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We’re a fast-growing startup building production-grade AI agents for enterprise customers at scale. We’re looking for Applied AI Engineers who can own the design, build, and deployment of agentic workflows powered by Large Language Models (LLMs)—from early prototypes to production-grade AI agents, to deliver concrete business value in enterprise workflows. In this role, you’ll work closely with customers on real-world business problems, often building first-of-their-kind agent workflows that integrate LLMs with tools, APIs, and data sources. While our pace is startup-fast, the bar is enterprise-high: agents must be reliable, observable, safe, and auditable from day one. You’ll collaborate closely with customers, product, and platform teams, and help shape how agentic systems are built, evaluated, and deployed at scale.
Job Responsibility:
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
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
Mentor engineers across distributed teams
Drive clarity in ambiguous situations, build alignment, and raise engineering quality across the organization
Contribute to shared frameworks and patterns that enable consistent delivery across customers
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
Ability and interest to travel up to 25%, flexible
What we offer:
An open and inclusive culture and work environment
Work closely with a team on the cutting edge of AI research
Weekly lunch stipend, in-office lunches & snacks
Full health and dental benefits, including a separate budget to take care of your mental health
100% Parental Leave top-up for up to 6 months
Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement
Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend