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Forward Deployed Engineer - AI Engineer

Reflection· Commercial
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SeoulFull-timePosted 4mo ago

About the role

Reflection is a research lab building open models and enabling enterprise adoption. This role drives Forward Deployed Engineering efforts with enterprise customers, owning the technical strategy and delivery of agentic systems from discovery to production launch.

Responsibilities

  • 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.

Qualifications

  • 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 experience delivering AI-driven enterprise solutions (e.g., Forward Deployed Engineer, Software Engineer, or Applied AI Engineer)
  • Demonstrated ability and interest to work in customer-facing environments, understanding user needs, architecting solutions for real business problems, and delivering tangible outcomes
  • Self-starter with high agency and ownership, excelling in fast-paced startup environments where playbooks are still being written

Skills

Required:Software engineeringDevOpsMachine learning concepts

Benefits

  • Top-tier compensation: Salary and equity structured to recognize and retain our talent globally.
  • Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options.
  • Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance.
  • Meals: Lunch and dinner are provided in the office daily.
  • Life & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys.
  • Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K.
  • Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.
  • Team building: We have regular off-sites, happy hours, and team celebrations.
Last updated Oct 1, 2026. Interested? Apply on the company site.

About Reflection

Building frontier open intelligence

Building frontier open intelligence.

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