{"id":1323945,"url":"https://alion.io/job/yo-ai-labs-aiml-engineer-remote-5","title":"AI/ML Engineer - Remote","company":{"id":3824455,"name":"YO AI Labs","domain":"yoailabs.com","url":"https://alion.io/company/yoailabs","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Manatal","truth_index":{"grade":"A","score":100,"open_postings":8,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":11,"computed_at":"2026-10-14T06:34:16Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Edmonton, Canada"],"countries":["CA"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":200,"max":350,"currency":"CAD","period":"hour","gross":null,"usd_annual":492000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Function Calling","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"Tool Use","optional":false},{"name":"Vertex AI","optional":false},{"name":"Anthropic","optional":true},{"name":"Gemini","optional":true},{"name":"Model Context Protocol","optional":true},{"name":"OpenAI","optional":true}],"status":"live","first_seen_at":"2026-09-27T00:30:34Z","employer_posted_date":"2026-09-27","last_verified_at":"2026-10-14T16:29:19Z","board_verified":true,"closed_at":null,"days_open":17,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":17},"description":"AI/ML Engineer\nJob Type: Full-Time\nLocation: Remote\nJob Summary\nWe are seeking an experienced AI/ML Engineer to build and deploy secure, scalable AI solutions for mission-critical initiatives while contributing to proprietary AI infrastructure. You will work with LLMs, RAG, prompt engineering, multi-agent systems, and cloud AI platforms to develop production-grade machine learning applications.\nKey Responsibilities\nDesign, implement, and optimize AI/ML solutions using LLMs, RAG, and prompt engineering.\nDevelop and orchestrate multi-agent systems using LangGraph and LangChain.\nDeploy AI solutions across secure cloud environments such as AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.\nBuild robust ETL and data pipelines, metadata catalogs, and ontologies for AI training and inference.\nDevelop and maintain REST APIs and SDK integrations.\nCollaborate with product, security, and engineering teams to deliver secure, scalable solutions.\nFollow modern secure coding, DevOps, and CI/CD practices.\nDocument technical decisions and communicate complex concepts effectively to technical and non-technical stakeholders.\nRequired Skills & Qualifications\nStrong Python proficiency for AI/ML development, including REST APIs and SDK integrations.\nHands-on production experience with LLMs, RAG, and prompt engineering.\nExperience with multi-agent orchestration, tool use, LangGraph, and LangChain.\nStrong knowledge of cloud AI services, including AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.\nExperience building data pipelines, ETL processes, metadata catalogs, and ontologies.\nStrong understanding of secure coding and CI/CD practices.\nExcellent written and verbal communication skills.\nPreferred Qualifications\nExperience with enterprise AI platforms such as Anthropic for Gov, OpenAI Enterprise, Gemini Enterprise, or Grok Enterprise.\nKnowledge of MCP, metadata catalog platforms, and advanced API development.\nExperience working in government, regulated, or security-sensitive cloud environments.\nFamiliarity with relevant compliance and security 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