Our client is looking for Agentic AI Engineer to build and deploy AI agents that automate real business workflows — reducing operational cost, headcount dependency, and turnaround time. This is a hands-on implementation role, not R&D. If your experience lives in notebooks, courses, and demos, this role is not for you.What You'll OwnDesign and build multi-agent systems that replace or augment manual business processesIntegrate agents with internal tools (CRM, ERP, databases, APIs, communication platforms)Optimize agent performance for cost per task — token efficiency, latency, and accuracySet up observability and monitoring so agents don't fail silently in productionWork directly with business stakeholders to translate process pain points into agent workflowsMaintain and iterate on deployed agents — not a build-and-forget roleRequirementsMinimum 2 production-deployed agentic systems — not POCs, not demos, not coursework. Real systems, real users, real business impact. You must be able to speak to what broke, how you fixed it, and what it savedProficiency in Python, LangChain/LangGraph or equivalent orchestration frameworksExperience with tool-calling, RAG pipelines, memory management, and multi-agent coordinationFamiliarity with MCP servers and API integrationsCost-aware engineering mindset — can justify model choice (when to use GPT-4o vs Haiku vs Sonnet) based on task requirements, not preferenceUnderstanding of guardrails, human-in-the-loop design, and failure handlingHow We Evaluate You — Interview ProcessTheory will not get you through. Expect:Production walkthrough — show us a live or previously deployed agent. Walk us through the architecture, what failed, and how you resolved itCost breakdown — explain the token/compute cost of a system you built and how you optimized itLive build task — given a business process, design an agent workflow on the spotWhat Good Looks LikeAgents running in production, not in slidesClear ROI per agent — time saved, cost reduced, error rate droppedBuilds lean — chooses the cheapest model that does the job reliably, not the most impressive oneWhat Will Get You RejectedPortfolio of tutorials and Jupyter notebooks with no deployment historyCan explain LangChain architecture but never shipped one to productionOptimizes for technical elegance over business outcomeWhat You Won't Be DoingAcademic research or model trainingWaiting for perfect requirements — expected to drive clarity from ambiguous briefsBuilding without a business caseBenefitsRemote workingAt Substance, we’re all about action, not just talk. If your profile aligns with what we need, you’ll hear from us within 1-2 weeks. If not, no fluff—just know we value your interest and will keep you in mind for future roles where your skills can make an impact. We focus on real connections and meaningful matches, so when the right opportunity comes, we’ll be ready to make it happen.Getsubstance.co Pte. Ltd. | EA License No: 24C2398
Our client is looking for Agentic AI Engineer to build and deploy AI agents that automate real business workflows — reducing operational cost, headcount dependency, and turnaround time. This is a hands-on implementation role, not R&D. If your experience lives in notebooks, courses, and demos, this role is not for you.
What You'll Own
- Design and build multi-agent systems that replace or augment manual business processes
- Integrate agents with internal tools (CRM, ERP, databases, APIs, communication platforms)
- Optimize agent performance for cost per task — token efficiency, latency, and accuracy
- Set up observability and monitoring so agents don't fail silently in production
- Work directly with business stakeholders to translate process pain points into agent workflows
- Maintain and iterate on deployed agents — not a build-and-forget role
Requirements
- Minimum 2 production-deployed agentic systems — not POCs, not demos, not coursework. Real systems, real users, real business impact. You must be able to speak to what broke, how you fixed it, and what it saved
- Proficiency in Python, LangChain/LangGraph or equivalent orchestration frameworks
- Experience with tool-calling, RAG pipelines, memory management, and multi-agent coordination
- Familiarity with MCP servers and API integrations
- Cost-aware engineering mindset — can justify model choice (when to use GPT-4o vs Haiku vs Sonnet) based on task requirements, not preference
- Understanding of guardrails, human-in-the-loop design, and failure handling
How We Evaluate You — Interview Process
Theory will not get you through. Expect:
- Production walkthrough — show us a live or previously deployed agent. Walk us through the architecture, what failed, and how you resolved it
- Cost breakdown — explain the token/compute cost of a system you built and how you optimized it
- Live build task — given a business process, design an agent workflow on the spot
What Good Looks Like
- Agents running in production, not in slides
- Clear ROI per agent — time saved, cost reduced, error rate dropped
- Builds lean — chooses the cheapest model that does the job reliably, not the most impressive one
What Will Get You Rejected
- Portfolio of tutorials and Jupyter notebooks with no deployment history
- Can explain LangChain architecture but never shipped one to production
- Optimizes for technical elegance over business outcome
What You Won't Be Doing
- Academic research or model training
- Waiting for perfect requirements — expected to drive clarity from ambiguous briefs
- Building without a business case
Benefits
At Substance, we’re all about action, not just talk. If your profile aligns with what we need, you’ll hear from us within 1-2 weeks. If not, no fluff—just know we value your interest and will keep you in mind for future roles where your skills can make an impact. We focus on real connections and meaningful matches, so when the right opportunity comes, we’ll be ready to make it happen.
Getsubstance.co Pte. Ltd. | EA License No: 24C2398
At Substance, we go beyond the surface—delivering depth over style by connecting businesses with world-class talent at a fraction of the traditional cost. Whether you need permanent, remote or fractional hires, we’ve cracked the code on finding exceptional professionals from lower-cost regions, helping you save up to 70% on recruitment without compromising on quality.We’re not just matching candidates to jobs—we’re curating lasting partnerships built on culture fit, potential, and business growth. With our cutting-edge AI-powered tools and rigorous vetting process, you’ll get more than just a resume—you’ll find the right fit for your team.At Substance, we believe in smarter hiring that drives impact. Let’s reduce your hiring costs and build something great together.
At Substance, we go beyond the surface—delivering depth over style by connecting businesses with world-class talent at a fraction of the traditional cost. Whether you need permanent, remote or fractional hires, we’ve cracked the code on finding exceptional professionals from lower-cost regions, helping you save up to 70% on recruitment without compromising on quality.
We’re not just matching candidates to jobs—we’re curating lasting partnerships built on culture fit, potential, and business growth. With our cutting-edge AI-powered tools and rigorous vetting process, you’ll get more than just a resume—you’ll find the right fit for your team.
At Substance, we believe in smarter hiring that drives impact. Let’s reduce your hiring costs and build something great together.
