a forward-deployed, embedded, or solutions engineering role, bringing AI into teams or products that didn't have it before
- Preference for or comfort thriving in an early-stage or startup environment
- Experience developing computer vision systems requiring high accuracy and reliability under strict tolerances - for example, in autonomous vehicles, medical imaging, or industrial inspection
- Exposure to the construction, building, civic-tech, or regulatory/compliance domains