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Experience Level
Mid to Senior
Qualifications
What We Seek:Proven experience in developing Generative AI applications, including RAG, multi-agent systems, Text2SQL, and fine-tuning, utilizing tools like HuggingFace, LangChain, and DSPy. Expertise in deploying production-ready Generative AI applications, with a strong focus on evaluation and optimization. Comprehensive data science experience, leveraging key machine learning tools such as pandas, scikit-learn, and PyTorch. Hands-on experience with large-scale machine learning deployments on AWS, Azure, or GCP. A graduate degree in a quantitative field (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent professional experience. Demonstrated ability to communicate complex technical concepts to both technical and non-technical audiences effectively. A genuine passion for collaboration, continuous learning, and delivering business value through AI.[Preferred] Familiarity with the Databricks Intelligence Platform and Apache Spark™ for processing large-scale datasets. Fluency in English is required, and proficiency in Mandarin is preferred.
About the job
About the AI Forward Deployed Engineering Team
The AI FDE team at Databricks in Singapore focuses on delivering professional services that help clients build and launch advanced AI applications. This group works closely with engineering, product management, and developer relations to move strategic projects forward and support internal experts. Team members connect directly with clients and colleagues, working with recent advances in Generative AI, LLMOps, and machine learning.
What You Will Do
Design and build Generative AI solutions, applying methods from Mosaic AI research to solve real client problems.
Lead the deployment of Generative AI applications for both customer-facing and internal use cases.
Serve as a trusted technical advisor to clients in various industries.
Share expertise and present findings at major conferences such as the Data + AI Summit.
Collaborate with product and engineering teams to influence product priorities and roadmaps.
About Databricks
Databricks is pioneering the future of data and AI by empowering organizations to innovate and transform through intelligent solutions. Our mission is to make data and AI accessible to everyone, fostering a collaborative culture that inspires creativity and drives success.
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Search for Principal Forward Deployed Software Engineer At Physicsx Singapore
About UsPhysicsX is an innovative deep-tech firm rooted in numerical physics and Formula One, committed to revolutionizing hardware innovation at a pace akin to software development.We are developing a cutting-edge AI-driven simulation software stack designed for engineering and manufacturing across advanced sectors. By facilitating high-fidelity, multi-physics simulation through AI inference throughout the entire engineering lifecycle, PhysicsX empowers engineers to achieve unprecedented levels of optimization and automation in design, manufacturing, and operations. Our clientele includes pioneering organizations in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive.The RoleAs a Senior Forward Deployed Software Engineer, your primary mission is to tackle our customers' most pressing challenges. You will create and implement applications that leverage our physics AI models to enable clients to innovate faster, more efficiently, and at reduced costs.Working as part of the delivery team, you'll partner directly with customers, data scientists, and machine learning engineers to develop applications that transform advanced engineering practices. We seek an individual who can grasp complex engineering concepts across various industries, deeply understand the challenges engineers face, and construct effective solutions. Who We're Looking ForTechnical Expertise: Given the high complexity of the diverse engineering disciplines we operate within, a proven ability to solve intricate problems is essential. A background in Mechanical Engineering or a related field is advantageous. This role requires proficiency across the full technology stack, with a robust foundation in software engineering, API design, and application deployment in production environments. Proactive Ownership: You will be accountable for generating impactful results for our customers, regardless of the challenges that arise. We are in search of a self-starter who instinctively identifies issues and resolves them comprehensively. You will take full responsibility for project outcomes and will acquire the necessary skills and knowledge to address novel challenges swiftly. Customer-Centric Focus: We develop tools that meet our customers' real needs, not just their desires. Therefore, we require someone who is genuinely customer-focused and can collaborate closely with clients to understand their challenges and create applications that redefine their engineering processes.
About UsPhysicsX is a pioneering deep-tech company rooted in numerical physics and inspired by Formula One, dedicated to propelling hardware innovation at the speed of software.We are developing an AI-driven simulation software stack designed for engineering and manufacturing across advanced industries. By facilitating high-fidelity, multi-physics simulation through AI inference throughout the entire engineering lifecycle, PhysicsX unlocks unprecedented levels of optimization and automation in design, manufacturing, and operations, empowering engineers to redefine the limits of possibility. Our clientele includes leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive.The RoleYour primary mission is to assist our customers in overcoming their most pressing challenges. As the Principal Forward Deployed Software Engineer, you will determine how PhysicsX’s Forward Deployed Engineers deliver software solutions that enable our clients to enhance their project outcomes, making them better, faster, and more cost-effective. You will set the benchmark for software engineering practices across our delivery processes and incorporate solutions developed with clients into our core product offerings.We seek a candidate with experience in building teams from the ground up and a demonstrated history of fostering engineering excellence to deliver tangible outcomes. Achieving success in this role necessitates deep expertise in technical project management, a strong sense of ownership regarding results, and the ability to immerse oneself in customer workflows while collaborating with their teams to address complex engineering challenges swiftly.In this role, you will:Oversee the technical delivery plan for multiple projects or work streams, translating business objectives into a clear roadmap with milestones, dependencies, and acceptance criteria.Integrate with customers to ensure successful production deployments and drive user adoption. Analyze workflows, shape tools/integrations, and translate requirements into actionable delivery plans. Lead onboarding, adoption, and change management processes.Nurture engineering talent by expanding the Forward Deployed Software Engineering team in London.Travel to customer locations in North America, Europe, Asia, and Oceania for an average of 3-4 weeks each quarter, collaborating closely with clients to develop solutions on-site.Manage the scope of new projects and work streams with existing customers while contributing to the onboarding of new clients to PhysicsX.
About Our TeamJoin OpenAI’s innovative Forward Deployed Engineering team, where we collaborate closely with our clients to transform cutting-edge research into operational systems. Our team operates at the dynamic intersection of customer delivery and core platform development, ensuring impactful outcomes for our partners.About the RoleWe are seeking dedicated and customer-oriented software engineers to develop bespoke software solutions that harness OpenAI’s APIs to address tangible client challenges. As a Forward Deployed Software Engineer (FDSWE), you will engage with clients and fellow OpenAI engineers to architect and implement scalable solutions to their most pressing issues. You will create abstractions that facilitate problem-solving and enhance our delivery speed and quality across all engagements. This role involves close collaboration with Sales, Solutions Engineering, Solutions Architects, and Customer Success Managers, ensuring a unified approach to client accounts. Additionally, you will liaise with our Research and Applied Product and Engineering teams to relay valuable client feedback, enriching our development process.This position is based in Singapore, utilizing a hybrid work model with 3 days in the office each week. We also provide relocation assistance for new hires, and expect approximately 50% travel.Key Responsibilities:Engage deeply with key clients to comprehend their business challenges and technical needs.Design, architect, and develop comprehensive full-stack solutions using an experimental and iterative approach.Draft detailed scopes of work and project timelines for both proof-of-concept prototypes and full-scale deployments.Actively collaborate with clients' technical teams, serving as a technical expert and trusted advisor to drive project completion on their infrastructure.Work in conjunction with Product, Research, and Applied teams to guarantee seamless client experiences, successful project outcomes, and actionable product feedback.Contribute to internal knowledge repositories, documenting best practices and insights gathered from customer interactions to enhance the Forward Deployed Engineering function.Ideal Candidate Profile:A minimum of 7 years of professional full-stack engineering experience (excluding internships) in relevant roles at tech and product-centric companies. Experience engaging directly with customers is highly valuable.Proficiency in programming languages and frameworks commonly used in full-stack development.Demonstrated ability in designing scalable and efficient software solutions.Strong problem-solving skills and the ability to work collaboratively in a fast-paced environment.Excellent communication skills, both verbal and written, with the capacity to translate complex technical concepts into easily understandable terms for clients.A passion for technology and a commitment to professional growth.
As a Forward Deployed Engineer (FDE) at Databricks, you will work closely with our most strategic clients to architect and implement customized full-stack applications and solutions leveraging the Databricks Data Intelligence Platform along with other prevalent software frameworks. You will take charge of the system architecture, influence design decisions, and execute comprehensive systems that encompass data engineering, artificial intelligence, and application development. This role is hands-on and customer-facing, perfectly suited for software engineers, developers, and innovators who excel at the crossroads of technology and business impact. The ideal candidate will blend technical prowess with flexibility, an inquisitive mindset, and a fervor for tackling intricate challenges that yield quantifiable results. Your Impact: Architecture Ownership: Lead architectural and design decisions, ensuring solutions are secure, scalable, and meet customer requirements while adhering to Databricks best practices. Application Engineering: Design and develop applications that integrate backend, frontend, and other components, transforming data and AI into actionable insights for enterprise clients using the Databricks platform. Solution Delivery: Deliver robust production systems that cover data ingestion and transformation, machine learning/AI model integration, and user-facing applications. Customer Engagement: Collaborate closely with customer teams, interacting with stakeholders from technical staff to executives to fully grasp challenges and deliver impactful solutions. Cross-Functional Collaboration: Work alongside Sales, Product, and Field Engineering to ensure a smooth customer experience from pre-sales to post-deployment. Scalability and Reusable Assets: Contribute to the development of accelerators, frameworks, and best practices that enhance impact across multiple accounts and shape the Databricks product roadmap.
Role overview The Forward Deployed Engineer position at OpenAI in Singapore centers on collaborating directly with clients to implement advanced AI solutions tailored to their requirements. This role involves translating client needs into practical applications using OpenAI technologies. Working closely with a variety of stakeholders, the Forward Deployed Engineer helps guide the deployment process and addresses challenges as they arise. The focus is on ensuring that each solution is integrated smoothly and delivers meaningful results for clients. Key responsibilities Work hands-on with clients to apply OpenAI technologies to real-world problems Collaborate with internal and external stakeholders throughout the deployment process Support effective and efficient integration of AI solutions for client needs Location This role is based in Singapore.
About UsPhysicsX is a pioneering deep-tech company rooted in numerical physics and Formula One, committed to driving hardware innovation at the speed of software.We are developing an advanced AI-driven simulation software suite tailored for engineering and manufacturing in cutting-edge industries. By facilitating high-fidelity, multi-physics simulations through AI inference throughout the engineering lifecycle, PhysicsX opens up unprecedented levels of optimization and automation in design, manufacturing, and operational processes — empowering engineers to redefine what is possible. Our clientele includes leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive sectors.Who We Are Looking ForAs a Senior FEA Engineer (Delivery), you will be a problem-solver and innovator, passionate about developing practical solutions that empower our clients to enhance their engineering decisions. You will possess the ability to understand and apply advanced engineering concepts across various industries, excelling in direct collaboration with customers (often on-site) to construct CAE models integrated into AI tools that are not only functional but widely utilized.Your deep expertise in structural mechanics, materials science, and multi-physics modeling will be complemented by a strong capability to apply fundamental knowledge to real-world engineering challenges. You will be highly proficient in at least one of the following: NASTRAN, ABAQUS, or ANSYS Mechanical, and skilled at automating these tools to create scalable optimization workflows that yield significant results. Familiarity with open-source FEA packages such as CalculiX or FEniCS is a notable advantage. Proficiency in parametric CAD modeling (NX or CATIA) and coding in Python (or a quick ability to learn programming languages) is also beneficial. Experience with explicit dynamics (LS-DYNA, Abaqus/Explicit) for crash simulations is highly regarded. A background in coupled simulations such as thermo-mechanical analysis and fluid-structure interaction modeling is also desirable.With 3-5 years of industry experience (post Master’s or PhD) in a commercial setting, you will be ready to make an immediate impact. You will be confident in independently setting up FEA simulations, interpreting complex results with depth, and making informed decisions grounded in solid engineering judgment.This RoleIn this role, you will collaborate closely with our Data Scientists, Machine Learning Engineers, and clients to understand and define the engineering challenges we aim to address.You will be instrumental in delivering high-fidelity simulations by:Independently constructing complex structural and multi-physics models.
About UsPhysicsX is a pioneering deep-tech company with a strong foundation in numerical physics and Formula One, dedicated to revolutionizing hardware innovation at software speed.We are developing an AI-powered simulation software stack designed for engineering and manufacturing across high-tech industries. By harnessing high-fidelity, multi-physics simulations through AI inference throughout the engineering lifecycle, PhysicsX enables unprecedented levels of optimization and automation in design, manufacturing, and operations—empowering engineers to explore new possibilities. Our clientele includes leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive.Who We're SeekingAs a Principal Data Scientist (Algorithm Engineer) in our Delivery team, you will be an accomplished problem solver and technical leader, passionate about crafting practical solutions that empower customers to enhance their engineering decisions. You possess the ability to comprehend complex engineering concepts across diverse industries, spearhead technical initiatives, and collaborate directly with clients, often working alongside them to integrate cutting-edge AI models into functional tools.You have a proven track record of addressing challenging problems that demand strong foundations in data-driven modeling and deep learning techniques, with substantial hands-on experience in probabilistic methods and predictive modeling. Your proficiency in Python, complemented by advanced expertise in libraries such as NumPy, SciPy, Pandas, TensorFlow, and PyTorch, is critical, along with a demonstrated ability to design and deploy scalable, production-grade models and data pipelines.With extensive industry experience (post-Master's or PhD) in a commercial setting, you are prepared to not only execute but also lead and mentor others. You are enthusiastic about advancing both your technical knowledge and leadership capabilities, naturally taking ownership of complex data science initiatives and guiding teams toward success. You continually enhance the systems and solutions you engage with, ensuring they are practical, impactful, and aligned with the evolving needs of our customers.This RoleIn this senior position, you will collaborate closely with our Simulation Engineers, Machine Learning Engineers, and clients to identify and define engineering and physics challenges while providing technical leadership to your team.You will lay the groundwork for successful, impactful solutions by:
About ChalkChalk is revolutionizing the data platform landscape, paving the way for the next generation of machine learning applications. We dismantle the complexities, latency, and scalability challenges that have historically limited ML capabilities. Our platform combines the blazing performance of Rust with user-friendly tools that developers adore. Renowned companies trust Chalk for a myriad of applications—from thwarting fraudulent credit card transactions and verifying identities to optimizing clean energy production. Recently, we secured a $50 million Series A funding round, spearheaded by Felicis.About the RoleAs a talented forward-deployed engineer, you will craft tailored technical solutions and collaborate with machine learning teams to enhance Chalk’s proprietary infrastructure. Your role will involve engaging directly with Chalk's customers to develop efficient feature pipelines tailored to specific challenges in healthcare, finance, and recommendation systems. This is an incredible opportunity to work in-person as an early team member and make a substantial impact at a rapidly growing startup.What You Will DoDevelop and implement Chalk technology solutions for our clients, ensuring seamless integration into various environments.Collaborate closely with Engineering and Sales teams.Serve as the primary technical contact during pre-sales and post-sales processes (including customer onboarding and ongoing support).Advise customers on new product offerings as their requirements evolve.Participate in the recruitment and development of the Engineering team.What We’re Looking ForStrong technical background with experience in software development or machine learning model creation.A minimum of 2 years of professional experience in backend software engineering.Proficiency in Python and SQL.Ability to effectively collaborate with both technical and non-technical team members.Exceptional written and verbal communication skills, along with strong problem-solving and analytical abilities.
About UsPhysicsX is an innovative deep-tech company rooted in numerical physics and the high-performance world of Formula One, committed to revolutionizing hardware innovation with the agility of software development.We are developing an AI-driven simulation software suite designed for engineering and manufacturing in advanced industries. By facilitating high-fidelity, multi-physics simulations through AI inference across the entire engineering lifecycle, PhysicsX empowers engineers to achieve unprecedented levels of optimization and automation in design, manufacturing, and operations. Our clientele includes top innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive sectors.Who We Are SeekingAs a Senior CFD Engineer (Delivery), you will be a creative problem solver and builder, dedicated to developing practical solutions that help our customers enhance their engineering decisions. You possess the ability to understand and apply advanced engineering principles across various industries, and excel in collaborating directly with clients, often on-site, to construct CAE models integrated into AI tools that are both functional and widely utilized.Your expertise encompasses fluid mechanics, heat transfer, and multiphase modeling, alongside a robust capacity to translate fundamental knowledge into practical applications across diverse engineering challenges. You are highly skilled in at least one of the following simulation tools: Star-CCM+, OpenFOAM, or Fluent, and proficient in automating these tools to create scalable optimization workflows that yield significant outcomes. Familiarity with parametric CAD modeling (NX or CATIA) and coding experience in Python/Java (or the capability to swiftly learn programming languages) is a plus.With 3-5 years of industry experience (post-Masters or PhD) in a commercial setting, you are poised to hit the ground running. You are adept at independently configuring CFD simulations, interpreting intricate results with insight, and making informed decisions grounded in solid engineering judgment.This RoleIn this position, you will collaborate closely with our Data Scientists, Machine Learning Engineers, and clients to identify and define the engineering challenges at hand.Your key responsibilities will include delivering high-fidelity simulations by:Independently developing complex multi-physics models, from geometry preparation and meshing to simulation and post-processing of intricate real-world phenomena, while integrating experimental data for model validation.Creating robust parametric CAD models (NX or CATIA) along with simulation pipeline automation to facilitate advanced design optimization and Design of Experiments (DoE).
About UsPhysicsX is an innovative deep-tech company rooted in numerical physics and Formula One racing, committed to propelling hardware innovation at the speed of software.We are developing an AI-driven simulation software suite for the engineering and manufacturing sectors across advanced industries. By facilitating high-fidelity, multi-physics simulations through AI inference throughout the engineering lifecycle, PhysicsX opens new avenues for optimization and automation in design, manufacturing, and operations—empowering engineers to transcend traditional boundaries. Our clientele includes forefront innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive.Who We’re Looking ForAs a Senior Machine Learning Engineer within our Delivery team, you will be an accomplished problem solver and technical leader focused on making a significant impact. You are adept at comprehending intricate engineering concepts across various industries, spearheading technical initiatives, and collaborating closely with customers—often working alongside them on-site—to integrate cutting-edge AI models into practical tools.You possess a proven track record of delivering machine learning systems end-to-end at scale: you design, build, and test reliable, scalable ML data pipelines; you are skilled in exploring and manipulating 3D point-cloud and mesh data for geometry-aware modeling; you choose the most suitable libraries, frameworks, and tools while making pragmatic product decisions that set the Delivery team up for success. Operating at the intersection of data science and software engineering, you convert R&D outputs into reusable libraries, tooling, and products.With a minimum of 3 years of industry experience (post-Master's or PhD) in a commercial setting, you are prepared to not only execute but also mentor and lead others. Your enthusiasm for taking ownership of complex work streams and guiding teams to success is matched by your commitment to continuously enhancing the systems and solutions you work on to ensure they are practical, impactful, and responsive to our customers' evolving needs.This RoleAs a Senior Machine Learning Engineer, your collaboration with Data Scientists, Simulation Engineers, and clients will be crucial in understanding and defining the engineering and physics challenges we tackle. You will engage with customers and leverage your influence to drive decisions regarding reliable deployment with measurable outcomes.Your responsibilities will include:Taking ownership of the deployment of machine learning models and engineering surrogates (e.g., deep learning on CAE/CFD/FEA data, time-series forecasting, anomaly detection, optimization & control) to customer production environments.Communicating results and trade-offs effectively to various stakeholders.
About ChalkChalk is at the forefront of innovation in machine learning, developing a cutting-edge data platform that dismantles the traditional barriers of complexity, latency, and scalability. Our platform seamlessly integrates Rust-speed performance with user-friendly tools that developers appreciate. Top-tier companies rely on Chalk for a variety of applications, from combating fraudulent credit card transactions to identity verification and optimizing renewable energy efficiency. Recently, we secured a $50 million Series A funding, led by Felicis.About the RoleAs a highly skilled software engineer, you will create tailored technical solutions and collaborate with machine learning teams to enhance Chalk’s proprietary infrastructure. Your role will involve working directly with our customers to develop efficient feature pipelines addressing challenges in healthcare, finance, and recommendation systems. This position offers a unique opportunity to engage closely with clients, gather requirements, and engineer feature pipelines that facilitate use cases such as cancer detection, fraud prevention, and product recommendations. Join us in person as an early team member and significantly impact our high-growth start-up.Key ResponsibilitiesDevelop and implement Chalk technology for clients, familiarizing yourself with our infrastructure to ensure seamless integration across various environments.Collaborate closely with Engineering and Sales teams to drive customer success.Serve as the primary technical contact for clients during both pre-sales and post-sales phases, assisting with onboarding and ongoing support.Advise clients on new product offerings as their business needs evolve.Participate in interviewing and expanding the Engineering team.QualificationsStrong technical background with experience in software development or building machine learning models.Minimum of 2 years of professional experience in backend software engineering.Proficiency in Python and SQL.Ability to work effectively within teams consisting of both technical and non-technical members.Exceptional written and verbal communication skills, along with strong problem-solving abilities and storytelling techniques.
About UsPhysicsX is a pioneering deep-tech company rooted in numerical physics and Formula One, committed to accelerating hardware innovation at the speed of software.We are developing an AI-powered simulation software suite for engineering and manufacturing in cutting-edge industries. By facilitating high-fidelity, multi-physics simulations through AI inference throughout the entire engineering lifecycle, PhysicsX unveils unparalleled levels of optimization and automation in design, manufacturing, and operations—empowering engineers to transcend limits. Our clientele includes leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive.Who We’re Looking ForAs a Senior Data Scientist in the Delivery team, you will be a seasoned problem solver and technical leader who is enthusiastic about crafting practical solutions that empower customers to enhance their engineering decisions. You have a strong grasp of advanced engineering concepts across various industries, can spearhead technical initiatives, and excel in collaborating directly with clients—often working side-by-side with them on-site—to integrate cutting-edge AI models into tools that are both functional and impactful.You have a proven track record of tackling complex problems requiring a solid foundation in data-driven modeling and deep learning techniques, alongside extensive hands-on experience with probabilistic methods and predictive modeling. Your proficiency in Python, along with advanced skills in libraries such as NumPy, SciPy, Pandas, TensorFlow, and PyTorch, is critical, with a demonstrated capability to architect and deploy scalable, production-ready models and data pipelines.With 3-5 years of industry experience (post-Master's or PhD) in a commercial, non-research environment, you are ready to not only execute tasks but also mentor and lead others. You are genuinely excited about enhancing both your technical expertise and leadership capabilities, naturally assuming ownership of complex data science workflows and guiding teams towards success. You continuously refine the systems and solutions you work on to ensure they are practical, impactful, and aligned with the evolving needs of our customers.This RoleIn this senior position, you will collaborate closely with our Simulation Engineers, Machine Learning Engineers, and clients to identify and define the engineering and physics challenges we aim to address, while providing technical leadership to your team.You will lay the groundwork for successful, impactful solutions by:Leading the pre-processing and analysis of complex data to prepare it for predictive modeling, establishing best practices...
Join OpenAI as a Recruiter for our Forward Deployed Engineering team, where you will play a crucial role in sourcing top-tier engineering talent. Your mission will be to identify candidates who are not only technically proficient but also align with our vision of ensuring that artificial intelligence benefits humanity. You will work closely with hiring managers to understand team needs, craft compelling job descriptions, and promote our unique company culture.
About the RoleAs a Forward Deployed Engineer at Field AI, you will play a pivotal role in deploying and integrating our cutting-edge autonomous systems in real-world scenarios. This position combines engineering expertise with critical problem-solving skills. You will collaborate directly with clients and internal teams to optimize operational success, swiftly integrate field feedback to enhance system reliability and performance, and promote adoption to ensure our solutions become essential from the start. If you excel in dynamic, high-impact settings and are passionate about contributing to the future of autonomy, this opportunity is your chance to make a significant impact.
About UsAt Addepar, we are a leading global data and AI platform that empowers investment professionals to transform intricate financial data into actionable insights. Our platform seamlessly integrates portfolio, market, and client data, providing a comprehensive portfolio view that enhances investment and client workflows through AI-powered insights. With over 1,400 firms across nearly 60 countries managing close to $9 trillion in assets using Addepar, our open platform collaborates with nearly 650 software, data, and consulting partners to facilitate end-to-end investment operations for firms of all sizes and complexities. Addepar serves clients globally with offices in major cities including New York City, Salt Lake City, London, Edinburgh, Pune, Dubai, Geneva, and São Paulo.The OpportunityWe are seeking a pioneering Forward Deployed Engineer (FDE) to join our team in Singapore. In this vital role, you will significantly influence Addepar’s expansion in the region.As a Forward Deployed Engineer, you will collaborate directly with key technical and strategic stakeholders at Addepar’s largest enterprise clients. Your responsibilities will include crafting custom data integrations and enhancing platform functionalities, all while working independently and taking ownership to create substantial impacts for our clients.Unlike traditional service roles, FDEs at Addepar are integral to the platform, fostering collaborative partnerships with clients and focusing on outcomes instead of billable hours. You will be part of a global FDE team that continuously assesses opportunities and priorities to ensure that we are addressing the most pivotal and impactful challenges for our clients.All applicants must possess legal authorization to work in Singapore from their first day of employment.
About the AI Forward Deployed Engineering Team The AI FDE team at Databricks in Singapore focuses on delivering professional services that help clients build and launch advanced AI applications. This group works closely with engineering, product management, and developer relations to move strategic projects forward and support internal experts. Team members connect directly with clients and colleagues, working with recent advances in Generative AI, LLMOps, and machine learning. What You Will Do Design and build Generative AI solutions, applying methods from Mosaic AI research to solve real client problems. Lead the deployment of Generative AI applications for both customer-facing and internal use cases. Serve as a trusted technical advisor to clients in various industries. Share expertise and present findings at major conferences such as the Data + AI Summit. Collaborate with product and engineering teams to influence product priorities and roadmaps.
Role Overview GitLab is hiring a CX Forward Deployed Engineer to help customers get the most from the GitLab platform. This remote role is open to candidates in Australia and Singapore. What You Will Do Collaborate directly with clients to implement solutions that improve their experience with GitLab. Share technical knowledge to help customers deploy and fine-tune GitLab features for their unique requirements. Advise on best practices so clients can realize the full value of the platform.
Join Grab as a Principal Engineer for Payments, where you will be at the forefront of transforming digital payment solutions in Southeast Asia. You will lead a team of talented engineers to design and implement scalable payment systems that enhance user experience and drive business growth.Your expertise will contribute to innovative solutions that meet the diverse needs of our customers, ensuring seamless transactions across various platforms. This is an exciting opportunity to shape the future of payments in a rapidly evolving market.
About AgodaAgoda connects the world through seamless travel experiences. Founded in 2005 by two passionate friends and entrepreneurs, Agoda was designed to simplify global exploration for everyone.Now a proud member of Booking Holdings [NASDAQ: BKNG], our diverse team of over 7,000 professionals from 90 countries collaborates from various offices worldwide. Each day, we provide travelers with access to exceptional deals on millions of hotels, flights, and experiences.No two days are alike at Agoda. Our culture thrives on data and technology, driving our curiosity and innovation. Ready to embark on an exciting journey that shapes the future of travel? Join us!The Opportunity:The DevOps Engineering team plays a crucial role in automating the Software Development Lifecycle across all of Agoda’s Research & Development initiatives. This team is responsible for maintaining central development-related tools and creating internal web portals to boost development efficiency and security. The work of this engineering team significantly impacts all development activities at Agoda.In this Role, you’ll get to:Implement and uphold CI/CD best practices while automating security testing at DevOps speed.Maintain all core development systems for source control, CI, service discovery, and more.Act as a bridge between Development and Operations teams.Engage in full-stack development for internal tools and portals.What you’ll Need to Succeed:Over 10 years of experience in Software Engineering / DevOps / Platform Engineering, with several years in a senior or principal role.Hands-on experience with the entire Software Development Lifecycle: Requirements, Design, Code, Test, Deploy.Proficient coding skills in a modern programming language (preferably Python or Go).Familiarity with development ecosystem tools: Git, CI, Docker, Kubernetes.A passion for learning cutting-edge technologies and automating large-scale processes.
*Thoughtworks Singapore is currently accepting applications exclusively from individuals with the right to work in Singapore, specifically Singapore Citizens and Singapore Permanent Residents, due to business requirements.As a Principal Developer at Thoughtworks, you will take on a multifaceted role that adapts to the unique needs of our clients. This may involve acting as a technical advisor to senior client executives, steering solution architecture for large technical initiatives, or directly driving hands-on technical implementations alongside our delivery teams.Your role will also encompass providing both strategic and tactical leadership on client accounts, establishing yourself as a trusted advisor through impactful interactions. By fostering a culture of high-performing teams, you will consistently deliver exceptional value to our clients, thereby contributing to the growth and evolution of our business. The success of an account reflects the quality and efficiency you cultivate within your team.
Mar 19, 2026
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