Forward Deployed Engineer, Agentic Platform (Korea)
Korea · Full-time · Remote · Posted Oct 13, 2026
At a glance
- Employment
- Full-time
- Workplace
- Remote
- Location
- Korea
About the role
- This role offers a unique opportunity to shape how enterprises harness the power of AI in real-world applications.
- As a bridge between the core North product and client engineering teams, you will solve complex problems and securely integrate AI into critical sectors such as finance, healthcare, and telecommunications.
Responsibilities
- Work closely with enterprise customers to translate high-value, ambiguous business problems into well-framed agentic problems with clear success criteria and evaluation methodologies.
- Provide technical leadership across the full development and evaluation lifecycle, including post-deployment iteration, for agentic workflows.
- Travel up to 20–40% to work on-site with customers and partners.
- Lead the design, build, and delivery of LLM-powered agents that reason, plan, and act across tools and data sources with enterprise-grade reliability and performance.
- Balance rapid iteration with enterprise requirements, evolving prototypes into stable, reusable solutions.
- Define and apply evaluation and quality standards to measure success, failures, and regressions; debug real-world agent behavior and systematically improve prompts, workflows, tools, and guardrails.
- Build and ship features for North, the AI workspace platform, working across the full product lifecycle from conceptualisation through production.
- Take ownership of scoping and shaping use cases end-to-end, flexing into whatever technical area the problem demands to drive the most effective solution.
- Mentor engineers across distributed teams.
- Drive clarity in ambiguous situations, build alignment, and raise engineering quality across the organization.
Requirements
- Demonstrated ability to build, ship, and operate production-grade software systems.
- Substantial hands-on experience designing, building, evaluating, and fine-tuning LLM-based agents in real-world applications.
- Deep familiarity with modern LLM ecosystems, including models (e.g., GPT, Claude, Gemini), vector databases, RAG architectures, agent/orchestration frameworks, prompt engineering, tool use, multi-step agent workflows (e.g., ReAct), and robust failure handling.
- Strong proficiency in Python and/or JavaScript/TypeScript.
- Experience working directly with customers or stakeholders to design and deliver LLM-powered agentic solutions aligned with real business needs.
- Proven technical leadership at the team level, including guiding architecture, implementation, and delivery of complex AI systems.
- Strong written and verbal communication skills.
- Fluency in English and Korean language.
Preferred qualifications
- Experience setting architectural standards for AI and agentic systems across distributed teams.
- Experience flexing into unfamiliar technical areas, such as frontend, when the problem calls for it.
- Exposure to regulated or sensitive industry environments (finance, healthcare, telecoms).
- Experience with enterprise security, compliance, or auditability requirements for AI systems.
Benefits
- A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.
- Full health and dental benefits, including a separate budget for mental health.
- RRSP matching, 401K, Pension Scheme.
- 100% Parental Leave top-up for up to 6 months, for either parent.
- Annual enrichment benefits including arts & culture, fitness/wellness, quality time, and a workspace improvement credit.
- Education & learning stipend for conferences, courses, and coaching.
- 6 weeks of paid vacation (30 working days)
- Budget for traveling to other offices if you are remote, plus an annual company offsite.
- Co-working benefit for those not near an office
- $500 home office stipend
Workplace
- Travel up to 20–40% to work on-site with customers and partners.
Skills
- Python
- JavaScript
- TypeScript
- GPT
- Claude
- Gemini
- RAG
- ReAct