Salary up to $11k + AWS, with comprehensive employee's benefits
Design scalable, secure, and resilient architectures for search and AI-powered web applications
Collaborate with Tech Leads to plan technical spikes and long-term technical strategy by leveraging LLM Integrations, Retrieval-Augmented Generation (RAG), Semantic Search, etc
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Work directly with the CEO, who has built and run multiple award-winning companies across several industries over 17 years. One decision maker, no committee. Your job includes challenging the brief where the brief is wrong, and you will get a straight answer either way, quickly.
Take internal tools that have proven themselves and turn them into something that can be leased to other businesses.
Build for a second user from the start: configuration, tenancy, onboarding and support paths, not a one-off script with your name on it.
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Model Deployment: Deploy state-of-the-art AI models and techniques on physical hardware; lead field deployment and evaluation efforts.
Systems Optimization: Account for common systems constraints—such as bandwidth, compute, and latency—when making modeling choices. Identify and implement optimization opportunities to improve performance on edge compute devices.
Diagnose and resolve complex technical issues related to the platform, robot hardware, and AI model performance in real-world scenarios.
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• Design, build, and maintain Go microservices with a focus on correctness and reliability.• Implement business logic and enterprise-quality standards across the platform.• Collaborate with Infra and SRE teams to ensure high availability and scalability requirements are met.• Contribute across all phases of the development lifecycle.• Write well-designed, testable, and efficient code.• Evaluate and propose improvements to existing systems.Required
• 5+ years of industry experience in software engineering.• Solid experience with Go on the backend (2+ years).• Good debugging, analytical, and problem-solving skills.• Understanding of core building blocks of web applications: databases, load balancers, application servers, message brokers, caching, monitoring, etc..• Experience working with distributed systems.• Familiarity with version control (Git) and CI/CD practices.Nice to Have
• Experience with Ruby on Rails.• Experience building B2B systems.• Experience in related fields (DevOps, ML, DBA, Enterprise applications, etc.).• Experience with third-party REST APIs at scale (request throttling, batch processing, etc.).• Contributions to open-source projects.Soft Skills / Personal Characteristics
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Design, develop and implement software solutions across frontend and backend systems, incorporating cloud application and data architecture principles.
Improve development and workflows through automation, reusable components, tooling, and standardised technical engineering practices.
Conduct comprehensive functional and performance testing using a range of techniques, agents and tools to ensure high-quality solution delivery.
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Integrate applications with AI and cloud services such as Azure OpenAI, Azure AI Foundry, Azure AI Search, Azure Machine Learning and other enterprise APIs and data sources.
Implement authentication and authorisation using enterprise identity services and standards such as Microsoft Entra ID, OAuth 2.0, OpenID Connect, JWT and RBAC.
Apply responsible AI engineering practices including retrieval grounding, prompt management, input/output controls, human-in-the-loop workflows, auditability and content safety.
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Build Retrieval-Augmented Generation (RAG) solutions that enable agents to access trusted enterprise knowledge.
Implement guardrails, workflow controls, human-in-the-loop checkpoints, logging, and monitoring for production readiness.
Collaborate with Solution Architects, AI Quality Engineers, and AgentOps teams to scale successful prototypes into enterprise-grade managed services solutions.
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This role requires working EMEA hours (3:00 pm – 12:00 am), with a shift allowance provided.
Database Development: Design and implement robust database structures, including tables, views,, indexes, packages, stored procedures and functions, using SQL and NoSQL technologies for (Oracle / MS-SQL / PostgreSQL) and their needed integration services.
Back-end Logic: Write, debug, and optimize complex stored procedures, functions, and triggers
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We’re Seeking Full-Stack Software Engineering to support our team in Singapore. This role offers the opportunity to work on meaningful projects, collaborate with talented colleagues, and contribute to the success of a growing company. If you’re someone who takes initiative, values continuous learning, and thrives in a collaborative setting.
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