Forward Deployed Engineer - Seoul

OpenaiOpenai·Remote(Seoul, South Korea)
Software Development
GTMAdjust

WFA Digital Insight

As demand for AI deployment specialists surges, Openai's Forward Deployed Engineer role stands out in the remote job market. With the global AI market projected to grow exponentially, professionals with GTM and Adjust experience are in high demand. Openai's commitment to safely deploying AI systems offers a unique opportunity for engineers to make a significant impact. Before applying, candidates should understand the complexities of AI model deployment and the importance of collaboration with customer teams. With over 80% of companies investing in AI, this role is a prime example of the industry's shift towards innovative technologies.

Job Description

About the Role

The Forward Deployed Engineer role at Openai is a unique opportunity to partner with customers and deploy cutting-edge AI models in production environments. As a Forward Deployed Engineer, you will be responsible for leading complex end-to-end deployments, working closely with customer engineering and domain teams. Your primary objective will be to ensure the successful adoption of AI models, measuring success through production adoption, workflow impact, and data-driven feedback.

The Forward Deployed Engineering team operates at the intersection of customer delivery and core platform development, making this role an exciting opportunity for engineers who thrive in fast-paced, ambiguous environments. You will have the chance to work with a talented team of engineers, product managers, and researchers to drive the development of AI-powered systems.

As a Forward Deployed Engineer at Openai, you will be based in Seoul, with a hybrid work model that includes 3 days in the office per week. You can expect to travel approximately 50% of the time, working closely with customers and stakeholders to drive the adoption of AI models.

What You Will Do

  • Own technical delivery across multiple deployments, from first prototype to stable production
  • Build full-stack systems that deliver customer value and sharpen how we learn
  • Embed closely with customer teams, understand their needs, and guide adoption of what you build
  • Scope work, sequence delivery, and remove blockers early
  • Make trade-offs between scope, speed, and quality; adjust plans to protect delivery
  • Contribute directly in the code when progress or clarity depends on it
  • Codify working patterns into tools, playbooks, or building blocks that others can use
  • Share field feedback that helps Research and Product understand where the models succeed and where they can improve
  • Keep teams moving through clarity and follow-through
  • Collaborate with cross-functional teams, including Product, Research, Partnerships, GRC, Security, and GTM
  • Develop and maintain technical documentation, ensuring that knowledge is shared across teams

What We Are Looking For

  • 5+ years of engineering or technical deployment experience, including customer-facing work
  • Experience with GTM and Adjust, or similar technologies
  • Strong understanding of AI model deployment and the ability to communicate complex technical concepts to non-technical stakeholders
  • Ability to simplify complexity and make fast, sound decisions under pressure
  • Excellent communication skills, with the ability to work effectively with engineers, product teams, and customer stakeholders
  • Experience with Python, JavaScript, or comparable stacks
  • Ability to write and review production-grade code across frontend and backend
  • Strong problem-solving skills, with the ability to spot risks early and adjust without slowing down

Nice to Have

  • Experience with LLMs or generative models, and understanding how model behavior affects product experience
  • Knowledge of cloud-based technologies, such as AWS or Google Cloud
  • Experience with containerization using Docker, or similar technologies
  • Familiarity with Agile development methodologies and version control systems, such as Git

Benefits and Perks

  • Competitive compensation package
  • Opportunity to work with a talented team of engineers, product managers, and researchers
  • Hybrid work model, with 3 days in the office per week
  • Relocation assistance for new employees
  • 50% travel opportunity, working closely with customers and stakeholders
  • Access to cutting-edge technologies and the opportunity to drive the development of AI-powered systems
  • Comprehensive health insurance, including medical, dental, and vision
  • Generous PTO policy, with ample time off to rest and recharge
  • Remote work stipend, to support your home office setup
  • Professional development opportunities, including training and education programs
  • Equity opportunities, allowing you to share in the company's success

How to Stand Out

  • Tip: Develop a strong understanding of AI model deployment and the ability to communicate complex technical concepts to non-technical stakeholders.
  • Tip: Highlight your experience with GTM and Adjust, or similar technologies, and be prepared to provide specific examples of how you have used these tools in previous roles.
  • Tip: Showcase your ability to simplify complexity and make fast, sound decisions under pressure, and be prepared to provide examples of times when you have had to do so.
  • Tip: Emphasize your excellent communication skills, and be prepared to provide examples of times when you have had to work effectively with engineers, product teams, and customer stakeholders.
  • Tip: Be prepared to discuss your experience with Python, JavaScript, or comparable stacks, and be able to write and review production-grade code across frontend and backend.
  • Tip: Research Openai's products and services, and be prepared to discuss how you can contribute to the company's mission and goals.
  • Tip: Prepare to discuss your experience with cloud-based technologies, containerization, and Agile development methodologies, and be able to provide examples of how you have used these technologies in previous roles.

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