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Experience Level
Entry Level
Qualifications
Qualifications:Strong background in engineering or a related technical field. Proven experience in deployment and integration of complex systems. Excellent problem-solving skills and ability to work under pressure. Effective communication skills, both verbal and written. A proactive approach to gathering and implementing feedback.
About the job
About the Role
As 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 Field AI
About Field AI: Field AI is a pioneering technology company focused on the development and deployment of autonomous systems. We are dedicated to innovation and excellence, working at the intersection of technology and real-world application to transform industries and improve efficiency.
About Our TeamJoin the dynamic AI Deployment Engineering team at OpenAI, where we are committed to ensuring the safe and impactful deployment of Generative AI applications for developers and enterprises. As trusted advisors and thought partners, we collaborate with our clients to develop a robust backlog of GenAI use cases tailored to their industries, effec…
AI Deployment Engineer for StartupsAbout the TeamThe AI Deployment Engineering team collaborates closely with pioneering startups. We serve as trusted advisors and thought partners, ensuring that OpenAI’s technology is deployed safely and effectively. Our work involves partnering with engineering, research, and product teams to translate insights into evaluation systems, product enhancements, and improved model performance.This team operates at the nexus of customer needs and model quality. We merge hands-on technical expertise with strong product judgment to convert complex, high-value use cases into actionable signals that enhance both the customer experience and the underlying systems.About the RoleWe are on the lookout for a technically adept, product-oriented engineer eager to advance AI with our strategic startup partners. You will engage with some of the most innovative AI startups globally, assisting them in optimizing their systems while translating those insights into sustainable improvements across OpenAI’s research and products. You will collaborate on intricate workflows, pinpoint critical gaps, and transform those into reproducible evaluations and technical insights, thereby influencing OpenAI's research and product trajectory.This position is ideal for engineers who excel at debugging workflows, refining prompts or agents, designing evaluations, and liaising across research and product teams. You should be enthusiastic about tackling ambiguous, high-impact challenges and motivated by the chance to influence how advanced AI systems evolve in practice.This role particularly emphasizes building relationships within the startup ecosystem, including presentations to developer and startup audiences. Strong communication skills are essential, as you will discuss high-level technical trends alongside deeper technical engagements with specific startups.This position is based in our Singapore office, utilizing a hybrid work model of three in-office days per week, along with relocation assistance for new hires.In this Role, You Will:Engage directly with strategic startup clients to comprehend essential workflows, uncover failure modes, and identify impactful opportunities for enhancement.Prototype and refine prompts, agents, and workflow designs to gain insights into system behaviors and unlock customer value.Synthesize and deliver valuable feedback to the OpenAI product and research teams.
Role Overview IT Labs is hiring a Deployment Engineer based in Singapore. This role supports a deeptech client focused on transforming engineering through AI. The client develops AI-powered simulation software for industries such as Aerospace, Automotive, Energy, and Semiconductors. The Deployment Engineer acts as a bridge between engineering teams and the client, handling end-to-end deployment of infrastructure solutions. The work involves close collaboration with stakeholders to understand requirements and constraints, aiming for smooth implementation of scalable, secure, and observable systems that support advanced AI workflows. What You Will Do Work directly with clients to assess infrastructure needs, security considerations, and deployment preferences. Design and carry out deployment strategies for Kubernetes clusters on AWS, Azure, and on-premise environments. Serve as the main technical contact during deployments. Troubleshoot complex deployment issues, distinguishing between infrastructure and application causes. Validate systems to ensure solutions perform reliably in client settings. Gather client feedback to help shape internal development priorities. Apply and refine deployment best practices, mentoring team members along the way. What Matters for Success This position calls for strong technical skills in infrastructure and clear communication. The Deployment Engineer guides clients through complex deployments and ensures solutions address practical challenges in the field. Location Singapore (on-site or hybrid, as needed for client engagement)
About MistralAt Mistral AI, we harness the transformative power of artificial intelligence to streamline tasks, enhance productivity, and foster creativity. Our innovative technology is crafted to integrate effortlessly into everyday work environments.We are committed to democratizing AI through high-performance, optimized, open-source models and solutions. Our all-encompassing AI platform caters to enterprise requirements, whether deployed on-premises or in the cloud. Among our offerings is Le Chat, a versatile AI assistant designed for both personal and professional use.Our team is dynamic and collaborative, united by a shared passion for AI and its potential to revolutionize society. With a diverse workforce spread across France, the USA, the UK, Germany, and Singapore, we thrive in competitive settings, continuously pushing the boundaries of innovation. We pride ourselves on being creative, humble, and team-oriented.Join us in shaping the future of AI and making a meaningful impact. Discover more about our culture at https://mistral.ai/careers.Key ResponsibilitiesPre-Sales & Sales Activities:• Engage in pre-sales conversations to identify potential clients' needs, challenges, and goals.• Conduct lead qualification calls to identify prospects who will benefit most from our offerings.• Collaborate with the sales team to advance the sales pipeline, providing essential technical insights and expertise.Product Implementation & Integration:• Guide clients in deploying our text completion API within their existing infrastructure.• Work closely with customers to tailor models to meet their specific requirements.• Assist clients in seamlessly integrating our APIs into their front-end applications to ensure an optimal user experience.• Maintain regular communication with product and technical teams to share feedback and suggest enhancements.• Design and develop product features that address the needs of multiple customers.Customer Success & Support:• Ensure customers maximize the value of our products.• Provide post-deployment support, promptly addressing any issues or challenges.• Conduct regular reviews with customers to assess satisfaction levels and collect feedback.• Recommend product optimizations and new features based on customer input.• Develop new features as required.About You• You possess a degree in a relevant scientific discipline (e.g., Computer Science, Data Science, Engineering).
About the AI Deployment Management Team The AI Deployment Management (ADM) team at OpenAI helps organizations realize meaningful, lasting results through OpenAI’s products. The team focuses on structured training, technical support, and scalable deployment programs that move clients from early experimentation to full-scale production. By working closely with businesses, ADM supports the integration and operational use of AI, speeding up value delivery and strengthening OpenAI’s position in daily workflows. Role Overview: Lead AI Deployment Manager OpenAI is hiring a Lead AI Deployment Manager in Singapore to guide a team dedicated to helping enterprise clients deploy and adopt OpenAI’s products. This hybrid role combines technical leadership, customer enablement, and team management. The position requires three days per week in the Singapore office, and relocation assistance is available for new hires. The Lead AI Deployment Manager will build and mentor a group of AI Deployment Managers, designing scalable training programs that enable organizations to operationalize advanced AI across OpenAI’s product suite. Collaboration with Sales, Technical Success, and Product teams is central to ensuring clients have the resources, knowledge, and support needed for successful AI deployment. Your Responsibilities Lead Customer Enablement Efforts Develop and manage the technical enablement strategy for products such as ChatGPT Enterprise, Codex, Agents, and APIs. Oversee customer training services throughout the client journey, from onboarding to ongoing adoption and expansion. Design and deliver programs including enterprise onboarding, developer workshops, executive briefings, and technical bootcamps. Promote customer engagement and sustained usage through structured enablement initiatives that drive measurable business outcomes. Create scalable training materials, playbooks, and best practices based on learnings from client engagements. Build and Lead a High-Performing Team Promote a culture of excellence, collaboration, and ongoing improvement within the team.
OpenAI is hiring a Technical Deployment Lead in Singapore to guide the rollout of advanced AI technologies. This position centers on coordinating with teams across different functions to make sure deployments run smoothly and meet high operational standards. Role overview The Technical Deployment Lead will focus on integrating OpenAI’s AI solutions into various settings. The role involves hands-on leadership during deployment, working closely with engineers, product managers, and other stakeholders to support successful project outcomes. What you will do Manage the deployment process for OpenAI’s AI technologies in Singapore and the region. Work with cross-functional teams to ensure seamless integration of solutions. Support operational excellence by identifying and addressing challenges during deployment. Requirements Experience leading technical deployments or integrations. Strong collaboration skills with multidisciplinary teams. Ability to manage projects in varied environments.
Role Overview The Rapid Deployment Operations Engineer at Xcellink works within the Rapid Deployment Operations Team in Singapore (West). This role partners with Service Delivery, Support, and Project Teams to address technical challenges, support production deployments, and provide technical assistance during incidents. Regular collaboration with stakeholders is key to maintaining smooth operations and service quality. Main Responsibilities Support the Service Delivery Team in meeting service standards as outlined in Service Level Agreements (SLAs) with customers. Share feedback with the Service Delivery Team on HR and operational topics that impact service commitments. Respond to and resolve operational issues raised by customers or the Service Delivery Manager. Implement service recovery plans when required. Take part in candidate interviews to assess fit for project needs. Assist the Operations Lead in managing project teams to ensure projects are delivered successfully. Work with the Service Delivery Manager and Customer Team Lead to address any SLA breaches by the support team. Join monthly and quarterly operations reviews with stakeholders to discuss SLA adherence and related topics. Integrate with project teams as needed to help deliver on project objectives. Participate in discussions about improving service quality and operational processes. Develop training programs focused on technical skills and soft skills. Set up and maintain knowledge transfer processes for smooth team transitions. Help refine operational processes to strengthen Xcellink’s service management and delivery. Oversee the development and rollout of training and process documentation for the Service Delivery Team and Customer Operations. Ensure the Support Team follows Customer Business Standards and controls, protecting intellectual property rights. Carry out other duties as assigned by the Supervisor or Operations Lead.
Robotics AI EngineerLocation: SingaporeJoin Field AI in revolutionizing the interaction between robots and the real world. We are pioneering the development of risk-aware, dependable, and field-ready AI systems that tackle the most intricate challenges in robotics, fully realizing the potential of embodied intelligence. Our innovative approach transcends conventional data-driven methods and pure transformer architectures, and we are paving a new path with globally deployed solutions that yield tangible results and continuously enhance models through real-world applications.About Field AIAt the cutting edge of robotic embodied AI, Field AI is transforming sectors such as construction, security, mining, and manufacturing. Our autonomous robots operate across the globe, frequently in challenging environments, providing essential insights to our clients. Whether it’s tracking construction progress, ensuring adherence to safety regulations, or performing predictive maintenance, Field AI is pioneering technologies that create significant impacts.About the RoleAs a Robotics AI Engineer, your role will involve conceptualizing and deploying AI algorithms that empower robots to perceive, reason, and make decisions in unstructured environments. You will work collaboratively with interdisciplinary teams, including robotics, machine learning, and systems engineering, to transition groundbreaking autonomy solutions from research to practical applications.
Join Assurity Trusted Solutions (ATS), a subsidiary of the Government Technology Agency (GovTech), as we navigate the evolving digital and cyber landscape. ATS has been a trusted partner for over a decade, delivering a wide array of infrastructure and operational services, governance and assurance services, and managed processes. We are committed to fostering collaboration with GovTech, government agencies, and commercial partners to mitigate cyber threats and enhance security frameworks.We are on the lookout for a seasoned professional well-versed in IT Asset Management and Operating System Deployment using Microsoft System Center Configuration Manager (SCCM/MECM). In this pivotal role, you will oversee the IT asset lifecycle management while specializing in the deployment of operating systems. This position merges strategic asset management with core technical skills in OS deployment, imaging, and automation. Selected candidates will be offered a direct 2-year contract with comparable benefits.
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.
Join the team at FUKU AI, a pioneering force in the field of artificial intelligence technology. We are committed to reshaping industries through our innovative AI solutions. Our passion for excellence drives us to employ the latest research and development practices to create AI applications that are not only impactful but also enhance operational efficiency and promote growth. Our team is made up of elite professionals dedicated to advancing AI technology and delivering outstanding results for our clients.Job Responsibilities:- Design, develop, and implement sophisticated AI models and algorithms to tackle complex challenges.- Collaborate with interdisciplinary teams to seamlessly integrate AI solutions into existing frameworks.- Conduct cutting-edge research to propel advancements in AI and machine learning technologies.- Analyze and interpret data to uncover trends and insights for AI model refinement.- Optimize AI models for enhanced performance, scalability, and reliability.- Stay abreast of the latest developments in AI and machine learning to ensure our solutions remain at the forefront of technology.- Document AI processes and methodologies for effective knowledge transfer and future reference.
Innovate and develop cutting-edge AI solutions utilizing large language models (LLMs) to enhance productivity and drive significant business outcomes.Oversee the complete development cycle from conception to deployment of AI-driven solutions across diverse sectors.Create scalable AI infrastructures that align with Omio’s ambitious global growth objectives.Champion AI adoption within the organization by showcasing tangible benefits to stakeholders.Work collaboratively with Business, Product, and Engineering teams to seamlessly integrate AI into existing workflows and promote widespread adoption.Effectively communicate complex models, outcomes, and systems to both technical and non-technical audiences, including C-suite executives.
Join xcellink as a Senior AI Engineer, where you will play a pivotal role in designing and delivering advanced, agent-based AI solutions utilizing cutting-edge Large Language Models (LLMs). Collaborating with a diverse range of cross-functional teams, you will integrate Generative AI into existing products and services, crafting scalable solutions that yield substantial business benefits.Your ResponsibilitiesArchitect and develop agent-driven AI systems utilizing LLMs and state-of-the-art frameworks.Seamlessly integrate Generative AI into operational systems and business applications.Create and maintain APIs and backend services using Python with frameworks such as FastAPI or Flask.Deploy AI applications on cloud platforms including Azure, AWS, or GCP with technologies like Docker, Kubernetes, and serverless computing.Enhance prompt optimization, fine-tune LLMs, and establish MLOps/LLMOps pipelines.Work closely with product management, engineering, and business stakeholders in a dynamic environment.
Why You Should Consider Joining Us: At SonarSource, we are a collective of exceptional, driven professionals committed to empowering organizations to produce secure, high-quality code with efficiency and precision. Our solutions address root problems directly—starting with the source code itself. Our vibrant company culture spans across multiple countries, including our offices in the USA, Switzerland, the UK, Singapore, and Germany. We believe in creating an environment where team members take pride in their work, are passionate about their contributions, and are motivated by the synergy of their colleagues. With strong ties to the open-source community, our mission is clear: to deliver innovative solutions that promote Clean Code. Your Role and Impact: Join our research program focused on the automated evolution of software through advanced analysis, verification, and test generation techniques. Your contributions will be pivotal in areas such as repairing security vulnerabilities, applying patch transplantation across significant software systems like Linux, and utilizing agentic workflows to streamline software evolution. You will engage in groundbreaking projects that leverage AI and ML technologies in software engineering. This role provides a unique chance to conduct innovative research, devise cutting-edge algorithms, and aid in the development of software tools that enhance performance, reliability, and adaptability of systems.
About the Role bjakcareer is hiring an Applied AI Engineer in Singapore. This role focuses on building AI-driven applications and solutions that strengthen our product lineup. The work involves hands-on development and close collaboration with teams across the company. What You Will Do Design and implement artificial intelligence algorithms for real-world use cases Develop AI-powered features that improve our products Work with colleagues from different disciplines to deliver technology projects Contribute ideas and technical input to our broader technology strategy Location This position is based in Singapore.
Job DescriptionWe are on the lookout for a talented and seasoned Python Backend Engineer to join our dedicated Materials Science AI team. In this pivotal role, you will take full ownership of the AI Agent architecture, focusing on the development of formulation and search agents. Your mission will involve designing the 'brain' of our systems, orchestrating intricate workflows between Large Language Models (LLMs), internal skill modules, and scientific search APIs.You will work in close collaboration with cross-functional stakeholders, mentor junior engineers, and foster innovation in our Agentic backend services, ensuring seamless integration with our Vue-based frontend.
Key ResponsibilitiesDesign and implement core modules for the Manus Agent, facilitating the application of generative AI in practical contexts.Enhance Agent performance through innovative prompt engineering, tool development, retrieval-augmented generation (RAG), and optimization of agent system architecture.Test and validate new product features through agile prototyping methodologies.Create evaluation frameworks and automated processes to effectively monitor and assess Agent performance.Required Qualifications1-3 years of programming experience, with a Bachelor's degree or higher in Computer Science or a related discipline. Exceptional recent graduates are encouraged to apply.Demonstrated strong programming skills, exceptional design abilities, and adherence to high-quality coding standards.Proficient in front-end technologies for rapid prototyping and development of evaluation platforms.Sound knowledge of backend technologies, including databases, caching mechanisms, message queuing, and microservices architecture.Possess a strong sense of ownership over assigned responsibilities.Ability to thrive in dynamic and fast-paced environments.About Manus AIManus AI is at the forefront of artificial intelligence, creating general AI agents that not only conceptualize ideas but also execute them effectively. Manus excels in various realms of work and life, ensuring tasks are completed seamlessly while you focus on what matters most. We foster a collaborative and innovative atmosphere where engineering, research, and business experts converge to explore the vast potential of AI applications. If you are passionate about pioneering technologies and making a significant impact, we would love to connect with you!Contact us: recruiting@manus.im
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.
Why You Should Join Us: At SonarSource, we are a team of passionate and innovative professionals dedicated to empowering organizations to develop responsible, secure, and high-quality code efficiently and effectively. Our mission is to address the root causes of coding issues—specifically at the source code level—ensuring that our solutions provide real, long-term improvements. With a vibrant culture that spans across the globe, we have office hubs in the USA, Switzerland, the UK, Singapore, and Germany. We believe in fostering a work environment where team members are excited to contribute to a product they are proud of, collaborating with motivated peers. With strong ties to the open-source community, our primary goal is to offer solutions that promote Clean Code practices. Your Impact: In this role, you will be part of our research team focused on automating software evolution through comprehensive analysis, verification, and test generation. You will engage in pioneering projects that leverage AI and machine learning to enhance software engineering practices. This position presents a unique opportunity to conduct innovative research, create advanced algorithms, and contribute to developing software tools that improve system performance, reliability, and adaptability.
About AirwallexAirwallex stands out as the premier unified payments and financial platform tailored for global enterprises. Through our innovative blend of proprietary infrastructure and cutting-edge software, we enable over 200,000 businesses worldwide—including industry leaders like Brex, Rippling, Navan, Qantas, and SHEIN—to seamlessly manage their business accounts, payment processing, spend management, treasury services, and embedded finance solutions on a global scale.Founded in Melbourne, our dynamic team of over 2,000 talented professionals spans across 26 global offices. With a valuation of US$8 billion and support from top-tier investors such as T. Rowe Price, Visa, Mastercard, Robinhood Ventures, Sequoia, Salesforce Ventures, DST Global, and Lone Pine Capital, Airwallex is at the forefront of creating the future of global financial services. If you aspire to engage in the most ambitious work of your career, we welcome you to join us.Our Core ValuesWe seek trailblazers with a founder-like spirit who are eager to make a significant impact, accelerate their learning, and take ownership of their projects. You should possess strong technical expertise and critical thinking skills, driven by our mission and operating principles. You act swiftly with sound judgment, explore deeply with curiosity, and make decisions grounded in first principles, balancing speed with thoroughness.Collaboration and humility are key; you will transform innovative concepts into tangible products and demonstrate your ability to execute projects from beginning to end. Leveraging AI, you will work smarter and resolve challenges more efficiently. Here, you will face complex, high-stakes problems alongside exceptional colleagues while advancing your career as we shape the future of global banking. If this resonates with you, let’s create what’s next together.Team OverviewAs a senior engineer on our newly established Generative AI team, you will oversee the comprehensive development of AI-powered solutions that revolutionize our support and automation services for both internal teams and external clients. You will design the foundational architecture and APIs for advanced systems, crafting state-of-the-art AI solutions that allow Airwallex to expand. Your input will have a direct impact on innovation, establish best practices, and lay the groundwork for our growing AI offerings.Your RoleIf you are passionate about creating AI solutions that have a real-world impact on customers, relish solving complex technical issues, and adopt a product-centric approach, we encourage you to help us define the future of Finance and AI.
