Forward Deployed Engineer

Enhans Ai โ€” South Korea ยท Posted ~3 hours ago

Senior Full-time

Skills

Ontology modeling Workflow design AI agents Web application development Large-scale data processing Solution architecture Systems integration Customer problem definition Ontology Workflow systems Web applications

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Summary โœจ AIโ€‘Generated

Work as a Forward Deployed Engineer embedded closely with customers to uncover complex, poorly defined business problems and turn them into working AI-powered solutions. You will structure business knowledge and processes into ontologies, workflows, and agents; integrate existing systems and data; and lead solution design, development, deployment, and improvement end to end. The role suits an engineer who enjoys ambiguity, customer-facing problem solving, large-scale data, and web application development.

Highlights

Own the full lifecycle from discovering ambiguous customer problems through solution design, development, deployment, and continuous improvement. Work closely with customers, tackle complex data and systems challenges, and create measurable operational and decision-making improvements in a small, highly execution-oriented team.

Description

[ํšŒ์‚ฌ ์†Œ๊ฐœ] ์ธํ•ธ์Šค๋Š” ๊ธฐ์—… ๋ฐ์ดํ„ฐ๋ฅผ ์˜จํ†จ๋กœ์ง€(Ontology)๋กœ ๊ตฌ์กฐํ™”ํ•˜๊ณ , AI Agent๊ฐ€ ์‹ค์ œ ์—…๋ฌด๋ฅผ ์ˆ˜ํ–‰ํ•˜๋ฉฐ ์Šค์Šค๋กœ ๊ฐœ์„ ํ•˜๋Š” ์—”ํ„ฐํ”„๋ผ์ด์ฆˆ AI Agent ์šด์˜์ฒด์ œ โ€˜AgentOSโ€™๋ฅผ ๋งŒ๋“ค์–ด๊ฐ€๊ณ  ์žˆ์–ด์š”. ์šฐ๋ฆฌ๋Š” ์ˆ˜์ฒœ ๊ฐœ์˜ ๋™์‹œ ์„ธ์…˜์—์„œ AI Agent์˜ ์‚ฌ๊ณ ์™€ ์‹คํ–‰์„ ์ง€์—ฐ ์—†์ด ์ฒ˜๋ฆฌํ•˜๋Š” ์ŠคํŠธ๋ฆฌ๋ฐ ์•„ํ‚คํ…์ฒ˜๋ถ€ํ„ฐ, ๋ฐ์ดํ„ฐ ๋ ˆ์ดํฌ ์ˆ˜์ค€์˜ ๋ฉ€ํ‹ฐํ…Œ๋„ŒํŠธ ๊ฒฉ๋ฆฌ๊นŒ์ง€ ๋Œ€๋ถ€๋ถ„์˜ ๊ธฐ์—…์ด โ€˜์–ธ์  ๊ฐ€ ํ•ด๊ฒฐํ•ด์•ผ ํ•  ๊ณผ์ œโ€™๋กœ ๋‚จ๊ฒจ๋‘” ๊ธฐ์ˆ ์  ๋‚œ์ œ๋“ค์„ ํ•ด๊ฒฐํ•˜๋ฉฐ ์•„์‹œ์•„์˜ Decision Intelligence ๋ฆฌ๋”๋กœ ๋‚˜์•„๊ฐ€๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. ๋†’์€ ๊ธฐ์ค€์œผ๋กœ ๋น ๋ฅด๊ฒŒ ์‹คํ–‰ํ•˜๊ณ , ๊ณ ๊ฐ์˜ ๋ฌธ์ œ๋ฅผ ๊นŠ์ด ํŒŒ๊ณ ๋“œ๋Š” ๋™๋ฃŒ๋“ค๊ณผ ํ•จ๊ป˜ ์ธ๋ฅ˜์˜ ์ƒ๊ฐ์ด ์„ธ์ƒ์— ์‹คํ˜„๋˜๋„๋ก ๋•์Šต๋‹ˆ๋‹ค. [AI ๋„์ž…์˜ ์„ฑ๊ณต๊ณผ ์‹คํŒจ๋ฅผ ๊ฐ€๋ฅด๋Š” '์ง„์งœ' ์ฐจ์ด, Enhans FDE์—๊ฒŒ ๋ฌป๋‹ค] [ํŒ€๊ณผ ํฌ์ง€์…˜์„ ์†Œ๊ฐœํ•ด์š”] FDEํŒ€์€ ๊ณ ๊ฐ์˜ ํ˜„์žฅ์— ๊นŠ์ด ๋“ค์–ด๊ฐ€ ์•„์ง ๋ช…ํ™•ํ•˜๊ฒŒ ์ •์˜๋˜์ง€ ์•Š์€ ๋ฌธ์ œ๋ฅผ ๋ฐœ๊ฒฌํ•˜๊ณ , AgentOS๋ฅผ ํ™œ์šฉํ•ด ์‹ค์ œ๋กœ ์ž‘๋™ํ•˜๋Š” ํ•ด๊ฒฐ์ฑ…์„ ๋งŒ๋“œ๋Š” ํŒ€์ด์—์š”. ๊ณ ๊ฐ๊ณผ ํ•จ๊ป˜ ๋ฌธ์ œ๋ฅผ ์ •์˜ํ•˜๊ณ , ์ด๋ฅผ Ontology์™€ Workflow, Agent๋กœ ๊ตฌ์กฐํ™”ํ•ด ํ˜„์žฅ์— ๋งž๋Š” ํ•ด๊ฒฐ์ฑ…์œผ๋กœ ๊ตฌํ˜„ํ•ฉ๋‹ˆ๋‹ค. ๊ณ ๊ฐ๊ณผ ๊ฐ€์žฅ ๊ฐ€๊นŒ์šด ๊ณณ์—์„œ ๋ฌธ์ œ ์ •์˜๋ถ€ํ„ฐ ์†”๋ฃจ์…˜ ์„ค๊ณ„์™€ ๊ฐœ๋ฐœ, ์ ์šฉ๊ณผ ๊ฐœ์„ ๊นŒ์ง€ End-to-End๋กœ ์ฃผ๋„ํ•˜๋ฉฐ ์‹ค์ œ ์—…๋ฌด์˜ ๋ณ€ํ™”๋ฅผ ๋งŒ๋“œ๋Š” Forward Deployed Engineer๋ฅผ ์ฐพ์Šต๋‹ˆ๋‹ค. FDE (3~7๋…„ / 7๋…„ ์ด์ƒ)FDE (์žฌ๋ฌด/SCM)FDE (๋Œ€์ „/๊ณ„์•ฝ์ง) [ํ•ฉ๋ฅ˜ํ•˜๋ฉด ํ•จ๊ป˜ํ•  ์—…๋ฌด์˜ˆ์š”] ๊ณ ๊ฐ์˜ ํ˜„์žฅ์— ๊นŠ์ด ๋“ค์–ด๊ฐ€ ๋ณต์žกํ•˜๊ณ  ๋ชจํ˜ธํ•œ ๋น„์ฆˆ๋‹ˆ์Šค ๋ฌธ์ œ๋ฅผ ๋ฐœ๊ฒฌํ•˜๊ณ  ์ •์˜ํ•ด์š”.AgentOS์˜ Ontology, Workflow์™€ Agent๋ฅผ ํ™œ์šฉํ•ด ๊ณ ๊ฐ ๋งž์ถคํ˜• ์†”๋ฃจ์…˜์„ ๊ตฌํ˜„ํ•ด์š”.๊ตฌ์ถ•ํ•œ ์†”๋ฃจ์…˜์ด ๊ณ ๊ฐ์˜ ์šด์˜๊ณผ ์˜์‚ฌ๊ฒฐ์ •์— ์‹ค์งˆ์ ์ธ ๋ณ€ํ™”๋ฅผ ๋งŒ๋“ค ์ˆ˜ ์žˆ๋„๋ก ๊ธฐ์ˆ ์  ๋ฐฉํ–ฅ๊ณผ ์‹คํ–‰์„ ์ฃผ๋„ํ•ด์š”๊ณ ๊ฐ์˜ ๊ธฐ์กด ์‹œ์Šคํ…œ๊ณผ ๋ฐ์ดํ„ฐ๋ฅผ ์—ฐ๊ฒฐํ•ด AI Agent๊ฐ€ ์‹ค์ œ ์—…๋ฌด๋ฅผ ์ˆ˜ํ–‰ํ•  ์ˆ˜ ์žˆ๋Š” ํ๋ฆ„์„ ์„ค๊ณ„ํ•ด์š”.์†Œ๊ทœ๋ชจ ํŒ€์œผ๋กœ ์›€์ง์ด๋ฉฐ ์†”๋ฃจ์…˜ ์„ค๊ณ„, ๋Œ€๊ทœ๋ชจ ๋ฐ์ดํ„ฐ ์ฒ˜๋ฆฌ์™€ ์›น ์• ํ”Œ๋ฆฌ์ผ€์ด์…˜ ๊ฐœ๋ฐœ์„ End-to-End๋กœ ์ˆ˜ํ–‰ํ•ด์š”.๊ณ ๊ฐ ๋ฐ ์—ฌ๋Ÿฌ ์ง๋ฌด์˜ ๋™๋ฃŒ์™€ ํ˜‘์—…ํ•˜๋ฉฐ ๋น ๋ฅด๊ฒŒ ํ”„๋กœํ† ํƒ€์ž…์„ ๋งŒ๋“ค๊ณ  ๋ฐ˜๋ณต์ ์œผ๋กœ ๊ฐœ์„ ํ•ด์š”. [์ด๋Ÿฐ ๋ถ„์„ ์ฐพ๊ณ  ์žˆ์–ด์š”] AI์— ๋Œ€ํ•œ ์ดํ•ด๋ฅผ ๋ฐ”ํƒ•์œผ๋กœ ์ œํ’ˆ์ด๋‚˜ ์„œ๋น„์Šค๋ฅผ ๊ฐœ๋ฐœ ๋˜๋Š” ๊ธฐํšํ•ด๋ณด์‹  ๋ถ„๋ฐ์ดํ„ฐ ๊ตฌ์กฐยท์Šคํ† ๋ฆฌ์ง€ยทํด๋ผ์šฐ๋“œยทํ”„๋ก ํŠธ์—”๋“œ ๋“ฑ ๋‹ค์–‘ํ•œ ๊ธฐ์ˆ ์„ ํ™œ์šฉํ•ด ๋ฌธ์ œ๋ฅผ ํ•ด๊ฒฐํ•  ์ˆ˜ ์žˆ๋Š” ๋ถ„๊ธฐ์ˆ ยท๋น„๊ธฐ์ˆ  ์ดํ•ด๊ด€๊ณ„์ž์™€ ์š”๊ตฌ์‚ฌํ•ญ์„ ์ •์˜ํ•˜๊ณ , ๋น ๋ฅด๊ฒŒ ํ”„๋กœํ† ํƒ€์ž…์„ ๋งŒ๋“ค์–ด ๊ฐœ์„ ํ•  ์ˆ˜ ์žˆ๋Š” ๋ถ„๊ณ ๊ฐ์‚ฌ์— ๊นŠ์ด ์ž„๋ฒ ๋”ฉ๋˜์–ด ๋ชจํ˜ธํ•œ ๋น„์ฆˆ๋‹ˆ์Šค ๋ฌธ์ œ๋ฅผ ์ •์˜๋ถ€ํ„ฐ ์†”๋ฃจ์…˜ ๊ตฌํ˜„๊นŒ์ง€ ์ฃผ๋„ํ•˜์‹ค ์ˆ˜ ์žˆ๋Š” ๋ถ„์‹ค์ œ ์ž„ํŒฉํŠธ(์šด์˜ ๊ฐœ์„ ยท์˜์‚ฌ๊ฒฐ์ • ํ–ฅ์ƒ ๋“ฑ)์— ๊ฐ•ํ•˜๊ฒŒ ๋™๊ธฐ๋ถ€์—ฌ๋˜๋Š” ๋ถ„ [์ด๋Ÿฐ ๊ฒฝํ—˜์ด ์žˆ๋‹ค๋ฉด ๋” ์ข‹์•„์š”] ๊ณ ๊ฐ์˜ ๋ฌธ์ œ๋ฅผ ์ง์ ‘ ๋“ฃ๊ณ  ์š”๊ตฌ์‚ฌํ•ญ ์ •์˜๋ถ€ํ„ฐ ์†”๋ฃจ์…˜ ์ ์šฉ๊นŒ์ง€ ํ•จ๊ป˜ํ•œ ๊ฒฝํ—˜์ œํ’ˆ์ด๋‚˜ ์„œ๋น„์Šค๋ฅผ ๊ธฐํšํ•˜๊ณ  ์ง์ ‘ ๊ฐœ๋ฐœํ•ด ์‚ฌ์šฉ์ž์—๊ฒŒ ์ œ๊ณตํ•œ ๊ฒฝํ—˜์ œํ•œ๋œ ์ •๋ณด์™€ ์ž์› ์•ˆ์—์„œ ๋ฌธ์ œ๋ฅผ ์ •์˜ํ•˜๊ณ  ์ œํ’ˆ์„ ๋งŒ๋“ค์–ด ๋ณธ ์ฐฝ์—… ๊ฒฝํ—˜ [์ด๋ ‡๊ฒŒ ๊ฒฝํ—˜์„ ๋„“ํ˜€๊ฐˆ ์ˆ˜ ์žˆ์–ด์š”] ๊ธฐ์ˆ ์„ ๋น„์ฆˆ๋‹ˆ์Šค ์ž„ํŒฉํŠธ๋กœ: ์—”์ง€๋‹ˆ์–ด๋ง ์ „๋ฌธ์„ฑ์„ ๊ณ ๊ฐ์˜ ์šด์˜ ๊ฐœ์„ ๊ณผ ์˜์‚ฌ๊ฒฐ์ • ํ–ฅ์ƒ์œผ๋กœ ์—ฐ๊ฒฐํ•˜๋Š” ๊ฒฝํ—˜์„ ํ•  ์ˆ˜ ์žˆ์–ด์š”.๊ฐœ๋ฐœ์ž์—์„œ ๋ฌธ์ œ ํ•ด๊ฒฐ์ž๋กœ: ์ •ํ•ด์ง„ ๊ธฐ๋Šฅ์„ ๊ตฌํ˜„ํ•˜๋Š” ๋ฐ ๊ทธ์น˜์ง€ ์•Š๊ณ , ๊ณ ๊ฐ์˜ ๋ฌธ์ œ๋ฅผ ๋ฐœ๊ฒฌํ•˜๊ณ  ํ•ด๊ฒฐ์ฑ…์„ ์„ค๊ณ„ํ•˜๋Š” ์—ญ๋Ÿ‰์„ ๋ฐœ์ „์‹œํ‚ฌ ์ˆ˜ ์žˆ์–ด์š”.๋ฌธ์ œ ์ •์˜๋ถ€ํ„ฐ ์‹ค์ œ ์ ์šฉ๊นŒ์ง€: ์†”๋ฃจ์…˜์ด ๊ณ ๊ฐ์˜ ์šด์˜๊ณผ ์˜์‚ฌ๊ฒฐ์ •์— ๋งŒ๋“œ๋Š” ๋ณ€ํ™”๊นŒ์ง€ ์ง์ ‘ ํ™•์ธํ•  ์ˆ˜ ์žˆ์–ด์š”. [ํ˜œํƒ ๋ฐ ๋ณต์ง€] 1. ์ „๋ฌธ์„ฑ๊ณผ ํ˜์‹ ์„ ์ถ”๊ตฌํ•˜๋Š” ํŒ€ ๋ฌธํ™” ํ˜์‹ ์  ํ˜‘์—… : ๊ณต๋™์˜ ๋ชฉํ‘œ๋ฅผ ํ–ฅํ•ด ๊ฐ์ž์˜ ์ „๋ฌธ์„ฑ์„ ํ™œ์šฉํ•˜์—ฌ ๋ฌธ์ œ๋ฅผ ํ•ด๊ฒฐํ•˜๊ณ , ์ง„์ • ๊ฐ€์น˜ ์žˆ๋Š” ๊ฒฐ๊ณผ๋ฅผ ์ฐฝ์ถœํ•ฉ๋‹ˆ๋‹ค.๋‹ค์–‘ํ•œ ๋ฐฐ๊ฒฝ์˜ ํ†ตํ•ฉ : ๋‹ค์–‘ํ•œ ํ•™๋ฌธ์  ๋ฐฐ๊ฒฝ์„ ์ง€๋‹Œ ํŒ€์›๋“ค์ด ์ง€์‹์„ ๊ณต์œ ํ•˜๋ฉฐ ์„œ๋กœ์˜ ์„ฑ์žฅ์„ ์ง€์›ํ•ฉ๋‹ˆ๋‹ค. 2. ์ง€์†์ ์ธ ์„ฑ์žฅ๊ณผ ๊ฐœ์ธ ๋ฐœ์ „ ์ง€์› ๊ต์œก ๋ฐ ๊ฐœ๋ฐœ : ์„ธ๋ฏธ๋‚˜, ์ปจํผ๋Ÿฐ์Šค, ์›Œํฌ์ƒต ์ฐธ์—ฌ๋ฅผ ์ง€์›ํ•˜์—ฌ ์ง์›๋“ค์˜ ์ „๋ฌธ์„ฑ ์ฆ์ง„์„ ๋•์Šต๋‹ˆ๋‹ค.๋ฌด์ œํ•œ ๋„์„œ ์ง€์› : ๊ด€๋ จ ์„œ์ ์— ๋Œ€ํ•œ ์ง€์›์œผ๋กœ ์ง€์†์ ์ธ ํ•™์Šต์„ ์žฅ๋ คํ•ฉ๋‹ˆ๋‹ค.์ตœ์‹  ์—…๋ฌด ํ™˜๊ฒฝ : ์ตœ์‹  ์‚ฌ์–‘์˜ ๋งฅ๋ถ๊ณผ ์•„์ด๋งฅ, ํ•„์š”ํ•œ ์—…๋ฌด์šฉ ์†Œํ”„ํŠธ์›จ์–ด ๋ฐ ๋„๊ตฌ๋ฅผ ์ œ๊ณตํ•ฉ๋‹ˆ๋‹ค.AI Tool Pass : Claude AI / Chat GPT / Gemini / Notion AI๋ฅผ ์ง€์›ํ•ฉ๋‹ˆ๋‹ค. 3. ์ง„ํ™”ํ•˜๋Š” ์ผํ•˜๋Š” ๋ฌธํ™” ํŽธ๋ฆฌํ•œ ์ถœํ‡ด๊ทผ : ๋‚จ๋ถ€ํ„ฐ๋ฏธ๋„์—ญ์—์„œ ์œ„์น˜ํ•œ ์‹œ์„ค์ด ์ข‹์€ ์‹ ์‚ฌ์˜ฅ ์‚ฌ๋ฌด์‹ค์—์„œ ๊ทผ๋ฌดํ•ฉ๋‹ˆ๋‹ค.์ž์œจ ์ถœํ‡ด๊ทผ์ œ ๋ฐ ์žฌํƒ๊ทผ๋ฌด ์‹œํ–‰ : ์—…๋ฌด ํšจ์œจ์„ฑ๊ณผ ๊ฐœ์ธ ์ƒํ™œ์˜ ๊ท ํ˜•์„ ์œ„ํ•ด ์ž์œจ ์ถœํ‡ด๊ทผ์ œ์™€ ์žฌํƒ๊ทผ๋ฌด๋ฅผ ์‹œํ–‰ํ•ฉ๋‹ˆ๋‹ค.์ง‘์ค‘์„ ์œ„ํ•œ ์ง€์› : ์ ์‹ฌ๊ณผ ํ•„์š” ์‹œ ์ €๋… ์ œ๊ณต, ์—์Šคํ”„๋ ˆ์†Œ ๋จธ์‹ ๊ณผ Tea, ๊ฐ„์‹ ๋ฌด์ œํ•œ ์ œ๊ณต์œผ๋กœ ์—…๋ฌด ์ง‘์ค‘์„ ๋„๋ชจํ•ฉ๋‹ˆ๋‹ค.์œ ์—ฐํ•œ ํœด๊ฐ€ ์ •์ฑ… : ์ž์œ ๋กญ๊ฒŒ ์‚ฌ์šฉ ๊ฐ€๋Šฅํ•œ ์—ฐ์ฐจ ๋ฐ ์ƒ์ผ ๋ฐ˜์ฐจ, 2์ฃผ๋งˆ๋‹ค ์ฃผ์–ด์ง€๋Š” ๋ฆฌํ”„๋ ˆ์‹œ ํœด๊ฐ€๋ฅผ ํ†ตํ•ด ์žฌ์ถฉ์ „ํ•ฉ๋‹ˆ๋‹ค.๊ฑด๊ฐ• ์ง€์› ํ”„๋กœ๊ทธ๋žจ : ์ •๊ธฐ์ ์ธ ๊ฑด๊ฐ• ๊ฒ€์ง„์„ ํ†ตํ•ด ์ง์›๋“ค์˜ ๊ฑด๊ฐ•์„ ์œ ์ง€ํ•˜๊ณ  ๊ด€๋ฆฌํ•ฉ๋‹ˆ๋‹ค. [๊ธฐ๊ฐ„ ๋ฐ ์ ˆ์ฐจ] ๋งˆ๊ฐ์ผ : ์ฑ„์šฉ ์‹œ ๋งˆ๊ฐ์ฑ„์šฉ ์ „ํ˜• : ์„œ๋ฅ˜ ์ „ํ˜• ใ€‰ 1์ฐจ ์ธํ„ฐ๋ทฐ ใ€‰ 2์ฐจ ์ธํ„ฐ๋ทฐ ใ€‰ ์ฒ˜์šฐ ํ˜‘์˜ ใ€‰ ์ตœ์ข… ํ•ฉ๊ฒฉ