{"id":144815,"url":"https://alion.io/job/artefact-ai-agentic-engineer-senior","title":"AI & Agentic Engineer, Senior","company":{"id":53062,"name":"Artefact","domain":"artefact.com","url":"https://alion.io/company/artefact-com","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":74,"open_postings":115,"ghost_share":0.348,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":124,"computed_at":"2026-10-17T05:46:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"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":{"min_usd":70000,"max_usd":127000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":56},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Anthropic","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude","optional":false},{"name":"Claude Code","optional":false},{"name":"Cursor","optional":false},{"name":"Embeddings","optional":false},{"name":"Function Calling","optional":false},{"name":"GCP","optional":false},{"name":"Gemini","optional":false},{"name":"Google ADK","optional":false},{"name":"Hybrid Search","optional":false},{"name":"JavaScript","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Machine Learning","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"OpenAI","optional":false},{"name":"OpenAI Agents SDK","optional":false},{"name":"OpenAI Codex","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"React.js","optional":false},{"name":"TypeScript","optional":false},{"name":"Vertex AI","optional":false},{"name":"Langfuse","optional":true},{"name":"LangSmith","optional":true},{"name":"Promptfoo","optional":true},{"name":"Terraform","optional":true}],"status":"live","first_seen_at":"2026-08-20T00:02:16Z","employer_posted_date":"2026-10-01","last_verified_at":"2026-10-18T03:41:15Z","board_verified":true,"closed_at":null,"days_open":59,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":58},"description":"Artefact is a next-generation data and AI consulting firm dedicated to accelerating the adoption of data and AI to create measurable business impact across the full enterprise value chain.\nWe sit at the intersection of consulting, data science, AI technologies, data engineering, and digital transformation. We do not just advise - we build, implement, and deliver results our clients can measure. Our teams bring together consultants, data scientists, data engineers, AI engineers, analysts, and digital experts to solve complex business challenges with pragmatic, production-ready solutions.\nAs Artefact continues to grow globally, we are building a team of entrepreneurial data and AI talent who can help clients move beyond experimentation and into scalable, governed, value-generating AI adoption.\nThe Role\nArtefact is looking for a Senior AI & Agentic Engineer: a full-stack engineer who takes AI features from idea to production.\nYou will design and build the interfaces, services, and agentic systems at the heart of our client work, such as conversational applications over enterprise data, multi-step agents that automate business workflows, and the retrieval and data pipelines that support them. You will own your components end to end: the React front end, the Python or Node service behind it, the RAG pipeline feeding it, and the evaluations proving it works.\nThis role combines breadth and depth: the ability to take a feature from front end to cloud deployment, together with strong expertise in at least one major AI platform - Google (Gemini), Anthropic (Claude), or OpenAI.\nYou will work with direct client exposure, and you will support the professional development of the junior engineers around you.\nWhat You'll Do\nBuild Full-Stack AI Applications, End to End\nYou will build AI products across the entire stack, from interface to infrastructure.\nDevelop user-facing interfaces in TypeScript/React and the backend services and APIs behind them in Python or Node.\nImplement agentic behavior: orchestration, tool and function calling, memory, and guardrails.\nBuild retrieval-augmented generation (RAG) pipelines: ingestion, chunking, embeddings, vector and hybrid search.\nConnect AI systems to enterprise data and applications via APIs, semantic layers, and protocols such as MCP.\nMake AI Systems Production-Grade\nOur standard is production quality: systems that are reliable, monitored, and maintainable.\nWrite evaluation suites and regression tests for LLM-powered features, and monitor cost, latency, and quality in production.\nApply solid engineering practice: version control, code review, automated testing, CI/CD, and observability.\nDeploy on cloud infrastructure (GCP, Azure, or AWS) using containers, serverless, and infrastructure-as-code.\nBuild and maintain the data pipelines that feed AI systems, across warehouses, lakehouses, and vector stores.\nWork AI-Natively and Client-Facing\nOur engineers work AI-natively and represent Artefact directly with clients.\nUse agentic coding tools (Claude Code, Gemini CLI, Codex, Cursor) daily, with good judgment about verification and review.\nCommunicate progress, trade-offs, and blockers clearly to clients and project leads.\nSupport pre-sales when needed: scope solutions, build demos, and estimate effort with our partnership and consulting teams.\nMentor junior engineers and contribute to internal accelerators, reusable components, and engineering standards.\nWhat We're Looking For\nRequired Experience\n3-5 years of experience in software engineering or data engineering, with extensive hands-on use of AI tools and LLM-based development over the past year (professional projects, internal initiatives, or substantial personal builds).\nProfessional English proficiency mandatory. You will work daily with international clients and colleagues.\nStrong programming skills in Python and TypeScript/JavaScript, and experience building and consuming APIs.\nExperience with front-end development (React or similar) and at least one backend framework.\nHands-on experience with RAG, embeddings, and vector search, and with at least one agentic framework (LangGraph/LangChain, Google ADK, Claude Agent SDK, or OpenAI Agents SDK).\nSpecialization in at least one major AI platform ecosystem - Google (Gemini, Vertex AI, Gemini Enterprise), Anthropic (Claude, Managed Agents, MCP), or OpenAI (Responses API, AgentKit) - and working experience with one cloud platform (GCP, Azure, or AWS).\nFluency with agentic coding tools such as Claude Code, Gemini CLI, Codex, or Cursor.\nExperience building and maintaining data pipelines.\nBachelor's or Master's degree in computer science, engineering, or a related field, or equivalent practical experience.\nCertifications\nA certification on at least one major AI platform or cloud is a strong differentiator at application. If you do not hold one yet, obtaining one within your first 2 months in the role is a requirement - Artefact sponsors the exam and gives you time to prepare.\nExamples: Claude Certified Developer - Foundations (Anthropic), Google Cloud Professional Machine Learning Engineer, Google Cloud Generative AI Leader, Microsoft Azure AI Engineer Associate, or equivalent AWS credentials.\nPreferred Experience\nExperience with MCP servers, multi-agent patterns, or LLM evaluation tooling (LangSmith, Langfuse, promptfoo).\nExperience with Terraform or CI/CD pipelines.\nKey Capabilities\nA strong candidate will bring:\nBreadth across the full stack, with depth in at least one AI platform\nOwns features end to end, from interface to infrastructure\nCares about evaluation and reliability, not just the happy path\nCommunicates clearly in demos, documents, and code review\nClient-facing mindset: understands client needs and translates business requirements into technical solutions\nLearns new tools and models fast, and shares what works\nWhy Join Artefact\nAt Artefact, data and AI are not abstract strategy topics. They are tools for creating business value, improving organizations, and helping people make better decisions.\nYou will join a global community of data and AI experts who combine consulting, engineering, data science, marketing, and technology expertise. You will work on complex, high-impact problems with leading organizations and help shape how enterprises adopt AI responsibly and effectively.\nWe value action, collaboration, learning, client trust, and shared knowledge. We believe that technology only matters when it is used, adopted, and translated into impact.\nOur values aren't decorations on a wall - they're how we actually work:\nThere is always a way - We're builders and problem-solvers. An idea only counts if it gets executed.\nClient trust is won in the field - We show up, sleeves rolled up, working side by side with our clients.\nIf it's not used, it's useless - We build for adoption and impact, not for slide decks.\nIf it's not shared, we're not done - Knowledge shared compounds. We invest in each other's growth.\nWe learn every day - In a field that moves this fast, standing still means falling behind. We embrace the challenge.\nHow We Support Our People\nIn addition to our values-driven culture, we offer a range of benefits and programs designed to support our employees' growth and well-being, including:\nLearning and Development: Work alongside a multidisciplinary team of AI, data, and consulting experts who are committed to continuous learning, knowledge sharing, and professional growth.\nHybrid Flexibility: Our hybrid work model gives you the flexibility to balance collaboration, client needs, and personal commitments.\n Comprehensive Benefits: We offer a competitive benefits package that includes medical, dental, and vision coverage, a 401(k) plan with company matching, and paid parental leave.\nTime to Recharge: We believe sustainable performance matters. That's why we offer unlimited paid time off, giving you the flexibility to take the time you need.\n Growth Opportunities: As a rapidly growing organization, you'll have the opportunity to expand your skills, take on new challenges, and help shape the future of the company.","description_format":"text","description_chars":8093,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":true},"security_clearance":false,"languages":[{"language":"English","level":"Advanced (C1)","optional":false}]},"benefits":["Continuous learning","Growth opportunities","Hybrid work","Parental leave","Professional development"],"hiring_locations":[{"name":"Canada","iso":"CA","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Management Consulting","Digital Marketing","AI Consulting & Integration","Analytics & BI Consulting"],"lifecycle":[{"event":"open","at":"2026-08-20T00:02:16Z"}],"visa":[],"liveness":{"score":62,"band":"ok","label":"Likely open","p_open":1,"p_active":0.865,"p_room":0.72,"age_days":58,"expected_fill_days":124,"reasons":["conf:0","velocity","win:mid","crowd:brand"],"computed_at":"2026-10-17T05:46:00Z"},"pay":null,"html_url":"https://alion.io/job/artefact-ai-agentic-engineer-senior","json_url":"https://alion.io/job/artefact-ai-agentic-engineer-senior.json","meta":{"generated_at":"2026-10-18T04:56:01Z","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":7468,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-19T00:00:00Z"}},"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":53062},"rest":"https://alion.io/mcp/rest/get_company?id=53062"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fartefact-ai-agentic-engineer-senior"},{"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%2Fartefact-ai-agentic-engineer-senior"},{"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%2Fartefact-ai-agentic-engineer-senior"},{"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/artefact-ai-agentic-engineer-senior\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fartefact-ai-agentic-engineer-senior"}]}