Position Overview

MangoBoost builds full stack AI infrastructure, including LLMBoost, our platform for large scale LLM inference and optimization. We are looking for a Forward Deployed Engineer to be the technical partner our customers rely on, embedding with their teams to get them onto our platform, integrated, optimized, and expanding. You will sit at the intersection of engineering, product, and go to market, translating customer needs into working deployments and customer reality back into our roadmap.

Responsibilities & Opportunities

Partner with customers on technical discovery and proofs of concept, mapping their workloads to the right deployment on our platform
Scope and stand up customer deployments, covering model selection, throughput and latency targets, GPU sizing, and cost
Build demos, reference integrations, and benchmark comparisons that show our price and performance
Lead enterprise technical onboarding, then hand off cleanly to Customer Support and Customer Success
Support RFPs and security questionnaires with the right technical depth
Act as the direct line from the field to Product, turning what you learn on site into features and priorities

Required Qualifications

3+ years in a customer facing engineering role such as forward deployed, solutions, or field engineering for cloud, ML infrastructure, or a developer platform
Hands on experience with LLM inference, including serving frameworks, throughput and latency tuning, and GPU sizing
Able to write integration code in Python and explain cost and performance trade offs to both engineers and executives
Strong communication and customer presence
Bachelor's degree in a technical field or equivalent experience

Preferred Qualifications

You have worked hands on with GPU servers and inference serving stacks
You have helped sell or deploy a consumption based infrastructure product
You can go deep on inference serving APIs, vLLM or SGLang, or LLMBoost class serving
Comfortable working across Korean and English with domestic and global customers

About us

MangoBoost, Inc.

Agentic AI is fundamentally reshaping the paradigm of AI infrastructure. As environments emerge where countless AI agents operate simultaneously, conventional data center architectures are reaching their limits in both performance and efficiency. In response to this shift, MangoBoost is pioneering a new approach with its full-stack AI infrastructure solution designed to innovate every layer of the AI data center.

From LLMBoost, our AI inference optimization software, to GPU and storage systems powered by our proprietary DPU architecture, and orchestration software that seamlessly integrates and manages the entire stack, MangoBoost designs and develops every layer of AI infrastructure in-house. Rather than building isolated products, we focus on eliminating system-wide bottlenecks and fundamentally addressing inefficiencies across the entire infrastructure stack.

MangoBoost’s technology minimizes data movement and coordination overhead while maximizing overall system resource utilization, enabling exceptional performance and optimized total cost of ownership (TCO) for customers. Today, our solutions are already being deployed within real-world AI infrastructure environments through global partners, validating the strength of our technology. Through these efforts, MangoBoost is establishing a new global standard for AI data centers.

Notice Regarding Return of Hiring Documents

This notice is in accordance with Article 11, Section 6 of the Fair Hiring Procedure Act, which allows job applicants, excluding the final successful candidate, to request the return of any recruitment documents they have submitted.
Job applicants who were not selected as the final candidates in the recruitment process are entitled to request the return of the recruitment documents they submitted within 180 days of the date the employment decision is confirmed. However, this does not apply to documents submitted via the website or email, or documents voluntarily submitted by the applicant without the company’s request. If the recruitment documents are lost due to natural disasters or other reasons for which the company is not responsible, it will be considered as having been returned.
Applicants wishing to request the return of their recruitment documents should fill out the Request for Return of Hiring Documents [Form 3 of the Enforcement Rules of the Fair Hiring Procedure Act] and submit it by email (recruiting@mangoboost.io). The documents will be sent by registered mail to the designated address within 14 days from the confirmation of submission. Please note that the cost of registered mail will be borne by the recipient.
The company will keep the recruitment documents for 180 days following the confirmation of the employment decision. If no request for the return of documents is made within that period, the company will dispose of all recruitment documents without delay in accordance with the Personal Information Protection Act.