AI Engineer

WE-PLUS PTE. LTD.; Singapore; On-site; SGD 89,000 - 123,000; Full time

Job summary

WE-PLUS PTE. LTD. seeks an Agentic AI & Automation Engineer to design, build, and deploy AI-powered solutions across commercial and operational functions in ASEAN.

You will create autonomous agentic workflows and intelligent automation pipelines that connect systems and reduce manual tasks. The role requires hands-on Python development, LLM framework experience, and ability to deliver production-ready integrations using tools like LangChain, n8n, and Azure AI services.

Qualifications

• Bachelor's Degree in CS/Engineering or equivalent experience.
• 3+ years building AI or automation solutions.
• FMCG/retail/B2B commerce experience is a plus.
• Ability to design agentic AI systems from scratch.
• Proficient in Python with production LangChain/LlamaIndex experience.
• Experience with Azure AI services and MCP, function/tool calling.

Responsibilities

• Design and build agentic AI workflows from scratch with autonomous agents.
• Integrate LLMs with decision intelligence backend using RAG and knowledge bases.
• Develop AI agent use cases including Pricing, Route-to-Market, Recruitment, and Calling/Selling Agents.
• Design and deploy end-to-end AI automation across sales, HR, operations, and commercial functions.
• Connect pipelines to CRM/ERP/HR/BI via REST APIs and webhooks.
• Own the full delivery lifecycle with documentation and governance.
• Deliver a working solution within a 3-6 month engagement.

Skills

Python

LLM frameworks

Prompt engineering

RAG architectures

Delivery mindset

Education

Bachelor's Degree in Computer Science or related field

Tools

LangChain

LlamaIndex

n8n

Power Automate

Azure OpenAI

Azure AI Studio

REST APIs

Job description

Position Objective

Our 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.

Initial engagement is 3 months, with strong likelihood of extension to 6-12 months for the right person.

Main Responsibilities

• Design 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.
• Integrate 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.
• Build 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.
• Design 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.
• Connect automation pipelines to enterprise systems via REST APIs and webhooks - including CRM, ERP, HR platforms, and BI tools - ensuring reliable, production-grade integrations.
• Own the full delivery lifecycle: scoping, architecture, build, testing, and handover - with full documentation and clear token/cost governance across all AI components.
• Work 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.

Qualifications & Experience

• Bachelor's Degree in Computer Science, Engineering, or a related field or equivalent practical experience.
• Credentials are secondary to a demonstrated ability to build and ship in production.
• More 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.
• Proven 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.
• Strong 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.
• Solid understanding of RAG architectures: retrieval design, embedding pipelines, knowledge base structuring, and augmentation strategies for enterprise data environments.
• Experience 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.
• Comfortable integrating with enterprise systems via REST APIs and webhooks. Can read documentation independently and build reliable connectors when off-the-shelf solutions fall short.
• Strong 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.
• Self-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.