AI Engineer (Fde)

About the Company Our 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 Role This 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 Do Design and deliver production-grade multi-agent systems using LangGraph, LangChain, CrewAI, or equivalent orchestration frameworks Build and maintain end-to-end RAG pipelines (chunking, embedding evaluation, retrieval optimization, reranking, hallucination evaluation) Develop prompt frameworks, role instructions, escalation flows, and guardrail mechanisms Implement production-grade AI guardrails: PII redaction, input sanitization, output validation, adversarial testing, security controls Design and deploy AI systems in-region/in-VPC using regulated AWS architectures Build and maintain FastAPI services, streaming APIs, auth layers, React interfaces, and enterprise integrations Deploy/manage workloads on ECS, EKS, SageMaker, Bedrock, API Gateway Implement CI/CD, automated testing, infrastructure automation, observability, and monitoring Define/execute testing strategies (unit, integration, retrieval, adversarial, evaluation) Contribute to architecture reviews, low-level designs, solution docs, and proposal responses Lead technical workstreams and mentor junior engineers Build reusable engineering assets: runbooks, prompt libraries, evaluation frameworks, deployment templates What They're Looking For 4–6 years in software engineering, AI engineering, cloud engineering, or backend platform development Strong Python engineering for production-grade backend systems Hands-on experience with LLM APIs, RAG systems, orchestration frameworks, or multi-agent workflows Experience with LangGraph, LangChain, CrewAI, or similar Strong grasp of retrieval systems, embeddings, vector databases, reranking, chunking, AI evaluation AWS deployment experience: Bedrock, SageMaker, ECS/EKS, API Gateway, Cognito, CloudWatch, IAM, Secrets Manager Strong DevSecOps understanding: CI/CD, infrastructure automation, testing, observability, security hygiene Familiarity with React, Node.js, streaming APIs, modern web integration patterns Understanding of enterprise AI risks: hallucinations, prompt injection, data leakage, guardrails Ability to engage directly with client stakeholders and architecture teams Strong debugging, problem-solving, ownership mentality What Sets You Apart Delivered production AI systems used by real users/enterprises Active, effective use of AI tools in your own workflow Comfortable troubleshooting production issues, improving reliability Track record of building reusable tooling/frameworks adopted by teams Strong engineering execution paired with stakeholder communication Certifications (valued, not required) AWS Certified Developer Associate, AWS Certified Solutions Architect Associate, or AWS Certified Machine Learning Engineer Associate What's on Offer Competitive, 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.