{"id":1267507,"url":"https://alion.io/job/we-plus-ai-engineer","title":"AI Engineer","company":{"id":3802230,"name":"We-Plus","domain":"we-plus.com","url":"https://alion.io/company/we-plus-2","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Singapore"],"countries":["SG"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":6000,"max":8000,"currency":"SGD","period":"month","gross":true,"usd_annual":75168},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AI Agents","optional":false},{"name":"Azure","optional":false},{"name":"Function Calling","optional":false},{"name":"Google AI Studio","optional":false},{"name":"LangChain","optional":false},{"name":"LlamaIndex","optional":false},{"name":"LLM","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"n8n","optional":false},{"name":"OpenAI","optional":false},{"name":"Power Automate","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}],"status":"live","first_seen_at":"2026-09-04T00:00:00Z","employer_posted_date":null,"last_verified_at":"2026-09-04T00:00:00Z","board_verified":false,"closed_at":null,"days_open":26,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":26},"description":"⇒ Position Objective\nOur client, a leading FMCG enterprise operating across ASEAN, is seeking an Agentic AI & Automation Engineer to design, build, and deploy custom AI-powered solutions from scratch. The role sits within the Digital Commercial & AI team and spans two core areas: building autonomous agentic AI workflows, and developing intelligent automation pipelines that connect systems and eliminate manual processes across commercial and operational functions. \nInitial engagement is 3 months, with strong likelihood of extension to 6–12 months for the right person.\n⇒ Main Responsibilities\nDesign and build agentic AI workflows from scratch — including autonomous, multi-step agents capable of reasoning, decision-making, and acting across internal systems without human intervention.\nIntegrate LLMs with the client’s existing decision intelligence backend using retrieval-augmented generation (RAG), MCP, and structured knowledge base augmentation — not starting from zero, but building on a live data foundation.\nBuild and deliver specific AI agent use cases including a Pricing Agent, Route-to-Market Agent, Recruitment Agent, and Calling/Selling Agent that autonomously handles retailer outreach, cross-selling, and order completion.\nDesign and deploy end-to-end AI-powered automation workflows that eliminate manual, repetitive tasks across sales, HR, operations, and commercial functions — using tools such as n8n, Azure Logic Apps, or equivalent.\nConnect automation pipelines to enterprise systems via REST APIs and webhooks — including CRM, ERP, HR platforms, and BI tools — ensuring reliable, production-grade integrations.\nOwn the full delivery lifecycle: scoping, architecture, build, testing, and handover — with full documentation and clear token/cost governance across all AI components.\nWork in a fast-moving, agile environment across Malaysia and the broader ASEAN cluster, with the expectation of delivering a working solution within the first 3 months of engagement.\n⇒ Qualifications & Experience\nBachelor's Degree in Computer Science, Engineering, or a related field or equivalent practical experience.\nCredentials are secondary to a demonstrated ability to build and ship in production.\nMore than 3 years of hands-on experience building AI or automation solutions. Prior experience in FMCG, retail, B2B commerce, or a similarly fast-moving commercial environment is a strong advantage.\nProven ability to build agentic AI systems from scratch — not configuring off-the-shelf SaaS tools. Must be able to design agent logic, manage state, handle errors, and deploy independently.\nStrong proficiency in Python. Hands-on experience with LLM frameworks (LangChain, LlamaIndex, or equivalent), workflow tools (n8n, Power Automate, or equivalent), and prompt engineering in production contexts.\nSolid understanding of RAG architectures: retrieval design, embedding pipelines, knowledge base structuring, and augmentation strategies for enterprise data environments.\nExperience with Azure AI services (Azure OpenAI, Azure AI Studio) and a working knowledge of LLM concepts including MCP, function/tool calling, token management, and cost optimisation.\nComfortable integrating with enterprise systems via REST APIs and webhooks. Can read documentation independently and build reliable connectors when off-the-shelf solutions fall short.\nStrong delivery instinct: able to scope a use case, map the workflow, build a maintainable solution, and hand it over — without over-engineering or requiring extensive supervision.\nSelf-directed and output-focused. Comfortable operating in a lean team at pace, and capable of delivering a working solution within a 3–6 month engagement window.\nSkills\ncommercial environment, Architecture, Engineering Documentation, Direct experience, Logic Design, Cloud Automation, Support retailers, Ship Construction, Delivery Management, Engagement, Data Administration","description_format":"text","description_chars":3912,"description_truncated":false,"requirements":{"experience_years_min":3,"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":["IT Consulting & Digital Transformation"],"lifecycle":[{"event":"open","at":"2026-09-25T22:00:00Z"}],"liveness":{"score":29,"band":"fade","label":"Fading","p_open":0.85,"p_active":0.618,"p_room":0.55,"age_days":25,"expected_fill_days":17,"reasons":["seen:25","velocity","win:tail"],"computed_at":"2026-09-29T05:45:00Z"},"pay":{"stated_usd_annual":75168,"is_top_pay":false},"html_url":"https://alion.io/job/we-plus-ai-engineer","json_url":"https://alion.io/job/we-plus-ai-engineer.json","meta":{"generated_at":"2026-09-30T04:52:17Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":3440,"day_limit":5000,"remaining_today":1560,"minute_limit":60,"resets_at":"2026-10-01T00:00:00Z"}}}