Deloitte is hiring a Consultant-level Customer Intelligence Engineer in Bangkok to work within Deloitte Digital, focusing on customer experience. The role involves hands-on development of AI-powered customer intelligence systems such as personalization engines, advanced chatbots, sentiment analysis tools, and customer journey optimizers, contributing to technical architecture and implementing advanced AI patterns like RAG, Agentic Architectures, and Function/Tool Calling. The consultant will collaborate with client stakeholders, designers, and strategists, prototype solutions, evaluate AI models, and ensure quality through rigorous testing. Requirements include expert proficiency in Python or Node.js, experience with Docker, CI/CD, LLM provider APIs, and frameworks such as LangChain or LlamaIndex, plus strong communication and problem-solving skills.
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Agoda is hiring a Lead Application Security Engineer to join its Security Department in Bangkok, Thailand, supporting security, compliance, and security operations across the company. The role sits in a fast-paced DevSecOps environment and focuses on integrating security testing into continuous deployment and integration flows, while performing design reviews, code review, and remediation at scale. The position requires strong software engineering foundations with at least 7 years of technical experience across areas such as threat modeling, secure coding, authentication, and network security, plus hands-on cloud and SDLC experience. Candidates are expected to work with microservices, web, and mobile platforms across on-premise and public cloud data centers.
This role involves architecting and leading the deployment of AI-based applications and large language models (LLMs) across operational workflows. The specialist manages the full lifecycle of AI model integration, wrapping machine learning models into scalable APIs and integrating them into full-stack production systems. Responsibilities include designing automated CI/CD pipelines, managing infrastructure using Linux and containerization (Docker, Kubernetes), and implementing telemetry to monitor model performance and optimize systems to meet SLAs. The position requires collaborating with Data Scientists to transition models into production-ready code and with product teams to identify AI integration opportunities.
This role sits within Deloitte Digital Southeast Asia, based in Bangkok, and focuses on leading multidisciplinary delivery squads across customer experience, Martech, loyalty, and AI-enabled customer platforms. The position acts as a hands-on technical leader (Squad Lead / Technical Lead at Senior Consultant level) who shapes implementation approaches, translates business requirements into scalable technology solutions, and serves as the primary technical contact for client delivery teams. The role requires 6–9 years of software engineering or platform delivery experience, including 2+ years as a Technical Lead or Squad Lead, plus consulting or client-facing delivery background. Candidates must have deep expertise in at least one domain such as application development, mobile (Kotlin/Swift/Flutter), backend (Node.js/GoLang), API and microservices architecture, or DevOps & CI/CD, with strong stakeholder management and Agile delivery experience.
This role involves writing integration code with architects to meet various requirements and planning the refactoring of current integrations to align with Enterprise Integration Architecture. The position requires abstraction to allow for changing source or destination systems via connectors. The engineer will work within scrum teams.
At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world. Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide. No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us. **Our Opportunity** As our Staff Full Stack Engineer, you will design and build AI-driven chat experiences that power Agoda’s AI Assistant, trip planning and discovery, customer support flows, and proactive recommendations. You’ll work closely with engineers, data scientists, and product managers to define, build, and scale the next generation of AI solutions that make travel planning more intuitive, personalized, and effortless for millions of customers worldwide. We’re looking for a visionary Full Stack architect with a strong hands-on mentality — integrating innovative AI capabilities and rapidly validating ideas through experimentation. You will create measurable impact on traveler experience and business outcomes, while upholding Agoda’s standards for privacy, reliability, and the responsible use of AI. **Why Agoda & Why Bangkok?** * Global Engineering, Global Impact: Join a high-energy, multilingual and multicultural engineering team in Bangkok driving innovation across regions. * Vibrant Bangkok HQ: Work in a tech-centric city with a thriving expat community, beautiful culture, and world-famous cuisine. * English-First: Work and collaborate in English—no Thai required! * World-class relocation and family support are offered. **The Impact You’ll Make** * Lead full-stack architecture and system design for features used by millions of customers * Own complex end-to-end systems — from React-based frontend to backend microservices — and mentor high-performing teams * Design and evolve Backend-for-Frontend (BFF) layers that aggregate downstream services into optimized, UI-friendly contracts * Guide technical decisions across several squads, driving engineering excellence * Collaborate with Product and Design to deliver cohesive, user-centered solutions at scale **What We’re Looking For** * 8+ years of experience in software engineering (web, backend, or full stack) * **Frontend:** Hands-on proficiency with React and its ecosystem — Next.js (SSR/SSG), TypeScript, state management (Redux, Zustand, or similar), component libraries, and build tooling (Webpack/Vite) * **Backend:** Expertise in Java, Kotlin, or .NET; comfort designing microservices and REST/gRPC APIs * **BFF / middleware:** Experience building and owning Node.js/TypeScript BFF layers that sit between frontend and core services, including API aggregation, response shaping, and auth handling * Solid understanding of frontend performance fundamentals: Core Web Vitals, code splitting, lazy loading, and rendering strategies (CSR vs SSR vs ISR) * Familiarity with testing approaches across the stack — unit, integration, and E2E (Jest, Cypress, or Playwright) * Proven experience leading end-to-end architecture on high-traffic platforms * Track record of technical mentorship, cross-team collaboration, and solving ambiguous problems **What We Offer** **Full Relocation and Onboarding Support:** * Visa sponsorship for you and your family * Flights, settling-in allowance, and temporary housing * Dedicated relocation and settling-in advisors * Relocation buddy program and community events **Family & Expat Benefits:** * Partner & children support (school search, legal, etc.) * International health insurance * Flexible home visit support **Agoda Perks:** * Hybrid working (Bangkok HQ) * Professional growth and learning budget * Employee resource groups for every culture and background **Get to know first-hand testimonials of Agodans relocating from around the world to Bangkok:**[**https://careersatagoda.com/agodans-in-bangkok/**](https://careersatagoda.com/agodans-in-bangkok/) **Agoda’s Engineering Blog:**[**https://medium.com/agoda-engineering**](https://medium.com/agoda-engineering) ***** This position is based in Bangkok, Thailand (Relocation Provided) ***** **Equal Opportunity Employer** At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics. We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our [privacy policy](https://careersatagoda.com/privacy-statement). **Disclaimer** We do not accept any terms or conditions, nor do we recognize any agency’s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.
At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world. Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide. No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us. **Get To Know Our Team:** Join a small platform team building the next generation of natural-language analytics at Agoda. You will own the governed knowledge layer between our data warehouse and the applications, assistants, and analysts that consume it: metrics, domain context, quality signals, and the APIs that expose them. This is semantic modeling and knowledge engineering, not dashboard reporting or model training. **The Opportunity:** * You will design and operate the shared knowledge layer behind conversational analytics at Agoda: turning scattered business knowledge into versioned, reviewable assets that return consistent, current answers. * You pair with a senior tech lead on product architecture. Your scope is the layer itself (models, context, validation, governance workflows) and how it is exposed through service and agent interfaces. **What You’ll Do:** * Model governed metrics, dimensions, joins, and grain for business domains * Structure expert context, glossaries, and validated question patterns as Git-reviewed assets * Build freshness, drift, and validation signals; treat stale knowledge as a production issue * Expose the layer through APIs so applications and agents get deterministic answers * Enable domain owners to propose, review, and publish knowledge without engineering deploys * Partner across analytics, product, and platform teams on access control and quality standards **Required Qualifications:** * 4+ years in BI, analytics engineering, data platform, or software engineering with heavy data modeling * Semantic or metrics-layer experience (LookML, dbt metrics, or equivalent) * Strong SQL and analytical modeling on OLAP / warehouse systems * Knowledge engineering: versioned definitions, peer review, contributor workflows * API / service mindset: you design for multiple consumers, not a single dashboard * Clear communication across engineering, analytics, and product partners **Preferred Qualifications:** * Open-source semantic layer engines (Cube, MetricFlow patterns) * Agent or tool-interface experience for LLM-powered applications * NL-to-data products, retrieval, or evaluation harnesses * Python or Node.js service development * Large-scale e-commerce or travel analytics environments