- Collaborative Environment: Work alongside talented engineers, designers, and product managers in a supportive and inclusive team that values open communication and shared success.
- Growth Opportunities: We invest in your professional development through mentorship, training, and access to conferences and certifications.
- Modern Tech Stack: Work with cutting-edge technologies and tools in cloud-native environments, microservices, and modern frontend frameworks.
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Collaborate with software engineers, business analysts, technical specialists, and project stakeholders throughout the SDLC using Agile or Waterfall methodologies.
Analyze and resolve complex technical issues by designing robust, scalable, and maintainable solutions for enterprise applications.
Stay current with emerging technologies, frameworks, and software engineering best practices, and apply them where appropriate.
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Troubleshoot, debug, optimise, and enhance application performance, reliability, and scalability.
Manage assigned development tasks and deliver project milestones within agreed timelines.
Collaborate closely with Software Engineers, Business Analysts, Technical Specialists, and project stakeholders throughout the Software Development Life Cycle (SDLC).
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Collaborate with software engineers, business analysts, technical specialists, and project stakeholders throughout the SDLC using Agile or Waterfall methodologies.
Analyze and resolve complex technical issues by designing robust, scalable, and maintainable solutions for enterprise applications.
Stay current with emerging technologies, frameworks, and software engineering best practices, and apply them where appropriate.
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You will work across the entire stack — from frontend experiences and APIs to distributed systems, data infrastructure, LLM orchestration, agentic workflows, evaluation systems, and autonomous optimization loops.
The ideal candidate has deep hands-on experience with Claude/Anthropic models, agentic architectures, tool-use, multi-step reasoning, autonomous execution loops, and AI-driven self-optimization.
You should be comfortable asking: "How can we make the system improve itself rather than requiring an engineer to manually optimize every workflow?"
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You will work across the entire stack — from frontend experiences and APIs to distributed systems, data infrastructure, LLM orchestration, agentic workflows, evaluation systems, and autonomous optimization loops.
The ideal candidate has deep hands-on experience with Claude/Anthropic models, agentic architectures, tool-use, multi-step reasoning, autonomous execution loops, and AI-driven self-optimization.
You should be comfortable asking: "How can we make the system improve itself rather than requiring an engineer to manually optimize every workflow?"
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Full Stack EngineeringFrontend: React, Next.js, TypeScript, modern component architectures, state management, real-time and streaming AI interfaces, agent activity and execution interfaces, data visualization.Backend: Node.js, TypeScript, Python, REST APIs, GraphQL, WebSockets and streaming, event-driven architectures, background workers, job queues, distributed systems, authentication and authorization.
Distributed SystemsDesign systems that reliably execute thousands or millions of AI and data-processing tasks. Kubernetes, Docker, Cloud Run and serverless, message queues, Redis, Kafka or equivalent, distributed job processing, concurrency management, rate limiting, retries, idempotency, fault tolerance, observability. You know how to build systems that stay reliable when agents fail, APIs time out, models hallucinate, or downstream services go away.
Data & Learning InfrastructureBuild the infrastructure agents need to learn from historical executions. PostgreSQL, BigQuery or equivalent data warehouses, ClickHouse or analytical databases, vector databases, embeddings, retrieval systems, event logs, feature stores, analytics pipelines, data ingestion.
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Catching up with and responding to changes in the external environment that are updated annually (e.g., responding to new versions of iOS/Android OS and policy changes).
Development that focuses on the perspectives of both developers and end users.
HTML/CSS coding for entertainment content (primarily consumer games) and websites
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Backend and APIs: Strong knowledge of API design, database schema design, transactional integrity, and integration with third-party services (OAuth, signing, webhooks).
Databases: Solid PostgreSQL experience - migrations, indexing, roles and privileges; comfortable reasoning about data integrity enforced at the database layer.
Tools and Collaboration: Git with Conventional Commits, pre-commit hooks, CI/CD pipelines, containerized development environments; familiarity with LLM-based coding assistants.
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We believe in integrity, trust, and transparency as part of our flexible work culture, with a strong emphasis on teamwork and the learning process, making mistakes, and achieving continuous progress together in all products we create and develop within the Mercedes-Benz Group.
Our workplace is anywhere* with a fast connection whether remotely at home, at your favorite café, or at our integrated office at Wisma Mercedes-Benz, which comes with an LRT station at its doorstep, an al fresco cafeteria, ample greenspaces, and free parking.