Forward Deployed Engineer (Japanese speaker)
Software Development
WFA Digital Insight
As demand for conversational AI solutions grows, companies like Zoom are seeking skilled engineers to lead deployments. With the remote work market expanding, professionals with expertise in LLMs and agentic frameworks are in high demand. Zoom's commitment to innovation and customer satisfaction makes this role stand out. Before applying, candidates should be aware of the need for native-level Japanese proficiency and experience with modern agentic frameworks.
Job Description
About the Role
The Forward Deployed Engineer position at Zoom is a unique opportunity to work on cutting-edge conversational AI solutions. As a key member of the Zoom Virtual Agent team, you will lead the deployment of next-generation Zoom Virtual Agents, leveraging Large Language Models (LLMs) and agentic frameworks to build highly automated conversational voice and chat agents for strategic customers. Your day-to-day responsibilities will include collaborating with cross-functional teams to design and deploy multi-step conversational workflows, fine-tuning LLMs for optimal performance, and developing custom full-stack Python/JS solutions to integrate with customer back-end systems.The Zoom Virtual Agent team is dedicated to building state-of-the-art conversational AI solutions that resolve customer issues quickly and efficiently. As a Forward Deployed Engineer, you will play a critical role in developing metrics, intelligence, and evaluation systems that drive continuous improvement using advanced LLMs and data science.
What You Will Do
- Lead multi-step conversational workflow design using agentic frameworks to enable LLM agents to execute complex multi-tool tasks
- Fine-tune the underlying Large Language Models (LLMs) to ensure optimal performance, low latency, and minimal hallucination in real-time voice conversations
- Develop and deploy custom full-stack Python/JS to connect the agent's decision-making with customer back-end systems (CRM, ERP, knowledge bases) as external "tools"
- Craft and iterate advanced LLM prompts (e.g., chain-of-thought, few-shot) to guide conversation, maintain context, and ensure accurate tool use in live voice interactions
- Prompt-engineer TTS components (e.g., ElevenLabs, Azure, Cartesia) to fine-tune tone, pacing, emphasis, and prosody to context and brand
- Conduct A/B testing and performance monitoring on TTS output, ensuring high acoustic quality, latency requirements, and emotional appropriateness
- Act as the embedded technical expert, working directly with customer engineering and executive teams to map complex business goals to agentic solutions
- Manage end-to-end production deployments with continuous optimization and performance tuning driven by real-world voice traffic data
- Translate field challenges, LLM failure modes, and TTS needs into actionable input for Core Engineering and Product to drive platform innovation
What We Are Looking For
- 3+ years in a technical, customer-facing role (FDE, Solutions Architect, Technical Lead) focused on AI/ML or highly technical SaaS products
- Native-level proficiency in Japanese (written and verbal) and fluent in English
- Proven hands-on experience designing and deploying LLM solutions using modern agentic frameworks (e.g., LangChain, LlamaIndex, internal tools)
- Deep expertise in voice stacks and TTS integration, using prompt engineering to control prosody, tone, and pacing
- Proven ability to write and manage iterative prompts guiding both generative text logic and speech synthesis quality (prosody and emotion)
- Solid software development skills in Python for prototyping, API integration, and production deployment, coupled with familiarity with modern DevOps practices
- Exceptional ability to distill complex AI and engineering concepts into clear, actionable insights for both technical teams and C-level executives
Nice to Have
- Experience with cloud-based platforms (AWS, Azure, Google Cloud)
- Familiarity with containerization (Docker) and orchestration (Kubernetes)
- Knowledge of agile development methodologies and version control systems (Git)
Benefits and Perks
- Competitive salary and benefits package
- Opportunity to work with a cutting-edge conversational AI platform
- Collaborative and dynamic work environment
- Flexible working hours and remote work options
- Professional development and growth opportunities
- Access to the latest technologies and tools
- Recognition and rewards for outstanding performance
How to Stand Out
- Ensure you have a strong understanding of LLMs and agentic frameworks before applying
- Showcase your experience with conversational AI solutions and TTS integration in your portfolio
- Prepare to discuss your approach to prompt engineering and speech synthesis quality
- Highlight your ability to work with cross-functional teams and communicate complex technical concepts to non-technical stakeholders
- Be prepared to discuss your experience with cloud-based platforms and containerization
- Research Zoom's company culture and values to understand their approach to innovation and customer satisfaction
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