Reflection

Technology

ForwardDeployedEngineer-AIEngineer

$75000–110000k ~AI est. Seoul, South Korea FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Forward Deployed Engineer - AI Engineer at Reflection”

Industry & Context.

Technology
Full Job Description

OUR MISSION Reflection’s mission is to build open superintelligence and make it accessible to all. We’re developing open weight models for individuals, agents, enterprises, and even nation states. Our team of AI researchers and company builders come from DeepMind, OpenAI, Google Brain, Meta, Character.AI, Anthropic and beyond. ROLE OVERVIEW We’re looking for a core member of Reflection’s Applied AI team to drive our Forward Deployed Engineering efforts with enterprise customers. This team works hands-on to translate advanced AI research into high-impact, real-world applications. As a Forward Deployed Engineer, you will own the technical strategy and delivery of agentic systems from initial customer discovery through production launch. WHAT YOU'LL DO - Partner with Deployment Strategists and Sales to understand enterprise customer needs, architect solutions, and develop transformative agentic applications. - Build agentic systems using state-of-the-art models, orchestrating LLM workflows, integrating with enterprise infrastructure, and deploying reliable production systems. - Collaborate with research teams to adapt and fine-tune models for customer-specific needs. - Support end-to-end deployments across hybrid environments (public cloud, VPC, and on-premises), helping ensure scalability, performance, and reliability in production. - Contribute to evolving playbooks, processes, and best practices as part of a growing Forward Deployed Engineering organization. WHAT WE'RE LOOKING FOR - Strong software engineering background with experience shipping production-grade systems (Python, Typescript) - Proven track record of deploying enterprise software in cloud or hybrid environments using modern DevOps practices (Docker, Kubernetes, and CI/CD). - Deep understanding of machine learning concepts and hands-on experience with modern AI stacks, including vector databases, RAG pipelines, agent orchestration, evaluations, and fine-tuning. - 3+ years of software engineering experi

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