Get to Know our Team

In Agoda’s Back End Engineering department, we build the scalable, fault-tolerant systems and APIs that host our core business logic. Our systems cover all major areas of our business: inventory and pricing, product information, customer data, communications, partner data, booking systems, payments, and more. These mission-critical systems change frequently with dozens of releases per day, so we must employ state-of-the-art CI/CD and testing techniques in order to make sure everything works without any downtime. We also ensure that our systems are self-healing, responding gracefully to extreme loads or unexpected input. In order to accomplish this, we use state-of-the-art languages like Scala and Go, data technologies like Kafka and Aerospike, and agile development practices. Most importantly though, we hire great people from all around the world and empower them to be successful. Whether it’s building new projects like Flights and Packages or reimagining our existing business, you’ll make a big impact as part of the Back End Engineering team. 

The Opportunity

We are seeking a Principal Engineer to drive innovation across our AI-powered data experience and platform infrastructure.

This role combines leading the development of AI-powered data querying — enabling users to ask business questions in natural language and receive actionable insights — while shaping the evolution of our data quality tools, and analytical engines such as StarRocks.

As a senior technical leader, you will operate across AI, data infrastructure, and reliability domains, driving high-impact initiatives and serving as a key technical authority across the organization.

This position is based in Bangkok, Thailand. (Relocation support is provided)

In this Role, you'll get to:

• Lead the development of AI-powered data querying solutions, enabling users to ask business questions in natural language and receive actionable insights.
• Architect and develop scalable data quality tools and frameworks to ensure reliable and trustworthy data.
• Act as a hands-on technical leader, tackling complex challenges across AI query engines, data quality systems, and analytical engines.
• Collaborate with TPMs and stakeholders to define and drive the technical vision and roadmap for AI-driven querying, query engines, and data quality tools.
• Mentor engineers and raise standards across data quality & governance tools, query engines, and the broader data platform.

What you'll Need to Succeed:

• 10+ years of experience in software engineering, data engineering, or related fields
• Strong hands-on experience with:
• SQL and large-scale data systems
• Modern analytical databases / data warehouses (e.g., StarRocks, Snowflake, BigQuery, ClickHouse)
• Backend development (e.g., Python, Java, Scala or similar)
• Experience building or working with:
• AI/LLM-based applications (e.g., text-to-SQL, conversational interfaces, cursor, copilots)
• Data platforms or analytical infrastructure at scale
• Strong understanding of data modeling, query execution, and performance optimization
• Proven ability to lead cross-team, high-impact technical initiatives
• Ability to navigate between deep hands-on work and strategic technical leadership
• Excellent communication skills with both technical and non-technical stakeholders

It's Great if you have:

• Experience with text-to-SQL systems or AI-driven data interfaces
• Experience implementing or scaling analytical engines such as StarRocks
• Background in data observability, quality, or governance frameworks
• Experience with tools like dbt, Airflow, Spark, or similar

#Bengaluru #SãoPaulo #Delhi #NewYorkCity #Nigeria #London #Hyderabad #Pune #Mumbai #Colombia #Paris #Jakarta #Chennai #SanFrancisco #WashingtonDC #Toronto #Pakistan #LosAngeles #Dallas #Chicago #Kenya #Boston #Shanghai #Egypt #BuenosAires #Manila #Netherlands #Singapore #RiodeJaneiro #Beijing #Atlanta #Sydney #Madrid #Vietnam #SaudiArabia #Peru #Melbourne #Ireland #Russia #Bangladesh #MexicoCity #Philadelphia #Chile #SeattleArea #Noida #Kolkata #Guangdong #UnitedArabEmirates #TelAvivDistrict #Houston #KualaLumpur #BeloHorizonte #SouthKorea #Bangkok #Istanbul #Austin #Curitiba #Warsaw #Campinas #Barcelona #Ukraine #CostaRica #Berlin #Romania #Denver #Johannesburg #Minneapolis #Manchester #Miami #Phoenix #Detroit #Coimbatore #Milan #PortoAlegre #Vancouver #Montreal #Charlotte #SanDiego #Ghana #SaltLakeCity #Raleigh #HongKong #Munich #Prague #Ecuador #TampaBay #Tokyo #Serbia #Lithuania #Taipei #Cracow #Zhejiang #CapeTown #Brasilia #Columbus #Ahmedabad #Indore #Kochi #Gurgaon #Chandigarh #Lucknow #Bhubaneswar #Thiruvananthapuram #Visakhapatnam #Bhopal #JerseyCity #Irving #Denton #Worcester #Arlington #OverlandPark #AuroraDistrict #Baltimore #Tampa #Halethorpe #Dayton #Syracuse #Chonburi #ChiangMai #NakhonRatchasima #KhonKaen #HatYai #Phuket #Surabaya #Tangerang #Birmingham #Casablanca #Rabat #Camp #PetalingJaya #GeorgeTown

Technical Product Manager – ML & LLM Platforms

The Opportunity
Agoda is rapidly accelerating its AI transformation. Our ambition is to make ML and LLM application development fast, scalable, reliable, and increasingly autonomous.
We are looking for a Technical Product Manager to own and evolve Agoda’s ML & LLM Ops platforms. This role will shape how teams across Agoda build, iterate, deploy, monitor, and scale machine learning and large language model applications.

You will operate at the intersection of platform engineering, applied AI teams, and emerging AI coding agents — ensuring our internal platforms are production-grade, optimized for experimentation, and increasingly native to AI-assisted development.

This is a high-impact role in a fast-moving space, where the goal is not just to support ML/LLM applications — but to enable them to be created and iterated on with increasing automation and minimal human friction.

In This Role, You’ll Get to 

• Define and evolve the product vision and roadmap for Agoda’s ML & LLM Ops platforms
• Shape how teams productionize ML models and LLM-powered applications
• Identify platform gaps, scalability constraints, and optimization opportunities
• Drive the evolution of our platform to support AI-native development workflows and coding agents

Requirements & Opportunity Discovery

• Gather requirements from ML engineers, data scientists, backend engineers, and AI application teams
• Translate complex technical needs into clear product requirements and prioritization frameworks
• Proactively identify opportunities to reduce friction, improve reliability, and increase deployment velocity
• Balance experimentation flexibility with governance, safety, and cost efficiency

Execution & Delivery

• Own features end-to-end: concept, specification, prioritization, implementation, and post-launch analysis
• Partner closely with engineering to balance platform scalability, performance, and technical debt
• Ensure platform capabilities support monitoring, evaluation, retraining, versioning, and observability of ML/LLM systems
• Drive adoption through documentation, training, and internal evangelism

AI-Native Platform Evolution

• Collaborate with engineering to level up Agoda’s platforms to be more compatible with AI coding assistants and autonomous agents
• Ensure platform APIs, tooling, and abstractions enable meaningful AI-generated code contributions
• Help define guardrails and workflows that allow safe, reliable AI-assisted development

What You’ll Need to Succeed

• 5+ years of experience in ML engineering, data science, platform engineering, or a related technical domain
• 2+ years of technical product or program management experience in fast-paced, high-scale environments
• Experience working with ML Ops and/or LLM Ops concepts (model lifecycle, evaluation, monitoring, versioning, deployment pipelines)

Technical Depth

• Strong understanding of ML systems and model lifecycle management
• Familiarity with LLM application patterns (RAG, fine-tuning, prompt management, evaluation frameworks, etc.)
• Comfortable discussing architecture, APIs, infrastructure trade-offs, and scalability concerns with senior engineers
• Strong analytical mindset with the ability to reason about system design, performance, and cost trade-offs

Leadership & Mindset

• Strong cross-functional leadership skills and ability to influence without authority
• Comfortable operating in ambiguity and rapidly evolving technological landscapes
• Excellent communication skills — able to translate between business, platform engineering, and AI application teams
• Proactive, structured thinker with a strong problem-solving mindset
• High ownership and bias for impact

Why This Role Is Unique

• You will shape how AI is built at scale inside Agoda.
• You will influence the evolution of our internal platforms toward AI-native and agent-compatible development.
• You will work at the forefront of ML and LLM production systems in a rapidly changing ecosystem.
• Your work will directly accelerate Agoda’s ability to deliver AI-powered experiences to millions of customers worldwide.

***This position requires a successful candidate to relocate fully to Bangkok, Thailand, where relocation support is provided.***

#bangkok #sanjose #losangeles #sydney #melbourne #perth  #vancouver #shanghai #beijing #shenzhen #copenhagen #paris #hongkong #budapest #jakarta #dublin #telaviv #milan #rome #tokyo #kualalumpur #amsterdam #oslo #jerusalem #moscow #barcelona #madrid #stockholm #zurich #taipei #london #wroclaw #warsaw #chennai #pune #toronto #austin #sydney #chichago #noida #delhi #seattle #hyderabad #gurgaon #newyork #bangalore #boston #bengaluru #berlin #mumbai #IT #4 #5 #LI-ST2 #LI-Hybrid

Get to Know our Team

In Agoda’s Back End Engineering department, we build the scalable, fault-tolerant systems and APIs that host our core business logic. Our systems cover all major areas of our business: inventory and pricing, product information, customer data, communications, partner data, booking systems, payments, and more. These mission-critical systems change frequently with dozens of releases per day, so we must employ state-of-the-art CI/CD and testing techniques in order to make sure everything works without any downtime. We also ensure that our systems are self-healing, responding gracefully to extreme loads or unexpected input. In order to accomplish this, we use state-of-the-art languages like Scala and Go, data technologies like Kafka and Aerospike, and agile development practices. Most importantly though, we hire great people from all around the world and empower them to be successful. Whether it’s building new projects like Flights and Packages or reimagining our existing business, you’ll make a big impact as part of the Back End Engineering team. 

The Opportunity

We are seeking a Principal Engineer to drive innovation across our AI-powered data experience and platform infrastructure.

This role combines leading the development of AI-powered data querying — enabling users to ask business questions in natural language and receive actionable insights — while shaping the evolution of our data quality tools, and analytical engines such as StarRocks.

As a senior technical leader, you will operate across AI, data infrastructure, and reliability domains, driving high-impact initiatives and serving as a key technical authority across the organization.

This position is based in Bangkok, Thailand. (Relocation support is provided)

In this Role, you'll get to:

• Lead the development of AI-powered data querying solutions, enabling users to ask business questions in natural language and receive actionable insights.
• Architect and develop scalable data quality tools and frameworks to ensure reliable and trustworthy data.
• Act as a hands-on technical leader, tackling complex challenges across AI query engines, data quality systems, and analytical engines.
• Collaborate with TPMs and stakeholders to define and drive the technical vision and roadmap for AI-driven querying, query engines, and data quality tools.
• Mentor engineers and raise standards across data quality & governance tools, query engines, and the broader data platform.

What you'll Need to Succeed:

• 10+ years of experience in software engineering, data engineering, or related fields
• Strong hands-on experience with:
• SQL and large-scale data systems
• Modern analytical databases / data warehouses (e.g., StarRocks, Snowflake, BigQuery, ClickHouse)
• Backend development (e.g., Python, Java, Scala or similar)
• Experience building or working with:
• AI/LLM-based applications (e.g., text-to-SQL, conversational interfaces, cursor, copilots)
• Data platforms or analytical infrastructure at scale
• Strong understanding of data modeling, query execution, and performance optimization
• Proven ability to lead cross-team, high-impact technical initiatives
• Ability to navigate between deep hands-on work and strategic technical leadership
• Excellent communication skills with both technical and non-technical stakeholders

It's Great if you have:

• Experience with text-to-SQL systems or AI-driven data interfaces
• Experience implementing or scaling analytical engines such as StarRocks
• Background in data observability, quality, or governance frameworks
• Experience with tools like dbt, Airflow, Spark, or similar

#Bengaluru #SãoPaulo #Delhi #NewYorkCity #Nigeria #London #Hyderabad #Pune #Mumbai #Colombia #Paris #Jakarta #Chennai #SanFrancisco #WashingtonDC #Toronto #Pakistan #LosAngeles #Dallas #Chicago #Kenya #Boston #Shanghai #Egypt #BuenosAires #Manila #Netherlands #Singapore #RiodeJaneiro #Beijing #Atlanta #Sydney #Madrid #Vietnam #SaudiArabia #Peru #Melbourne #Ireland #Russia #Bangladesh #MexicoCity #Philadelphia #Chile #SeattleArea #Noida #Kolkata #Guangdong #UnitedArabEmirates #TelAvivDistrict #Houston #KualaLumpur #BeloHorizonte #SouthKorea #Bangkok #Istanbul #Austin #Curitiba #Warsaw #Campinas #Barcelona #Ukraine #CostaRica #Berlin #Romania #Denver #Johannesburg #Minneapolis #Manchester #Miami #Phoenix #Detroit #Coimbatore #Milan #PortoAlegre #Vancouver #Montreal #Charlotte #SanDiego #Ghana #SaltLakeCity #Raleigh #HongKong #Munich #Prague #Ecuador #TampaBay #Tokyo #Serbia #Lithuania #Taipei #Cracow #Zhejiang #CapeTown #Brasilia #Columbus #Ahmedabad #Indore #Kochi #Gurgaon #Chandigarh #Lucknow #Bhubaneswar #Thiruvananthapuram #Visakhapatnam #Bhopal #JerseyCity #Irving #Denton #Worcester #Arlington #OverlandPark #AuroraDistrict #Baltimore #Tampa #Halethorpe #Dayton #Syracuse #Chonburi #ChiangMai #NakhonRatchasima #KhonKaen #HatYai #Phuket #Surabaya #Tangerang #Birmingham #Casablanca #Rabat #Camp #PetalingJaya #GeorgeTown

Get To Know Our Team:

• The BI‑Infra organization owns Agoda’s core data warehouse architecture and operates the platforms that power analytics and BI across the company (e.g., SQL Server DW, SSAS, Vertica, StarRocks, Hadoop, Superset, Metabase, Tableau, Power BI Report Server). Our mission is to maximize system uptime and provide the best possible data and visualization experience to Agoda users. 

• The BI‑Infra DBA sub‑team focuses on database and BI platform reliability, performance, and cost efficiency — designing and operating scalable OLAP engines, tuning workloads, defining SLIs/SLOs, and partnering with BI and product teams to keep critical analytics systems healthy at scale. 

The Opportunity:

We are looking for a Senior/Staff Data Platform Engineer (BI Infra DBA) to lead the technical direction and operations of our analytics database and BI platforms (StarRocks as the primary analytics engine, Vertica, SQL Server DW, visualization backends, and related services). You will: 

• Own critical database and BI infrastructure end‑to‑end — architecture, performance, reliability, and security. 

• Lead multi‑team initiatives such as expanding StarRocks adoption and leading sql server datawarehouse migration, and major upgrades of visualization/BI tools. 

• Set engineering and operational standards for how we design, deploy, and monitor our BI data platforms, acting as the technical point of contact for BI‑Infra DBA 

What You’ll Do:

• Design and evolve Agoda’s BI data warehouse architecture across SQL Server DW, Vertica, StarRocks, and related services, focusing on availability, scalability, and cost efficiency. 

• Lead migration and modernization projects such as: 

  • Migrating workloads off MSSQL DW to more sustainable platforms (Production standby, data lake, StarRocks, etc.). 

  • Decommissioning legacy components as part of the long‑term DW strategy. 

• Define and implement data and query engine standards (indexing/partitioning patterns, materialized views, retention strategies, governance and access patterns) for BI platforms. 

• Define SLIs/SLOs for key services (StarRocks, Vertica, Tableau, Superset/Metabase, MSSQL DW) and ensure they are instrumented, monitored, and reviewed regularly. 

• Lead incident response for BI‑Infra DBA‑owned platforms: diagnose cross‑system issues (Query Engine - Database, VIz tools, Compute, Storage, Network), post‑mortem/root‑cause analysis, and follow‑up improvements. 

• Partner with BI‑Infra Ops/Dev/Viz and DBDev/DBOps on end‑to‑end reliability — from ingestion pipelines to visualization queries and user traffic patterns. 

• Perform deep query and workload tuning for high‑impact systems (e.g., finance, supply, whitelabel analytics, experimentation, DQ), reducing CPU/memory/IO and improving latency at scale. 

• Optimize resource consumption and license/capacity planning for Query Engine – Database and BI tools. 

• Collaborate with infra and product teams to evaluate and adopt new query engines / database technologies where they materially improve reliability, performance, or cost. 

• Own upgrade and patching strategies for database and BI stacks (OS, engine, drivers), using canary/blue‑green and rollback plans to minimize downtime. 

• Improve and extend CI/CD and deployment automation for database objects, jobs, and configuration (GitLab, AWX/Ansible, ArgoCD, etc.). 

• Build and maintain observability for BI-Infra DBA services (Grafana, Prometheus/SLO dashboards, alerting, Hedwig/NOC integrations) to detect and act on issues proactively. 

• Implement and maintain secure access patterns for DW and BI platforms (service accounts, RBAC, gMSA, password rotation, SSO/OKTA integration, DR strategy). 

• Partner with security and data governance teams to remediate vulnerabilities within SLAs, enforce data residency constraints, and ensure that upcoming workloads (e.g., whitelabels) are compliant by design. 

• Act as technical lead for BI‑Infra DBA initiatives, collaborating closely with BI‑Infra Ops/Dev/Viz, Database Operation/Development, Infra, and BI product teams. 

• Mentor and coach junior engineers on database performance, reliability, and platform engineering best practices; help raise the bar for design reviews, runbooks, and incident hygiene. 

• Contribute to knowledge sharing - Documents [Confluence, Agoda Internal Document Framework], internal talks, runbooks and help shape the technical roadmap for BI‑Infra DBA. 

Required Qualifications:

• 5+ years of experience in data engineering / database engineering / DBA / platform engineering, with at least several years owning production OLAP/BI databases at scale. 

• Strong expertise with StarRocks (or similar modern MPP / columnar systems such as Vertica, ClickHouse, Presto/Trino, Druid, Doris, Impala) and solid SQL Server experience, including: 

  • Query execution internals and tuning (plans, statistics, partitioning, indexing, materialized views). 

  • Capacity planning, storage layout, and backup/restore. 

• Proven experience operating mission‑critical database or BI services in production: 

  • On‑call incident response, debugging across layers, and post‑mortem/root‑cause analysis. 

  • Designing and maintaining SLIs/SLOs, dashboards, and alerting for latency/availability/error budgets. 

• Solid understanding of data warehouse and ETL concepts (core DW tables like Fact-Dimension, MSSQL Replication/CDC, Staging patterns, data freshness & consistency, DQ processes). 

• Hands‑on experience with Linux and Windows in production environments (patching, hardening, troubleshooting resource issues). 

• Experience with infrastructure automation and CI/CD: 

  • Pipelines and deployment automation (GitLab CI, Ansible/AWX, ArgoCD, or similar). 

  • Git‑based workflows for database objects. 

• Strong communication and collaboration skills: 

  • Able to represent BI‑Infra DBA as the technical point of contact in cross‑team design and incident discussions at IC4 level. 

  • Comfortable explaining complex trade‑offs to both technical and non‑technical stakeholders. 

Preferred Qualifications:

• Experience with StarRocks or similar modern OLAP engines, including: 

  • Designing schemas and materialized views for BI workloads. 

  • Operating clusters across multiple environments (DR, performance/capacity testing, cost tuning). 

• Hands‑on work with Superset, Metabase, Tableau, Power BI Report Server as data consumers — understanding how visualization patterns translate into backend workload and SLOs. 

• Exposure to Hadoop / Data Lakehouse ecosystems (e.g., Impala, Spark, Hive) and strategies for moving workloads from DW to lake/next‑gen engines. 

• Experience with observability stacks (Prometheus, Grafana, Hedwig/NOC dashboards and alerting), SRE practices, and especially using AI/LLM-based tools to help with log analysis, anomaly detection, or auto-remediation for database/BI engines — this will be a strong plus. 

• Prior technical leadership at IC4 level or equivalent, driving multi‑quarter cross‑team projects and raising engineering standards for reliability, performance, and maintainability. 

This role is for candidates who are available to work as interns during Winter Internship 2026

Who is Sertis?

Sertis is a leading Data and AI company based in the heart of Bangkok. We provide both off-the-shelf and customized solutions for our clients ranging from data infrastructure, BI development, and data-driven business insights to forecasting, optimization, and computer vision. Our expert team of data and AI consultants work closely with clients, across different industries such as retail, manufacturing, banking, energy, airlines, agriculture, and healthcare, to understand their business needs and deliver bespoke solutions using cutting-edge technologies that are just right for them.

Our aim is to be one of the leading Data and AI companies globally, where a diverse mix of talent want to come, stay, and do their best work. We pride ourselves on bringing not only the best, but also nice, talent from around the World. We recognise that our company runs on our people's hard work and dedication while maintaining a culture that encourages learning, growth opportunity, innovative contribution, and a sense of ownership.

For more information, please visit: https://www.sertiscorp.com/ 

As a Machine Learning Engineer Intern at Sertis, you will gain hands-on experience supporting the productionization of data science research and AI-driven solutions. You will work alongside experienced ML engineers to understand how AI models are deployed on diverse hardware platforms, assist in building MLOps infrastructure, and contribute to writing production-grade software for model inference. This internship is an excellent opportunity to apply your academic knowledge to real-world generative AI projects and agentic systems within a fast-paced, collaborative environment.

In this role, you will get to:

• Support cross-functional teams in understanding business requirements and contribute to designing ML solutions to address those needs.
• Assist in developing and maintaining scalable infrastructure for model training and deployment under the guidance of senior engineers.
• Help develop cloud-native APIs, pipelines, and general software components for model inference.
• Gain exposure to cutting-edge foundation models and assist in building agentic systems from scratch.
• Assist in troubleshooting and resolving issues related to generative AI models and their implementations.
• Contribute to writing and maintaining clear technical documentation.

You'll be successful if you have:

• Currently studying a Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
• A foundational understanding of machine learning concepts and the Software Development Life Cycle (SDLC).
• Good programming skills in Python, and ideally some familiarity with C++ or other languages used in ML applications.
• An awareness of Generative AI concepts and curiosity about real-world AI applications.
• Some exposure to LLM APIs such as OpenAI or Hugging Face through coursework, projects, or self-study.
• Good communication and interpersonal skills to effectively work with team members

Nice to have:

• A basic understanding of REST APIs and git version control; familiarity with CI/CD and MLOps principles is a plus.
• Any exposure to cloud platforms (AWS, GCP, or Azure) is a plus.
• Some familiarity with Docker and containerization concepts is a plus.

​This is your chance to build your career in a growing data-driven and AI industry.

APPLY NOW!

Sertis may collect, use, or disclose your personal data or personal data of other persons provided by you in order to carry out your recruitment process. For more information, please refer to our Recruitment Privacy Notice

Who is Sertis?

Sertis is a leading Data and AI company based in the heart of Bangkok. We provide both off-the-shelf and customized solutions for our clients. Our expert team of data and AI consultants work closely with clients, across different industries such as retail, manufacturing, banking, energy, airlines, agriculture, and healthcare, to understand their business needs and deliver bespoke solutions using cutting-edge technologies that are just right for them.

Overview of the job

As an Machine Learning / AI Engineer at Sertis, you will play a pivotal role in productionizing advanced data science research. You will be responsible for efficiently running AI models on diverse hardware platforms and architectures, designing and building robust MLOps infrastructure, optimizing models for deployment, and writing production-ready software for model inference. You will work on real-world generative AI use-cases and agentic systems, and collaborate on the development of cutting-edge autonomous, intelligent applications at scale.

In this role, you will get to:

• Collaborate with cross-functional teams to understand business requirements and design ML solutions to meet those needs.
• Develop and maintain scalable infrastructure for model training and deployment.
• Develop cloud-native APIs, pipelines, and general software for model inference.
• Work with cutting-edge foundation models and build agentic systems from scratch
• Troubleshoot and resolve issues related to generative AI models and implementations.
• Engage with clients to gather requirements and ensure smooth collaboration throughout project lifecycles.
• Develop and maintain technical documentation.

You'll be successful if you have:

• At least 2 years of experience as an AI/ML Engineer, past experience in Data science, Software development and/or Machine learning for cloud-based solutions.
• A strong understanding of machine learning processes and standards, as well as the Software Development Life Cycle (SDLC).
• Strong programming skills in Python, C++, or other languages commonly used in machine learning applications.
• Good understanding of Generative AI concepts and real-world experience developing Generative AI applications
• Hands-on experience with LLM APIs such as OpenAI or Hugging Face
• An understanding of REST APIs, git version control, CI/CD, and MLOps principles.
• Experience with cloud platforms such as AWS, GCP, or Azure
• Experience with Docker and containerization.
• Excellent problem-solving skills and the ability to work well in a fast-paced, collaborative environment.
• The ability to scope projects, define architectures, and choose technologies based on project requirements.
• Strong communication and interpersonal skills to effectively collaborate with clients and team members.
• Proven experience in providing technical mentorship and guidance to junior engineers.
• Strong communication skills in English 

APPLY NOW!

Sertis may collect, use, or disclose your personal data or personal data of other persons provided by you in order to carry out your recruitment process. For more information, please refer to our Recruitment Privacy Notice

Capco, a Wipro company, is a global technology and management consultancy specialising in driving digital transformation in the financial services industry. With a growing client portfolio comprising of over 100 global organisations, Capco operates at the intersection of business and technology by combining innovative thinking with unrivalled industry knowledge to deliver end-to-end data-driven solutions and fast-track digital initiatives for banking and payments, capital markets, wealth and asset management, insurance, and the energy sector. Capco’s cutting-edge ingenuity is brought to life through its Innovation Labs and award-winning Be Yourself At Work culture and diverse talent.

Role Summary

A Senior Backend Engineer is responsible for designing and developing scalable backend systems in alignment with enterprise architecture and IT standards. The role focuses on delivering high-quality Java-based applications, following SDLC and banking compliance requirements, while continuously adopting modern technologies, including AI/ML frameworks.

The engineer will enhance and maintain existing systems, troubleshoot production issues as 3rd tier support, and collaborate closely with cross-functional teams—particularly AI/ML teams—to integrate advanced capabilities such as conversational AI into backend services. Strong emphasis is placed on code quality, system reliability, and continuous technology improvement.

What You’ll Do

• Technical analysis and application design aligned with standards in IT Blueprint.
• Adopt and apply proper technology in development, including emerging AI frameworks. 
• Develop with proper programming language (Java, etc.) and ensure high-quality code.
• Support technology-related information required for development.
• Keep updated on IT application technology to be able to adopt properly, especially in AI/ML domains.
• Apply application development with SDLC methodology and comply with banking regulations.
• Identify areas for modification in existing programs and subsequently develop these modifications.
• Write and implement efficient code with quality embedded.
• Troubleshoot and fix related problems to ensure smooth and efficient banking service/operation as 3rd tier support. 
• Collaborate with AI/ML teams to integrate conversational AI capabilities into backend banking services.

What We’re Looking For

• 8+ years experience in software development, with a focus on backend systems.
• 3+ years strong experience in Java, Spring Boot, PostgreSQL, and RESTful APIs.
• 3+ years experienced in Scrum/Agile methodologies. 
• Understand related software design diagrams such as UML, ER, etc.
• Experienced in Microservices architecture.
• Experienced in extreme programming, TDD, pair programming.
• Experienced in any public cloud such as Azure, AWS, or GCP.
• Experienced in Container and Docker Compose is a plus.
• Experienced in Deployment and DevOps is a plus.
• Proficient in Thai and English at intermediate level or above, sufficient for technical discussions, meetings, and written documentation
• Can work at the office at least 4 days a week (Mon-Thu)

Preferred Qualifications

• Experience with Java-based AI frameworks such as Spring AI, LangChain4j, or Semantic Kernel.
• Knowledge of prompt engineering and designing prompts for financial/banking contexts.
• Proven interest in AI technologies and their application in financial services (e.g. conversational banking, intelligent assistants).
• Experience integrating LLM APIs (OpenAI, etc.) with secure and compliant backend systems. 

Why Join CAPCO

• Work on engaging projects with some of the largest banks/insurance in the world, on projects that will transform the financial services industry
• Work in a collaborative, flat, and entrepreneurial consulting culture
• Access continuous learning, training, and industry certifications
• Be part of a team shaping the future of digital financial services
• Help shape the future of digital transformation across FS & Energy

We offer

• A work culture focused on innovation and creating lasting value for our clients and employees
• Ongoing learning opportunities to help you acquire new skills or deepen existing expertise in our financial services offerings
• A flat, non-hierarchical structure that will enable you to work with senior partners and directly with clients
• An agile, diverse, entrepreneurial, inclusive, meritocratic culture

Joining Capco means joining an organisation that is committed to an inclusive working environment where you’re encouraged to #BeYourselfAtWork. We celebrate individuality and recognize that diversity and inclusion, in all forms, is critical to success. It’s important to us that we recruit and develop as diverse a range of talent as we can and we believe that everyone brings something different to the table – so we’d love to know what makes you different. Such differences may mean we need to make changes to our process to allow you the best possible platform to succeed, and we are happy to cater to any reasonable adjustments you may require. You will find the section to let us know of these at the bottom of your application form or you can mention it directly to your recruiter at any stage and they will be happy to help.

We have been informed of several recruitment scams targeting the public. We strongly advise you to verify identities before engaging in recruitment related communication. All official Capco communication will be conducted via a Capco recruiter.

#LI-PW1 #LI-Hybrid

Employment Type: Full-time & Permanent 

Location: Dubai, UAE (Initial), Phuket, Thailand (From November 2026) Visa sponsorship and relocation assistance provided for both locations if needed. 

Monthly Base Salary range of THB 158,000 to THB 265,000 per month + performance-based bonus + opportunity to join our employee share scheme 

About Cobblestone Energy 

Cobblestone Energy is an energy trading company specialising in the European Gas, Power and Emissions markets. Established in 2018, we combine deep analytics, advanced data science and agile technology to drive profitable trading decisions. Our flat organisational structure empowers every team member with autonomy and ownership. Our diverse global team of extraordinary talent is united by a relentless pursuit of excellence. 

The Phuket Roadmap 

This role offers a unique global career path. To ensure seamless integration into our culture and trading strategies, the successful candidate will begin their journey at our Dubai headquarters. In November 2026, the role will transition permanently to our upcoming hub in Phuket, Thailand, offering a blend of high-impact work and an exceptional lifestyle. 

Cobblestone Values 

• Excellence in Hiring & Teamwork 
• Lifelong Learning Through Continuous Reflection 
• Independent Thinking Through a Meritocracy of Ideas 
• Winning 

Role Description: 

We are seeking a highly motivated and talented Data Scientist to join our dynamic team. With a passion for data-driven solutions and a strong academic background, the successful candidate will play a critical role in shaping business decisions and driving operational excellence through advanced analytics, predictive modelling, and the strategic implementation of Generative AI/LLM technologies. 

What we offer in this role  

• A full-time, high-impact position within our dynamic Commercial team. 
• A team of exceptional colleagues, committed to continuous learning and pushing the boundaries of what’s possible. 
• A career that challenges you to solve complex problems and rewards your drive for continuous innovation. 
• A unique opportunity to work on impactful projects, making independent decisions that drive real-world outcomes. 
• The chance to take full ownership of new projects, making high-impact decisions in a dynamic environment. 
• Equity participation, ensuring long-term alignment 

Key Responsibilities:  

• Analyse large, complex datasets to generate actionable insights that inform trading and commercial decisions. 
• Develop, deploy, and maintain predictive models to support market forecasting and trading strategy optimisation (e.g., time-series models, regression, tree-based methods). 
• Architect and implement production-ready AI/LLM solutions, such as Retrieval-Augmented Generation (RAG) pipelines or task-specific agents, integrated programmatically into analytical workflows (e.g., via APIs, LangChain, LlamaIndex). 
• Build, automate, and own end-to-end data workflows covering data ingestion, cleaning, feature generation, and model training, leveraging tools such as Python, SQL, Airflow, pandas, and workflow orchestration platforms (e.g., n8n or similar). 
• Apply advanced data science techniques, including synthetic data generation where appropriate, to improve model robustness, scalability, and operational efficiency. 
• Collaborate closely with traders and cross-functional stakeholders to translate business problems into high-quality, data-driven solutions. 
• Communicate insights and model outputs clearly and concisely, ensuring analytical work drives measurable trading and commercial impact. 

Requirements:  

• 2-3 years of experience in data science or a related field, with a demonstrated record of achieving exceptional results. 
• Strong academic background in computer science, mathematics, statistics, or a related field  
• Outstanding problem-solving and critical thinking skills, capable of addressing complex, high-impact challenges. 
• Expertise in Python programming, with an ability to apply it to advanced data science problems. 
• Applied AI Proficiency: Demonstrated practical experience programmatically integrating LLMs (via APIs or frameworks like LangChain/LlamaIndex) into data pipelines or analytical applications. 
• Automation Focus: Proven ability to design and implement automated, end-to-end data workflows that leverage AI for efficiency gains. 
• Knowledge of machine learning algorithms and data visualization tools  
• Exceptional communication and collaboration skills, with a demonstrated ability to excel in fast-paced, cross-functional environments 

This is an outstanding opportunity for a driven and talented Data Scientist to join an innovative trading company and make a significant impact on our business operations. If you possess a passion for data science and a proven track record of success, we encourage you to apply.  

Note: Experience in the power trading domain is highly desirable but not essential. We value exceptional talent and the ability to learn quickly. 

About the Role

We are entering a massive wave of demand for Agentic Copilot Platforms (ACP) and Unified Copilot Platforms (UCP) in the regional e-commerce sector. We need a hybrid technical sales professional who can own this service. You will act as the technical bridge between our AI product offerings and our e-commerce clients.

Your primary mission is to take the burden of "vibe coding" and prototyping off the executive team. You will build rapid, high-impact Proof of Concepts (PoCs)—like RAG pipelines, custom chatbots, and autonomous agents—and then present these solutions to non-technical stakeholders to close high-value custom engagements.

Key Responsibilities

• Rapid Prototyping & Demos: Build quick, functional PoCs (chatbots, AI agents, RAG pipelines) tailored to specific e-commerce client use cases to drive the sales process.
• Technical Pre-Sales: Act as the technical expert in client meetings. Translate complex AI capabilities and e-commerce data flows into clear, compelling business value for non-technical stakeholders (e.g., Marketing Directors, E-commerce VPs).
• ACP/UCP Deployment: Own the deployment and implementation strategy for quick-turnaround Agentic/Unified Copilot solutions for our regional clients.
• API & System Integration: Design workflows connecting top-tier LLMs with client e-commerce data streams (e.g., Shopify, CRMs, product catalogs).
• Client Advisory: Advise regulated and FMCG e-commerce brands on how to leverage AI safely and effectively within their existing cloud and data architectures.

Technical Requirements

• Programming & APIs: Strong proficiency in Python. Hands-on experience integrating major LLM APIs (OpenAI, Anthropic, Google Gemini, etc.).
• AI Frameworks: Working familiarity with LLM orchestration frameworks like LangChain or LlamaIndex.
• E-commerce Data Fluency: Understanding of the e-commerce tech stack (Shopify, CDPs, analytics) and how to structure product/customer data for AI consumption.
• Cloud Basics: Exposure to foundational cloud services across AWS, GCP, or Azure (knowing how to deploy and host a basic PoC).

Business & Soft Skill Requirements

• Experience: 2–5 years of experience in technical sales, solutions engineering, sales engineering, or a client-facing data science role.
• Communication: Exceptional ability to present highly technical concepts to non-technical audiences.
• Language: High proficiency in English (both written and spoken) is strictly required for client-facing work and technical documentation, alongside fluent Thai.
• Hustle: A builder’s mindset. You are comfortable moving fast, experimenting with new AI models as they drop, and doing whatever it takes to get a demo working before a big pitch.