Model & Prompt Engineering: Design, test, and iterate prompts that improve reasoning, factuality, and user experience.
Agentic AI Frameworks: Build, manage and orchestrate agentic workflows involving tool calling, reasoning loops, memory management, skills orchestration, and multi-step task execution.
AI Safety & Reliability: Implement guardrails, monitoring, and validation mechanisms to ensure AI systems remain safe, reliable, and ethically grounded
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Articulates and demonstrates the value of SOLIDWORKS Simulation to customers, showing how it strengthens their design validation process
Advocates how SOLIDWORKS Simulation can be a game-changer for customers in the strongly growing ASEAN/AP South market
Executes customer-centric activities such as account reviews, business impact assessments, and PoC projects, with a focus on uncovering expansion opportunities
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Design, develop, and deploy scalable AI applications leveraging Machine Learning, Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI frameworks.
Lead the end-to-end lifecycle of AI projects, including requirement analysis, solution architecture, development, testing, deployment, and ongoing optimization.
Build intelligent AI assistants, AI agents, domain-specific copilots, chatbots, and workflow automation solutions that deliver measurable business value.
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Bachelor’s degree in Computer Science, Information Systems Management or in similar fields, Master/PhD is a bonus.
5+ years professional experience as a Software Engineer, SysOps Engineer, Software Engineer, API Engineer, or similar role with proven experience in software development and operation roles in a cloud environment.
Proven experience in following technologies is a must: microservices architecture, AWS and public cloud, REST APIs design, Pub/sub and event-drive architecture, CICD, infrastructure-as-code, AI in SDLC.
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