{"id":162682,"url":"https://alion.io/job/levio-mlai-engineer","title":"Forward Deployed Engineer","company":{"id":58180,"name":"Levio","domain":"levio.ca","url":"https://alion.io/company/levio","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":79,"open_postings":42,"ghost_share":0.262,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":171,"computed_at":"2026-10-16T05:45:00Z"}},"role":"Solutions","role_family":"Solutions","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Canada"],"countries":["CA"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":77000,"max_usd":155000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":37},"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"Azure","optional":false},{"name":"GCP","optional":false},{"name":"GDPR","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM Evaluation","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"OpenAI","optional":false},{"name":"RAG","optional":false},{"name":"Tool Use","optional":false},{"name":"LangChain","optional":true}],"status":"live","first_seen_at":"2026-05-15T15:03:41Z","employer_posted_date":"2026-09-25","last_verified_at":"2026-10-16T11:37:57Z","board_verified":true,"closed_at":null,"days_open":154,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":153},"description":"Are you looking to thrive in a stimulating work environment? \nJoin Levio, a leader in digital transformation, and take your career to the next level. You will work alongside high-caliber professionals on ambitious, large-scale technology projects, directly embedded in our clients’ environments. At Levio, we value expertise, curiosity, and continuous improvement - and we give you the space to grow. \nAbout the Role\nWe embed engineers directly inside enterprise clients to find, build, and ship AI and agentic systems that reach production and stay there. A Forward Deployed Engineer - FDE runs discovery with the customer's own stakeholders, scopes the use cases worth building, then writes and deploys the working system - in the customer's environment, against their data, under their security and governance constraints.\nThis is a build-with-the-customer role, not an advisory one. You are the person in the codebase and in the room, closing the gap between an ambiguous \"we should use AI\" and a governed system operators actually trust and use. You own outcomes through real production usage - you do not hand off a slide deck or a prototype and move on.\n.\nWhy Join Levio? \nWork on complex, high impact digital transformation projects \nCollaboratewithexperienced, multidisciplinaryteams \nContinuously develop your technical and professional expertise \nEnjoy flexibility, autonomy, and a strong people first culture \nBe part of an organization that values diversity, inclusion, and innovation \nRole and Responsibilities \nRun discovery with the customer's business stakeholders and turn open-ended \"we should use AI\" asks into scoped use cases, ranked by ROI, data readiness, and technical feasibility.\nBuild and ship production GenAI and agentic systems end to end - retrieval (RAG), agent orchestration and tool/MCP integration, evaluation harnesses, and the surrounding application and data plumbing.\nDeploy inside the customer's environment and constraints: their cloud, their security posture, their data governance - not a sandbox you control.\nDesign for trust - keep business-critical logic (pricing, rules, calculations) in deterministic code paths, build evaluation and human-in-the-loop review, and know when model output is safe to put in front of operators.\nEmbed and enable: document the system, run walkthroughs, and lift adoption - while owning the system through real production use, not until the demo.\nPresent architecture, cost, and delivery trade-offs directly to non-technical decision-makers and keep them bought in.\nQualifications and Experience\nBachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related field\n6+ years of experience in engineering roles, with 3+ years in GenAI/Agentic Systems positions\nStrong communication skills and the ability to explain technical concepts and trade-offs to both technical and non-technical audiences.\nProven ownership of systems through production deployment, adoption, and iteration.\nWhat we require\nYou ship code now. Recent, hands-on, first-person production work you can walk through line by line - not architecture you directed or reviewed. If your last real commit was two years ago, this isn't the role.\nReal engineering fundamentals. You can drop into an unfamiliar codebase, debug code you didn't write, and build the thing when the platform's GUI can't express it and the AI assistant is stuck. Low-code and AI-assisted development are welcome as tools, not as the whole toolbox.\nGenuine customer-facing experience. You've been embedded with customers - in their environment, their mess, their competing priorities - and navigated ambiguity and stakeholders with no direct authority. Internal-only product work doesn't demonstrate this.\nDemonstrable production GenAI depth. You've built real RAG and/or agentic systems and can explain the mechanics - retrieval strategy, orchestration, tool-calling - and, above all, how you evaluated them and made them safe to trust. A buzzword list is not depth.\nEvaluation and guardrail instinct. You keep the stochastic model out of business-critical decisions, and you can prove your AI output is trustworthy rather than hoping it is.\nCode we can look at and claims you can substantiate in a live session. A résumé is a starting point, not evidence.\n Ownership temperament. You can own a system through production and iteration, inside a team's codebase and discipline - not only build-and-leave proofs of concept.\nStrong pluses\nRegulated-industry delivery (financial services, insurance, actuarial, wealth, pension) and comfort with its data, privacy, and governance realities - RBAC, audit, PIPEDA/GDPR.\nGoverned enterprise-AI patterns: human-in-the-loop, confidence thresholds, audit logging, escalation-path design.\nWorking depth in one or more of LangGraph or comparable agent frameworks, MCP, and AWS Bedrock / Azure OpenAI / GCP - real depth in one beats a shallow tour of all three.\nA track record of taking use cases from discovery to production with measurable, defensible outcomes.\nStrong written communication and the ability to teach - enablement is part of the job.\nWhat this role is not\nNot an architect or advisory seat. You build and deploy; you don't just diagram, cost, and present.\nNot a low-code or platform-configuration role. Platforms are means; the job is engineering.\nNot prototype-and-handoff. You own outcomes through production, not until the demo works.\nNot a solo BD or fractional-consulting arrangement. This is full-contact delivery on a team.\nHow we evaluate\nWe weight what you can demonstrate over what's on the page. Come ready to build, and bring specifics.\nA live, assistant-off exercise - extend or debug an unfamiliar codebase in front of us. This is the primary signal.\nA production deep-dive - walk us through what broke in production, how you found it, and how you knew your AI output was safe to trust.\nA discovery role-play - turn an ambiguous stakeholder ask into a scoped, ROI-ranked use case, out loud.\nA depth check on your own claims - pick your strongest AI project and go as deep as we push: the graph, the retrieval, the evals, the guardrails.\nFit check\nYou'll thrive here if:\nYou'd rather ship a working system in a customer's messy environment than produce the perfect architecture diagram.\nYou're energized by ambiguity and being the most accountable person in the room.\nYou treat \"the model said so\" as the start of the work, not the end.\nThis isn't for you if:\nYou've moved into full-time architecture, strategy, or team leadership and don't miss the code.\nYour AI experience is mostly demos, courses, or platform configuration.\nYou want to advise and hand off rather than build and own.\nBenefits and Work Environment \nLevio offers a comprehensive and flexible benefits package designed to support your professional growth and personal wellbeing, including: \n4 weeks of cumulative vacation starting from day one \nFlexible workinghours \nProfessional Development Allowance (PDA) for training, computer equipment, and physical activities \nTraining tailored to your areas of expertise \nRegistered Retirement Savings Plan (RRSP) with employer contribution up to 3% of gross salary \nModular group insurance plan \nPublic transportation or parking reimbursement when required \nReferralbonuses \n11 statutoryholidays \nPersonaldays \nAn active social life (5to7 events, social club, healthy snacks, coffee, and more) \nPosition Details \nEmployment type: Full time, permanent \n\nEmployment Equity \nLevio subscribes to the principle of employment equity and applies an equal access employment program for women, Indigenous peoples, visible minorities, ethnic minorities, and persons with disabilities. \nWe value diversity and inclusion and are committed to creating a healthy, accessible, and rewarding work environment that highlights the unique contributions of our employees. Accommodations are available upon request for candidates participatingin all aspects of the selection process.","description_format":"text","description_chars":7977,"description_truncated":false,"requirements":{"experience_years_min":6,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Equity","Flexible schedule","Professional development","Retirement plans"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["IT Consulting & Digital Transformation","Management Consulting"],"lifecycle":[{"event":"open","at":"2026-05-15T15:03:41Z"}],"visa":[],"liveness":{"score":41,"band":"fade","label":"Fading","p_open":1,"p_active":0.678,"p_room":0.6,"age_days":153,"expected_fill_days":171,"reasons":["conf:3","win:late","crowd:"],"computed_at":"2026-10-16T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/levio-mlai-engineer","json_url":"https://alion.io/job/levio-mlai-engineer.json","meta":{"generated_at":"2026-10-16T15:47:32Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":7,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-17T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":58180},"rest":"https://alion.io/mcp/rest/get_company?id=58180"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Flevio-mlai-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Flevio-mlai-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Flevio-mlai-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/levio-mlai-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Flevio-mlai-engineer"}]}