AI Engineer (FDE)
Techknowledgey · Singapore
About the CompanyOur client is a specialist systems integrator building agentic AI systems for major banks, telcos, insurers, and retailers across Asia Pacific. They work on high-impact problems for institutions running critical financial and digital infrastructure in the region.They operate exclusively on AWS and benefit from strategic partnership programmes that provide co-sell reach, funded innovation opportunities, and delivery credibility across multiple markets. They value engineers who are technically strong, delivery-focused, collaborative, and committed to solving complex problems.The RoleThis Forward Deployed Engineer designs, builds, and deploys production-grade multi-agent systems within regulated enterprise environments — working closely with Architects, Delivery teams, and enterprise client stakeholders on scalable AI applications, retrieval pipelines, orchestration frameworks, APIs, observability tooling, and production infrastructure.The role calls for strong hands-on engineering, production delivery experience, and solid enterprise AI engineering practices. All engineers are expected to use AI tools effectively to boost productivity across testing, debugging, documentation, and delivery.What You Will DoDesign and deliver production-grade multi-agent systems using LangGraph, LangChain, CrewAI, or equivalent orchestration frameworksBuild and maintain end-to-end RAG pipelines (chunking, embedding evaluation, retrieval optimization, reranking, hallucination evaluation)Develop prompt frameworks, role instructions, escalation flows, and guardrail mechanismsImplement production-grade AI guardrails: PII redaction, input sanitization, output validation, adversarial testing, security controlsDesign and deploy AI systems in-region/in-VPC using regulated AWS architecturesBuild and maintain FastAPI services, streaming APIs, auth layers, React interfaces, and enterprise integrationsDeploy/manage workloads on ECS, EKS, SageMaker, Bedrock, API GatewayImplement CI/CD, automated testing, infrastructure automation, observability, and monitoringDefine/execute testing strategies (unit, integration, retrieval, adversarial, evaluation)Contribute to architecture reviews, low-level designs, solution docs, and proposal responsesLead technical workstreams and mentor junior engineersBuild reusable engineering assets: runbooks, prompt libraries, evaluation frameworks, deployment templatesWhat They're Looking For4–6 years in software engineering, AI engineering, cloud engineering, or backend platform developmentStrong Python engineering for production-grade backend systemsHands-on experience with LLM APIs, RAG systems, orchestration frameworks, or multi-agent workflowsExperience with LangGraph, LangChain, CrewAI, or similarStrong grasp of retrieval systems, embeddings, vector databases, reranking, chunking, AI evaluationAWS deployment experience: Bedrock, SageMaker, ECS/EKS, API Gateway, Cognito, CloudWatch, IAM, Secrets ManagerStrong DevSecOps understanding: CI/CD, infrastructure automation, testing, observability, security hygieneFamiliarity with React, Node.js, streaming APIs, modern web integration patternsUnderstanding of enterprise AI risks: hallucinations, prompt injection, data leakage, guardrailsAbility to engage directly with client stakeholders and architecture teamsStrong debugging, problem-solving, ownership mentalityWhat Sets You ApartDelivered production AI systems used by real users/enterprisesActive, effective use of AI tools in your own workflowComfortable troubleshooting production issues, improving reliabilityTrack record of building reusable tooling/frameworks adopted by teamsStrong engineering execution paired with stakeholder communicationCertifications (valued, not required)AWS Certified Developer Associate, AWS Certified Solutions Architect Associate, or AWS Certified Machine Learning Engineer AssociateWhat's on OfferCompetitive, market-aligned compensation. Exposure to enterprise-scale AI transformation programmes across APAC, advanced AI tooling, AWS partnership ecosystems, and regulated-industry delivery experience. Equal opportunity employer.