{"id":1317739,"url":"https://alion.io/job/zeder-senior-automation-ai-system-engineer","title":"Senior Automation & AI System Engineer","company":{"id":3827670,"name":"ZEDER","domain":"zedercorp.com","url":"https://alion.io/company/zeder","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"DevOps","role_family":"DevOps","seniority":"senior","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hanoi, Vietnam"],"countries":["VN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":13500,"max_usd":37000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":3299},"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"Anthropic","optional":false},{"name":"Asana","optional":false},{"name":"Bitbucket","optional":false},{"name":"Claude","optional":false},{"name":"Confluence","optional":false},{"name":"Freshdesk","optional":false},{"name":"Function Calling","optional":false},{"name":"Git","optional":false},{"name":"Google BigQuery","optional":false},{"name":"JavaScript","optional":false},{"name":"Jira","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Magento","optional":false},{"name":"Make.com","optional":false},{"name":"n8n","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"SQL","optional":false},{"name":"Structured Outputs","optional":false},{"name":"Twilio","optional":false},{"name":"Zapier","optional":false},{"name":"CI/CD","optional":true},{"name":"PHP","optional":true}],"status":"live","first_seen_at":"2026-09-21T00:00:00Z","employer_posted_date":null,"last_verified_at":"2026-09-21T00:00:00Z","board_verified":false,"closed_at":null,"days_open":30,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":30},"description":"Zeder Corporation is hiring two Senior Automation & AI System Engineer into our Automation and AI team in Hanoi. These are senior hands on engineering roles. You will take a business problem, scope it properly with the people who own the process, and then build and ship the solution yourself. The work covers three areas and you will move between all of them: conventional automation and system integration, agentic automation, and LLM assisted automation. A large part of the job is knowing which of the three a given problem actually calls for.\nTrách nhiệm công việc\nScoping and requirements\n\nMeet with department stakeholders to understand the process, the problem and the outcome they actually need.\n\nMap current state processes and identify where automation delivers real value rather than automating waste.\n\nWrite clear scoping documents covering requirements, proposed approach, systems and data involved, effort estimate and success measures.\n\nRecommend the right approach for each project, whether that is a platform workflow, an agentic system, an LLM assisted step or a code solution.\n\nPush back on requests where automation is not the right answer, and say so with reasoning.\n\nEngineering and Delivery\n\nBuild, test and deploy automations end to end, from approved scope through to production and handover.\n\nDesign integrations across our systems using REST APIs, webhooks and file based transfers, including authentication, rate limiting, pagination, retries and data mapping.\n\nWrite production JavaScript and Python for logic that a platform cannot handle properly.\n\nBuild systems that survive contact with reality: idempotent operations, sensible retry and backoff, queueing, dead letter handling, and failure states that alert someone rather than failing silently.\n\nModel and manage the data behind multi step processes, including state, queues and reconciliation.\n\nWork with our existing stack, which includes NetSuite, Microsoft Dynamics Navision, Magento 2, Freshsales, Freshdesk, Stripe, Google BigQuery, Twilio and Asana. \n\nTooling Philosophy\n\nWe use n8n as our primary automation platform and we want to keep it that way. Platform based workflows are visible, supportable and maintainable by more than one person, which matters far more over a five year horizon than elegance does. Your default should be to build on the platform where the platform can genuinely do the job. \n\nYou drop to code when the platform is the wrong tool, not when code is the more interesting option. When you do write code, it is production code: version controlled, documented, tested and deployable by someone other than you. \n\nAI and Agentic Systems\n\nBuild agentic workflows that combine planning, tool use and decision making using LLMs. \n\nIntegrate LLMs into business processes for classification, extraction, summarisation, document routing, drafting and decision support.\n\nTreat prompts as production assets: versioned, tested, and managed with attention to context, structured outputs and tool definitions. \n\nManage agent memory and state across multi step actions, and design guardrails, validation and human review points where the cost of an error is high. \n\nEvaluate output quality with a defined method rather than by impression, and monitor it after launch. \n\nControl token cost and latency as first class design constraints. \n\nRecognise when an LLM is the wrong tool and use ordinary code instead. \n\nReliability, Documentation and Support\n\nOwn the reliability of what you build, including monitoring, logging, alerting and error handling. \n\nMaintain technical documentation and runbooks in Confluence so automations can be supported by others. \n\nTrack work in Jira and Asana and keep status current without being chased. \n\nApply sound security practice around credentials, API keys, permissions and the handling of customer and commercial data. \n\nSupport and improve automations already in production, not only new builds. \n\nIn addition to the duties listed above, the position holder must carry out tasks assigned by the supervisor that are essentially related to duties.\nYêu cầu\n\nExcellent written and spoken English is essential and is weighted equally with technical ability. You will scope requirements directly with English speaking stakeholders in Australia, the United Kingdom and the United States, and you will write the documentation those stakeholders depend on. Strong technical skill will not compensate for weak English in this role.\n\nMinimum 7 years of professional experience in software development, systems integration or automation engineering. \n\nThe seven year requirement applies to software engineering, integration and automation work. We do not expect seven years of LLM or agentic experience, because the tooling has not existed that long. AI experience is assessed on depth and recency instead.\n\nStrong production level JavaScript and Python. You can solve a problem in code rather than being limited by what a platform offers.\n\nSolid engineering fundamentals: version control and branching in Git, SQL and data modelling, API design and consumption, testing, structured logging, and deployment.\n\nWorking experience with Git hosted in Bitbucket or equivalent, and with Jira, Confluence and Asana or comparable tools. You keep tickets, branches and documentation in order.\n\nPractical experience with n8n, Make.com, Zapier or an equivalent automation platform, including complex multi branch workflows running in production.\n\nDeep knowledge of APIs, webhooks, authentication methods and integration patterns, including working against poorly documented or awkward third party APIs.\n\nDemonstrated experience building LLM and agent based systems that reached production and stayed there. Familiarity with Claude and the Anthropic API is highly regarded.\n\nPractical prompt engineering experience, including structured outputs, tool use and managing agent state across actions.\n\nProven ability to scope work independently with non technical stakeholders and turn a business requirement into a technical solution.\n\nNice To Have\n\nExperience with ecommerce platforms, particularly Magento 2 and Stripe.\n\nExperience integrating with an ERP such as NetSuite or Microsoft Dynamics Navision.\n\nExperience with data warehousing and reporting, including Google BigQuery and GA4.\n\nExposure to DevOps practices, CI/CD pipelines or container based deployment. \n\nFamiliarity with process mapping and opportunity discovery methods such as value stream mapping or SOP analysis. \n\nExperience working in a distributed team across multiple time zones.","description_format":"text","description_chars":6567,"description_truncated":false,"requirements":{"experience_years_min":7,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-09-26T20:11:05Z"}],"visa":[],"liveness":{"score":24,"band":"cold","label":"Long shot","p_open":0.6,"p_active":0.714,"p_room":0.55,"age_days":30,"expected_fill_days":27,"reasons":["seen:30","win:tail"],"computed_at":"2026-10-21T05:46:15Z"},"pay":null,"html_url":"https://alion.io/job/zeder-senior-automation-ai-system-engineer","json_url":"https://alion.io/job/zeder-senior-automation-ai-system-engineer.json","meta":{"generated_at":"2026-10-21T14:43:39Z","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":21005,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-22T00:00:00Z"}},"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":3827670},"rest":"https://alion.io/mcp/rest/get_company?id=3827670"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fzeder-senior-automation-ai-system-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%2Fzeder-senior-automation-ai-system-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%2Fzeder-senior-automation-ai-system-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/zeder-senior-automation-ai-system-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fzeder-senior-automation-ai-system-engineer"}]}