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Forward Deployed Engineer - AI Engineer

Join Reflection AI as a Forward Deployed Engineer to drive AI solutions for enterprise customers in a hands-on role.

Location
Seoul
Compensation
Not disclosed
Level
mid
Type
full time · Hybrid

Posted by employer 3 months ago

First seen on Joblaze 1 week ago

Last verified on the company career page 1 day ago

Apply at Reflection AI → Save job Scanned from reflection.ai

Skills & Technologies

AI in the day-to-day

We build open models that let anyone control their intelligence and help shape the future of AI.

Requirements

Experience
3+ years
Visa
Sponsorship available

Not disclosed in this posting: compensation.

Benefits

Team Building Activities Unlimited PTO Equity/Stock Options Health Insurance Parental Leave

Joblaze summary

In this role, the Forward Deployed Engineer at Reflection AI will engage directly with enterprise clients to translate advanced AI research into practical applications, overseeing the entire process from initial discovery to production launch. The position requires a strong foundation in software engineering, particularly with Python and Typescript, along with experience in deploying enterprise solutions using modern DevOps practices. Ideal candidates will have at least three years of experience in customer-facing roles, demonstrating a knack for understanding user needs and delivering effective solutions. Reflection AI offers a dynamic startup environment where team members can significantl

Joblaze insights

Quick facts

Is the Forward Deployed Engineer - AI Engineer role remote?
It's hybrid — Reflection AI expects some on-site time in Seoul.
How much experience is required?
At least 3 years of relevant experience for this Forward Deployed Engineer - AI Engineer role.
Where is the role based?
Reflection AI is hiring for this position in Seoul.
What's the tech stack?
Joblaze extracted these technologies from the posting: CI/CD, Docker, Kubernetes, Python, TypeScript.
Does Reflection AI sponsor work visas for this role?
Yes — the posting indicates visa sponsorship is available for the right candidate.
What seniority level is this role?
Reflection AI targets mid-level candidates for this position.
Is this full-time or contract?
Full-time for this Forward Deployed Engineer - AI Engineer role at Reflection AI.

From the original posting

Our Mission

Reflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all.

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 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.

What We Offer:

We believe that to make intelligence open and accessible to all, you need to start at the foundation. Joining Reflection means building from the ground up as part of a talent-dense team. You will help define our future as a company, and help define the future of open foundational models.

We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.

  • 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.

Export Control Notice: This position may require access to technology or source code subject to the U.S. Export Administration Regulations. Any offer of employment for this role may be conditioned on the Company's ability to provide the candidate with access to such technology or source code in compliance with applicable U.S. export control laws, which may require the Company to seek government authorization.

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