{"id":3977728,"url":"https://alion.io/job/eeconsulting-senior-ai-engineer","title":"Senior AI Engineer","company":{"id":4431654,"name":"Eeconsulting","domain":"eeconsulting.com","url":"https://alion.io/company/eeconsulting","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":{"grade":"B","score":75,"open_postings":4,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-11-09T06:03:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Montreal, Canada"],"countries":["CA"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Docker","optional":false},{"name":"Embeddings","optional":false},{"name":"GCP","optional":false},{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"SQL","optional":false},{"name":"TensorFlow","optional":false}],"status":"live","first_seen_at":"2026-11-09T17:57:06Z","employer_posted_date":"2026-11-09","last_verified_at":"2026-11-10T00:15:54Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Ayata.AI | Senior AI Engineer\nMontreal, QC | Hybrid, 2-3 days per week onsite | Ayata.AI\nAbout\nAyata develops AI-powered software for complex industry problems. We are looking for a Senior AI Engineer to design and build solutions that use AI to understand, transform, migrate, and improve software systems and codebases. This is a hands-on role combining applied AI, software engineering, and cloud delivery.\nJob Responsibilities and Duties\nBuild AI-assisted solutions for code analysis, system transformation, refactoring, and migration. \nAnalyze application architecture, source code, dependencies, data, metadata, and logs. \nDesign and integrate generative AI, NLP, retrieval, and other machine learning capabilities into migration workflows. \nDevelop reliable pipelines to generate, test, validate, and deploy transformed code and software components. \nCreate evaluation methods for functional correctness, regression, performance, security, and maintainability. \nBuild cloud-based AI services, APIs, data pipelines, and automation for production use. \nApply sound software engineering practices, including clean code, testing, documentation, versioning, and traceability. \nProvide technical guidance and mentor engineers while remaining directly involved in design and development. \n Qualifications\n5-10 years of relevant experience in software engineering, AI, machine learning, or system modernization. \nMSc or PhD in Computer Science, Machine Learning, Software Engineering, or a related field. \nStrong Python programming skills and experience delivering production software. \nExperience with generative AI, NLP, embeddings, retrieval-augmented generation, or related AI methods. \nExperience with PyTorch, TensorFlow, or equivalent machine learning frameworks. \nStrong understanding of software architecture, APIs, dependency management, testing, and system integration. \nExperience working with structured and unstructured data, SQL, and data transformation pipelines. \nExperience with cloud platforms such as Azure, AWS, or Google Cloud, and container technologies such as Docker. \nAbility to explain technical decisions clearly and work effectively in evolving problem spaces. \nAdditional Qualifications\nExperience with code intelligence, static analysis, parsers, abstract syntax trees, compilers, or dependency graphs. \nExperience migrating or modernizing applications across languages, frameworks, databases, or cloud environments. \nExperience with MLOps tools, model evaluation, experiment tracking, monitoring, and scalable inference. \nExperience building developer tools or AI-assisted software engineering platforms. \nExperience with enterprise systems in Energy, Insurance, Healthcare, or another regulated industry.","description_format":"text","description_chars":2736,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[{"language":"English","level":"All 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