Own the end-to-end build of an AI model service platform, starting from zero, engineered to grow into a system that can reliably serve user bases in the hundreds of thousands to millions.
Architect and continuously scale a unified layer of model API interfaces, overseeing how requests are routed across models, how load gets balanced, and how the service expands over time — all while keeping AI-driven services running reliably for connected hardware.
Deep working knowledge of today's leading AI models and their APIs
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Design, develop, and implement advanced SRE tooling and automation solutions using Python/Java to improve system reliability, operational efficiency, and developer productivity across the infrastructure lifecycle.
Drive the adoption and enhancement of CI/CD pipelines, leveraging expertise in DevOps practices and tools to enable rapid, secure, and reliable software delivery and infrastructure provisioning.
Proactively monitor, troubleshoot, and optimize system performance and reliability, identifying and resolving complex incidents, and implementing preventative measures through automation and root cause analysis.
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Lead the technical architecture and end-to-end development of AI Agentic products for a core enterprise platform, partnering closely with the Product Manager to shape product direction from a technical feasibility standpoint.
Architect and build scalable agent frameworks (multi-step reasoning, tool/function calling, memory, orchestration across multiple LLMs and services) that power our product's copilot and automation features.
Own the full lifecycle of AI features — technical design, model selection/fine-tuning, evaluation, production deployment, and monitoring — ensuring reliability, latency, and cost efficiency at scale.
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Collaborate with business users, data analysts, and relevant stakeholders to gather and document requirements for analytics use cases.
Translate business needs into clear technical specifications and design suitable data architecture solutions that align with the organisation’s overall data strategy and governance frameworks.
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Build performant, accessible, and user-friendly interfaces using ReactJS and TypeScript, while developing scalable backend services using Node.js/TypeScript.
Collaborate with cross-functional teams to deliver seamless end-to-end solutions across front-end and back-end layers.
Develop and maintain reusable UI components and design systems (e.g., Storybook), alongside modular backend services and APIs.
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Responsible for leading equipment introduction, qualification, and continuous improvement initiatives within semiconductor backend test operations. This role drives equipment reliability, process quality, and operational excellence through effective project management, quality improvement activities, validation processes, and cross-functional collaboration to support manufacturing and customer requirements.
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About the company: We are in the tech industry, specializing in cutting-edge AI solutions and advanced platform development. With a mission to empower businesses through intelligent automation and data-driven insights, we foster a collaborative and forward-thinking environment where creativity and technical excellence thrive.Job responsibilities:- Own the end-to-end build of an AI model service platform, starting from zero, engineered to grow into a system that can reliably serve user bases in the hundreds of thousands to millions.- Architect and continuously scale a unified layer of model API interfaces, overseeing how requests are routed across models, how load gets balanced, and how the service expands over time — all while keeping AI-driven services running reliably for connected hardware.- Deep working knowledge of today's leading AI models and their APIs- Solid backend development skills, with experience in cloud deployment, microservices, and inference frameworks, and the ability to iteratively scale and improve systems in production.- Business-savvy and outcome-driven, comfortable partnering across Agent teams, hardware teams, and other functions to keep the platform's direction tied to broader company goals. Requirements:- Bachelor's degree in Computer Science, Software Engineering, or a related field- Strong backend development experience (Java, Go, Python, or similar)- Hands-on experience with cloud platforms (AWS, Azure, GCP, or Alibaba Cloud)- Experience with microservices architecture and API design- Familiarity with AI/LLM APIs (OpenAI, Anthropic, Qwen, etc.) and inference frameworks (e.g., vLLM, Triton, TGI)- Experience building systems that scale to high user volumes - Understanding of load balancing, service routing, and distributed systems- Good communication skills; able to work with cross-functional teams (Agent, hardware, product)
Next-Generation Infotainment System project for German premium carmaker at Luxoft Automotive Division. There is a wide range of applications provides by domains for the Head Unit, such as Tuner, Player, etc. The project life-circle is covering all the stages from design to development and delivery to the client. The project team works in tight collaboration with one of the premium OEMs in the world and is located in Southeast Asia region. You will have the opportunity to be part of the team that is developing functionality for the most technologically advanced cars in the world.
· Bachelor's degree or higher in Computer Science, Software Engineering, or a related technical discipline.
· Should have a minimum of 6-8 years of experience as a Java Developer, including significant hands-on experience in enterprise application development.
· Solid experience as a Java Developer with strong object-oriented programming fundamentals.
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Responsible for E2E service design and implementation of key platform projects for CPaaS and IOT, working with key stakeholders to align the architecture, system interfaces and specifications for implementation and support.
Manage the integration of 3rd part applications by working directly with the applications providers to ensure the integration interfaces, specifications and requirements are aligned externally and internally within relevant stakeholder groups and supporting systems.
Establish the process and support for Day 1 provisioning as well as Day 2 support flows, resourcing and SLA management metrics.
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Analyze and understand end-to-end business processes across functional areas to identify opportunities for process improvement, optimization, and automation.
Engage with business stakeholders to gather requirements, map current processes, and assess automation feasibility.
Identify repetitive, manual, and high-volume tasks that can be automated using appropriate technologies and tools such as Microsoft Excel Macros/VBA, Python, Microsoft Copilot, Power Platform, and other relevant automation solutions.
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Develop and enhance the cash management & reporting applications to meet evolving business requirements.
Provide ongoing maintenance and support for the existing cash management & reporting applications, ensuring its stability and performance.
Lead the solution design, estimation, and strategy for the implementation of new features, upgrades, obsolescence, or migration of existing applications.
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Design, develop, enhance, and support enterprise applications using Java/J2EE technologies.
Participate in the full Software Development Life Cycle (SDLC), including business requirement analysis (BRD), functional specifications (FSD), technical design, development, testing (Unit, SIT, UAT), deployment, go-live planning, and production support.
Design and support FIX Protocol interfaces for order routing, execution, and trade processing.
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