Most engineers ship features. You'll ship outcomes, directly in the hands of customers, on live systems, where it actually counts. And you'll do it faster than anyone thought possible.

The Company

Sendbird is on a mission to build the AI workforce of tomorrow. For over a decade, we built the infrastructure behind conversations—chat, voice, video, messaging APIs—and became the #1 CPaaS platform for in-app communications. 4,000+ brands trust us. 7 billion messages flow through our platform every month. 300 million monthly active users.

We powered conversations for DoorDash, Match Group, Noom, Yahoo Sports, Rakuten, and thousands of others. We were good at what we did. Really good.

We also saw it early: AI would fundamentally reshape how businesses talk to customers. The infrastructure we'd spent a decade building would become commoditized. The value would move up the stack—into intelligence, into experience, into outcomes.

We had a choice: protect what we built, or reinvent ourselves.

We chose reinvention.

In December 2024, we made the full strategic pivot to AI-first customer experience. By February 2025, we'd launched our AI agent for enterprise CX—built on a decade of conversation data, now with intelligence on top. And in November 2025, we rebranded to Delight.ai.

The name says it all. AI's real promise isn't efficiency or cost savings. It's giving customers back something they lost—the feeling of being truly understood and cared for. Not satisfied. Delighted.

The Product

Delight.ai is the AI concierge for customer experience. Most AI agents forget you the moment the conversation ends. Ours doesn't. Delight.ai builds memory over time, learns preferences, and connects context across every channel—chat, SMS, email, voice, WhatsApp—without losing the thread. We're building AI that makes customers feel understood, seen, and remembered.

Why Software Engineers for our AI Agents?

AI agents don't fail in demos. They fail in production, when the edge case hits, the prompt breaks, or the integration misbehaves in front of a real customer. That gap between "it works in the sandbox" and "it works in the wild" is exactly where this role lives.

We're deploying AI agents for some of the world's biggest brands. Each one has unique workflows, data, and stakes. We need engineers who can sit across from a customer, understand the problem, and build the solution fast, not hand off a spec and wait. If you treat AI as a core part of your toolkit and not an afterthought, you'll move at the speed this role demands.

The Role

You'll own the full technical lifecycle of customer AI agent deployments, from first integration to live monitoring, working at the intersection of product, engineering, and customer outcomes. This role is for engineers who use AI to compress timelines, ship higher-quality work, and want their impact felt immediately, not six months from now.

You might be this person if:

• You think in systems — inputs, outputs, failure modes — and you naturally ask "what happens when this breaks?" before anyone else does
• You've debugged something live, under pressure, with a customer watching, and you didn't flinch
• You use AI tools daily to prototype, debug, and iterate, and you've figured out how to get 10x the output without cutting corners on quality
• You read a system prompt the way a compiler reads code, spotting logic gaps, unintended behaviors, and edge cases others miss
• You've built something end-to-end, frontend to backend to deployment, and you're proud of how it actually held up
• You learn fastest by building, not by reading docs, and you've shipped something with a new API within days of touching it for the first time
• You care about what the customer actually experiences, not just whether the tests pass
• Ambiguity doesn't slow you down. You'd rather build a rough solution and iterate than wait for a perfect brief

You need to have:

• 2-3 years of hands-on software engineering experience in full-stack or backend development
• Strong Python proficiency and the ability to write clean, maintainable code under real-world constraints
• Practical experience with React and modern JavaScript/TypeScript on the frontend, plus backend frameworks like Node.js, Django, or Express
• Hands-on experience with LLM APIs (e.g., OpenAI, Claude) or agent frameworks such as LangChain
• Familiarity with RAG pipelines, knowledge base integration, and cloud deployment platforms (e.g., AWS Lambda, Vercel, GCP Cloud Functions)

What you'll actually do:

• Deploy production-grade AI agents tailored to each customer's environment, owning setup, configuration, and go-live
• Tune system prompts and agent behaviors against real-world use cases, using AI-assisted workflows to move from hypothesis to working solution faster than a traditional dev cycle allows
• Prototype and ship fast, leveraging agentic coding tools to build agent interfaces, dashboards, and backend integrations with Next.js, React, and modern APIs
• Integrate RAG pipelines and knowledge bases that give agents the context they need to perform
• Monitor live deployments with logging, metrics, and observability so issues surface before customers notice them
• Collaborate with Forward Deployed PMs, core product, and design to turn customer needs into working solutions, often building a prototype before the meeting ends
• Lead technical demos, document implementation decisions, and maintain architecture diagrams that actually reflect reality

Added Value

• Prior experience tuning or debugging AI agent performance in live, production environments - or in a forward deployed setting
• Background in 0-to-1 builds, customer-facing implementation, or technical consulting, with a track record of navigating the messiness of real deployments

What we offer:

We take care of the people who build the future. Here's some of what you can expect when you join Sendbird.

• Medical, dental, and vision coverage, on us. Sendbird covers 100% of the premium for our employees and roughly 80% for their dependents.
• Generous time off. 20 days PTO, 13 company holidays, 7 sick days, 2 rest & rejuvenation days, 1 volunteer day, and your birthday off.
• $3,500 annual "Be Your Best Self" boost. Spend it on anything that helps you grow. Gym memberships, therapy, books, courses, massages, and more.
• Parental leave for all new parents. Time to be present for the moments that matter most.
• 401(k) from day one. Auto-enrollment, flexible contributions, and access to Vanguard's investment platform.
• HSA & FSA options. Pre-tax accounts to cover healthcare, dependent care, and commuter expenses.
• Life & disability coverage, fully paid. Life insurance and AD&D at 2x your salary, plus short- and long-term disability at no cost to you.

Pay Transparency

For cash compensation, we set standard ranges for all roles based on function, level, and geographic location.  To determine our ranges, we utilize a variety of compensation data benchmarked against similar-stage growth companies.   A reasonable estimate of the current salary range for this role is $150,000 - $180,000 .  This range is specific to the San Francisco Bay market.  We consider several factors when making final compensation decisions including, but not limited to, skill sets, experience and training, licensure and certifications, and other business and organizational needs which may cause your specific offer to vary from the amount listed above.

Flexible Work Policy

We offer a flexible work schedule at Sendbird.  We also value collaboration and relationship building.  With those values in mind, we require all employees within an hour's commute range of their local office to gather with their team in the office three days per week as a minimum.  Some of our roles require a more frequent in-office schedule.  Please work with your manager to understand the office time requirements for your position.

What diversity and inclusion mean to us

There is no such thing as a perfect candidate and the best employees come from a wide range of backgrounds, experiences, and skill sets. Sendbird is a place where everyone can learn and grow. We respect, promote, and encourage diversity for equal employment opportunities and encourage you to apply if this role excites you.

Why Sendbird

We're not iterating on an existing product. We're building a new category, AI that genuinely delights customers, on top of infrastructure that's already at enterprise scale. This role puts you at the center of that: real customers, real deployments, real impact. If you want to own outcomes and help define what forward-deployed AI engineering looks like, this is the place.

Sendbird is building the AI workforce of tomorrow, and we hire that way too. Learn more about our interview process, how we evaluate candidates, and the role AI plays along the way.

The Company

Sendbird is on a mission to build the AI workforce of tomorrow. For over a decade, we built the infrastructure behind conversations—chat, voice, video, messaging APIs—and became the #1 CPaaS platform for in-app communications. 4,000+ brands trust us. 7 billion messages flow through our platform every month. 300 million monthly active users.
We powered conversations for DoorDash, Match Group, Noom, Yahoo Sports, Rakuten, and thousands of others. We were good at what we did. Really good.
We also saw it early: AI would fundamentally reshape how businesses talk to customers. The infrastructure we'd spent a decade building would become commoditized. The value would move up the stack—into intelligence, into experience, into outcomes.
We had a choice: protect what we built, or reinvent ourselves.
We chose reinvention.
In December 2024, we made the full strategic pivot to AI-first customer experience. By February 2025, we'd launched our AI agent for enterprise CX—built on a decade of conversation data, now with intelligence on top. And in November 2025, we rebranded to delight.ai.
The name says it all. AI's real promise isn't efficiency or cost savings. It's giving customers back something they lost—the feeling of being truly understood and cared for. Not satisfied. Delighted

The Product

Delight.ai is the AI concierge for customer experience. Most AI agents forget you the moment the conversation ends. Ours doesn't. Delight.ai builds memory over time, learns preferences, and connects context across every channel without losing the thread. We're building AI that makes customers feel understood, seen, and remembered.

The Role

The Technical Writing team at Sendbird empowers developers to build successful businesses on our platform by delivering high-quality content — from documentation and user guides to tutorials, UI text, and beyond. As a Technical/UX Writer, you'll be at the center of the developer experience, transforming complex technical concepts into content that is clear, concise, and actionable.

You might be this person if

• You quickly spot friction in the user experience — whether it's a confusing UI label, unclear documentation, or a workflow that loses developers halfway through — and you can articulate exactly what's wrong and why.
• You're a critical thinker who questions the obvious and finds a better path when the conventional one doesn't work.
• You're genuinely curious about AI — not just as a trend, but as a tool you actively use to work faster and smarter. Sendbird encourages all members to tap into the most advanced tools available.
• You thrive in cross-functional work. You'll collaborate closely with product managers, engineers, and UX designers to create content that meets real customer needs.
• You take ownership. You don't wait to be told what needs fixing — you spot it, flag it, and drive it forward.
• You're not afraid to ask questions. When you need context, resources, or a second opinion, you seek them out — proactively and without hesitation.

What you'll actually do

• Create content: Develop and maintain high-quality documentation, user guides, and UI text strings for Sendbird's products, ensuring clarity and accuracy.
• Write UX copy: Craft button labels, error messages, onboarding flows, and tooltips that guide users with minimal friction.
• Improve content: Build an effective feedback loop and integrate customer insights into our content.
• Work with AI: Use AI tools actively in your writing workflow — to draft, restructure, automate, and iterate — while applying your own judgment to every output.
• Stay current: Research competitor products, B2B trends, and developer communities to keep our content competitive and relevant.

You need to have

• Experience: 0–2 years in technical writing, UX writing, content design, or a related field.
• Content writing sense: You notice when content does not deliver its message effectively  — and you can explain why. This is foundational to how we work.
• AI proficiency: You've used AI tools in real writing or content work. You know how to direct them with purpose, and you treat their output as a first draft.
• Writing and communication: Fluent in English and Korean, both written and verbal.
• Collaborative tools: Familiar with Git, GitBook, Confluence, Jira, Figma, or similar tools.
• Education: Bachelor's degree or equivalent experience.

 Added value

• Background in Computer Science, Technical Writing, or a related field.
• Experience with AI or SaaS product development.
• Familiarity with API, SDK, or any programming languages such as Swift, Kotlin, or JavaScript.

Our KR benefits include (but are not limited to)

• Be Your Best Self: 3.9 million won (prorated by start date) for expenses ranging from professional development classes and training, to personality assessments, to gym memberships, to books, to fitness classes, to mental health services, to massages
• Annual cash-equivalent special welfare points of 200,000 KRW for Seollal and Chuseok holidays each
• Learn a Language benefit - up to 3.6 million won per year towards language lessons 
• Weekly team lunch
• Monthly team building cost
• Partial support for commuting costs
• Free parking at the Seolleung office
• Group insurance support that covers employees, spouses, and children
• Medical checkup support, including MRI and genetic testing - for the employee and one family member
• Seven additional paid holidays in addition to annual leave (Boost leave, Birthday leave, etc.)
• Support for the latest work devices, such as MacBook Pro (special support options for each job position)
• Unlimited snack bar filled with snacks, beverages, and instant noodles every day
• 12-week paid parental leave support (available for both mothers and fathers)
• Other support programs for congratulations and condolences

Flexible Work Policy

We offer a flexible work schedule at Sendbird.  We also value collaboration and relationship building.  With those values in mind, we require all employees to gather with their team in the office three days per week as a minimum.  Some of our roles require a more frequent in-office schedule.  Please work with your manager to understand the office time requirements for your position.

What diversity and inclusion mean to us

There is no such thing as a perfect candidate and the best employees come from a wide range of backgrounds, experiences, and skill sets. Sendbird is a place where everyone can learn and grow. We respect, promote, and encourage diversity for equal employment opportunities and encourage you to apply if this role excites you.

Why Sendbird

We spent a decade building the conversation infrastructure that the world runs on. Now we're putting intelligence on top of it. You won't be joining a company still figuring out its AI strategy. You'll be joining one that has already made the bet, shipped the product, and is moving fast to lead the category. If you want to build something that matters, with a team that knows how, this is it.

The AI agent space is moving fast. Most companies are still figuring out what to build. We already know, and we need someone to help us build it.

The Company

Sendbird is on a mission to build the AI workforce of tomorrow. For over a decade, we built the infrastructure behind conversations—chat, voice, video, messaging APIs—and became the #1 CPaaS platform for in-app communications. 4,000+ brands trust us. 7 billion messages flow through our platform every month. 300 million monthly active users.

We powered conversations for DoorDash, Match Group, Noom, Yahoo Sports, Rakuten, and thousands of others. We were good at what we did. Really good.

We also saw it early: AI would fundamentally reshape how businesses talk to customers. The infrastructure we'd spent a decade building would become commoditized. The value would move up the stack—into intelligence, into experience, into outcomes.

We had a choice: protect what we built, or reinvent ourselves.

We chose reinvention.

In December 2024, we made the full strategic pivot to AI-first customer experience. By February 2025, we'd launched our AI agent for enterprise CX—built on a decade of conversation data, now with intelligence on top. And in November 2025, we rebranded to delight.ai.

The name says it all. AI's real promise isn't efficiency or cost savings. It's giving customers back something they lost—the feeling of being truly understood and cared for. Not satisfied. Delighted.

The Product

Delight.ai is the AI concierge for customer experience. Most AI agents forget you the moment the conversation ends. Ours doesn't. Delight.ai builds memory over time, learns preferences, and connects context across every channel—chat, SMS, email, voice, WhatsApp—without losing the thread. We're building AI that makes customers feel understood, seen, and remembered.

Why Applied AI Engineer

The next wave of AI isn't chatbots answering FAQs. It's agents that reason, remember, and act, proactively and accurately, at scale. That's what we're building, and we need someone who can build the backend brain behind it.

This is where research meets production. You'll take the latest advances in LLMs, RAG, and agentic systems and turn them into features that enterprise customers depend on every day. Not demos. Deployed, scaled, real. You'll also be expected to use AI tooling aggressively in your own workflow, automating pipelines, wiring together APIs, and building with agentic CLIs so your output compounds beyond what any single engineer could ship alone.

The Role

You'll design and build the core intelligence layer of our AI agents: retrieval systems, tool-calling pipelines, voice integrations, and agentic reasoning capabilities. You'll also be expected to use AI-native development tools and automation to accelerate your own work and the team around you. The right person thrives at the intersection of applied research, production engineering, and building with AI.

You might be this person if:

• You read AI research papers and your first instinct is to run an experiment, not write a summary.
• You've shipped LLM-powered features to production and you know exactly what separates a reliable system from a promising prototype.
• You obsess over latency, accuracy, and failure modes. "Kind of works" isn't in your vocabulary.
• You use agentic CLIs like Claude Code to move fast, and you wire APIs, automation platforms, or custom scripts together to eliminate repetitive work for yourself and your teammates.
• You get uncomfortable when prompt engineering is the only lever being pulled. You want to go deeper.
• You can evaluate a voice AI vendor on quality, cost, and real-world performance without needing a framework to tell you how.
• You communicate technical tradeoffs clearly enough that product managers and engineers can make real decisions.

You need to have:

• 5 or more years of professional experience in machine learning, data science, or applied AI engineering.
• Hands-on experience with AI agent frameworks such as LangChain or LlamaIndex, tool use, or advanced prompt engineering.
• Working knowledge of voice AI technologies, including Speech-to-Text and Text-to-Speech, with the ability to evaluate solutions across quality, latency, and cost.
• Fluency in Python with a track record of building and deploying production-grade services.

What you'll actually do:

• Design and optimize the full backend pipeline for our AI agents, including advanced RAG systems, function-calling tools, and core agentic capabilities.
• Lead the integration and evaluation of voice AI solutions, third-party APIs, self-hosted models, and fine-tuned alternatives, with a hard focus on latency and quality.
• Prototype and implement new agent methodologies drawn from the latest LLM and agentic research, moving from experiment to production when results warrant it.
• Build and automate scalable Python services using agentic development tools, accelerating your output and reducing manual overhead across the full development lifecycle.
• Connect tools, APIs, and automation platforms to build internal pipelines that save time for the broader engineering team, not just yourself.
• Partner with product managers and engineers to translate complex requirements into shippable features without losing technical integrity.
• Embed AI agent capabilities directly into the Sendbird platform, ensuring the experience is coherent and powerful from the customer's point of view.

Added Value:

• Experience building natural language processing products.
• Familiarity with cloud platforms such as AWS, GCP, or Azure.
• Bilingual in Korean and English.

Our KR benefits include (but are not limited to)

• Silicon Valley's equity program (1-year cliff) 
• Hybrid work policy, flexible work hours
• Be Your Best Self: 3.9 million won (prorated by start date) for expenses ranging from professional development classes and training, to personality assessments, to gym memberships, to books, to fitness classes, to mental health services, to massages
• Learn a Language benefit - up to 3.6 million won per year towards language lessons 
• Weekly team lunch cost
• Monthly team-building cost
• Partial support for commuting costs
• Free parking at the Seolleung office
• Group insurance support that covers employees, spouses, and children
• Medical checkup support, including MRI and genetic testing - for the employee and one family member
• Seven additional paid holidays in addition to annual leave (Boost leave, Birthday leave, etc.)
• Support for the latest work devices, such as MacBook Pro (special support options for each job position)
• Unlimited snack bar filled with snacks, beverages, and instant noodles every day
• 12-week paid parental leave support (available for both mothers and fathers)
• Other support programs for congratulations and condolences
  

Flexible Work Policy

We offer a flexible work schedule at Sendbird.  We also value collaboration and relationship building.  With those values in mind, we require all employees to gather with their team in the office three days per week as a minimum.  Some of our roles require a more frequent in-office schedule.  Please work with your manager to understand the office time requirements for your position.

What diversity and inclusion mean to us

There is no such thing as a perfect candidate and the best employees come from a wide range of backgrounds, experiences, and skill sets. Sendbird is a place where everyone can learn and grow. We respect, promote, and encourage diversity for equal employment opportunities and encourage you to apply if this role excites you.

About Sendbird

Combining omnichannel AI and battle-tested, award-winning communication APIs, Sendbird enables businesses to build AI agents and meaningful customer connections at scale. Trusted by 4,000+ leading apps—including DoorDash, Match Group, Noom, and Yahoo Sports—Sendbird powers over 7 billion conversations every month, offering exceptional reliability, security, and compliance that meet enterprise-level demands. Headquartered in California, Sendbird is backed by ICONIQ, SoftBank, Tiger Global, Y Combinator, and other reputable investors.

Why Sendbird

We spent a decade building the conversation infrastructure that the world runs on. Now we're putting intelligence on top of it. You won't be joining a company still figuring out its AI strategy. You'll be joining one that has already made the bet, shipped the product, and is moving fast to lead the category. If you want to build something that matters, with a team that knows how, this is it.

The Company 

Sendbird is on a mission to build the AI workforce of tomorrow. For over a decade, we built the infrastructure behind conversations—chat, voice, video, messaging APIs—and became the #1 CPaaS platform for in-app communications. 4,000+ brands trust us. 7 billion messages flow through our platform every month. 300 million monthly active users.

We powered conversations for DoorDash, Match Group, Noom, Yahoo Sports, Rakuten, and thousands of others. We were good at what we did. Really good.

We also saw it early: AI would fundamentally reshape how businesses talk to customers. The infrastructure we'd spent a decade building would become commoditized. The value would move up the stack—into intelligence, into experience, into outcomes.

We had a choice: protect what we built, or reinvent ourselves.

We chose reinvention.

In December 2024, we made the full strategic pivot to AI-first customer experience. By February 2025, we'd launched our AI agent for enterprise CX—built on a decade of conversation data, now with intelligence on top. And in November 2025, we rebranded to Delight.ai.

The name says it all. AI's real promise isn't efficiency or cost savings. It's giving customers back something they lost—the feeling of being truly understood and cared for. Not satisfied. Delighted.

The Product 

Delight.ai is the AI concierge for customer experience. Most AI agents forget you the moment the conversation ends. Ours doesn't. Delight.ai builds memory over time, learns preferences, and connects context across every channel—chat, SMS, email, voice, WhatsApp—without losing the thread. We're building AI that makes customers feel understood, seen, and remembered.

The Role 

You'll own end-to-end delivery of core AI agent capabilities, from architecture to production, driving excellence across orchestration, prompt engineering, and platform scalability. You'll mentor the engineers around you and set the standard for AI-native development. This role is built for someone who moves fast, thinks in systems, and uses AI to ship at a pace that surprises people.

You might be this person if:

• You've owned a system that broke in production, made it better, and still think about why it broke.
• You use agentic tools like Claude Code or Codex as a core part of your dev workflow, not as a novelty.
• You enjoy mentoring junior engineers not because it's expected, but because you genuinely care about how they grow.
• You've shipped LLM-powered features into production and have strong views on where prompt engineering ends and architecture begins.
• You've led technical planning in a cross-functional setting and can hold your own in a room with PMs, designers, and engineers at once.

You need to have:

• 3+ years of software engineering experience with direct ownership of AI/ML or backend systems in production.
• Deep Python expertise with a proven track record of building and scaling reliable, performant systems.
• Hands-on experience with LLM APIs.
• Strong system design and architecture skills, including distributed systems and cloud-native deployments on AWS or GCP.
• Strong English proficiency. You can communicate complex technical ideas clearly in writing and in conversation.

What you'll actually do:

• Design and implement core agent features including advanced RAG pipelines, multi-step tool use, and agent orchestration logic.
• Drive architectural decisions for the AI agent platform with a focus on fault tolerance, scalability, and extensibility.
• Build and optimize evaluation, observability, and classification pipelines that improve agent performance over time.
• Lead prompt engineering strategy for diverse customer use cases, including designing A/B testing and automated regression pipelines.
• Improve retrieval logic and embedding models to push RAG pipeline performance further.
• Monitor AI research and actively bring relevant techniques into production systems, using agentic CLIs and automation tooling to accelerate iteration cycles.
• Guide junior engineers and interns through code reviews, architectural discussions, and technical planning.
• Partner with PMs, designers, and sales engineers to translate real customer needs into well-scoped technical solutions.

Added Value:

• Prior experience with real-time or conversational interfaces.
• Hands-on experience with agentic frameworks such as LangChain or LangGraph.
• Familiarity with vector databases, search technologies, or large-scale data processing.
• Contributions to open-source LLM or AI tooling ecosystems.
• Native-level English fluency.

Our KR benefits include (but are not limited to):

• Silicon Valley's equity program (1-year cliff) 
• Hybrid work policy, flexible work hours
• Be Your Best Self: 3.9 million won (prorated by start date) for expenses ranging from professional development classes and training, to personality assessments, to gym memberships, to books, to fitness classes, to mental health services, to massages
• Learn a Language benefit - up to 3.6 million won per year towards language lessons 
• Monthly team building cost
• Partial support for commuting costs
• Free parking at the Seolleung office
• Group insurance support that covers employees, spouses, and children
• Medical checkup support, including MRI and genetic testing - for the employee and one family member
• Seven additional paid holidays in addition to annual leave (Boost leave, Birthday leave, etc.)
• Unlimited snack bar filled with snacks, beverages, and instant noodles every day
• 12-week paid parental leave support (available for both mothers and fathers)
• Other support programs for congratulations and condolences

Flexible Work Policy

We offer a flexible work schedule at Sendbird.  We also value collaboration and relationship building.  With those values in mind, we require all employees to gather with their team in the office three days per week as a minimum.  Some of our roles require a more frequent in-office schedule.  Please work with your manager to understand the office time requirements for your position.

What diversity and inclusion mean to us

There is no such thing as a perfect candidate and the best employees come from a wide range of backgrounds, experiences, and skill sets. Sendbird is a place where everyone can learn and grow. We respect, promote, and encourage diversity for equal employment opportunities and encourage you to apply if this role excites you.

Why Sendbird 

We're not adding AI to a legacy product. We rebuilt from the ground up with a decade of proprietary conversation data that most AI companies would kill for. The people here are moving with urgency because the opportunity is real and the window is now. If you want to own something that matters and see it ship to millions of users, this is the place.

센드버드는 옴니채널 AI와 세계 최고 수준의 검증된 커뮤니케이션 API를 결합하여, 기업이 AI 에이전트를 구축하고 의미 있는 고객 연결을 대규모로 만들어갈 수 있도록 돕습니다.

센드버드는 엔터프라이즈 수준의 안정성, 보안성, 규정 준수를 갖춘 솔루션을 제공합니다. DoorDash, Match Group, Noom, Yahoo Sports를 포함한 4,000개 이상의 글로벌 선도 앱이 센드버드를 신뢰하고 있으며, 매월 70억 건 이상의 대화가 센드버드 플랫폼을 통해 이루어지고 있습니다.

현재까지 실리콘밸리 최정상 투자사로부터 (ICONIQ, SoftBank, Tiger Global, Y Combinator) 누적 총 2억2천만달러 (약 2,450억 원)의 투자를 유치하였으며 국내 최초 기업가치 1조원 이상의 글로벌 유니콘 기업입니다. 캘리포니아 산 마테오의 본사와 서울의 R&D센터 및 APAC 오피스 그리고 뉴욕, 런던, 싱가포르, 인도, 캐나다 등에 오피스를 두고 있습니다.

Intern, AI Agent Engineering

AI 에이전트 엔지니어링 인턴은 엔지니어링 및 제품 팀과 협력하여 지능형 에이전트를 구축, 통합 및 배포합니다. 
최신 웹 프레임워크, LLM API 및 툴링 파이프라인을 사용하여 프로토타입부터 프로덕션까지 실무 경험을 쌓게 됩니다. 인턴십 기간은 8~12주 입니다.

이런 일을 하실 수 있어요

• 에이전트 프로토타이핑 및 개발
  • 프롬프트 엔지니어링으로 Hallucination 탐지, 대화 Resolution 등 마이크로 API 개발업무를 합니다.
  • 내부 데이터셋과 도구를 활용해 AI Agent의 정확도를 테스트하고 검증합니다. 
  • 검색 증강 생성(RAG), 지식 기반 및 맞춤형 툴체인을 지원하는 백엔드 API를 통합합니다.
• 프롬프트 엔지니어링 및 툴링
  • 다양한 사용 사례에 맞는 프롬프트를 제작, 테스트 및 세부 조정합니다.
  • 프롬프트 버전 및 에이전트 배포를 위한 CI/CD 파이프라인을 설정합니다.
• 통합 및 배포
  • 웹, 채팅 및 API 중심 환경에 에이전트를 임베드합니다.
  • 실시간 성능 지표를 모니터링하고 로그, 대시보드 등의 관측 기능을 구현합니다.
• 협업 및 문서화
  • 팀이 시니어 엔지니어, 제품 관리자 및 UX 디자이너와 긴밀히 협력할 수 있도록 지원합니다.
    
    

이런 분과 함께 하고 싶어요

• Python: 깔끔하고 유지 관리가 용이한 Python 코드 작성 경험
• Backend: Django, FastAPI, Express 등 서버 측 프레임워크를 사용한 백엔드 개발 실무 경험
• 협업: 뛰어난 의사소통 능력, 문서화 기술, 그리고 애자일한 팀에서의 협업 경험
  
  

이런 점이 있으시면 더 좋아요

• 프롬프트 엔지니어링 프레임워크(예: LangChain) 사용 경험
• 클라우드 플랫폼(AWS Lambda, Vercel, GCP Cloud Functions)에 대한 이해도
• AI 제품 관련 UX 디자인 또는 제품 관리 경험
• Django 또는 유사한 Python 웹 프레임워크 사용 경험
  
  

이런 점을 얻을 수 있어요 

• 첨단 에이전트 기반 AI 개발 및 시스템 배포에 대한 심층 분석
• 엔지니어링, 제품 및 디자인 전문가와의 교차 기능 협업
• 시니어 AI 엔지니어의 멘토링 및 정규직 전환 기회
• 실제 고객 사용 사례, 성능 튜닝 및 프로덕션급 툴 활용 경험
  
  

유연근무제 정책

Sendbird는 유연한 근무 일정을 지원합니다. 협업과 팀워크의 중요도가 높기에, 모든 구성원은 주 3일 이상 사무실에서 함께 모여 일하고 있어요. 일부 역할은 사무실 출근이 더 자주 필요할 수 있으니, 구체적인 요건은 매니저와 상의해 주세요.

센드버드가 생각하는 다양성과 포용

위 요구사항에 100% 부합하지 않으셔도 괜찮습니다. 센드버드는 모두가 배우고 성장할 수 있는 곳이기에 다양한 배경, 경험 및 기술 스택을 가진 누구든 최고의 직원이 되실 수 있다고 생각합니다. 우리는 평등한 고용 기회를 위해 다양성을 존중하고 장려하고 있습니다. 이 포지션이 여러분의 가슴을 뛰게 만든다면 지원해주세요!

Flexible Work Policy

We offer a flexible work schedule at Sendbird.  We also value collaboration and relationship building.  With those values in mind, we require all employees within an hour's commute range of their local office to gather with their team in the office three days per week as a minimum.  Some of our roles require a more frequent in-office schedule.  Please work with your manager to understand the office time requirements for your position.

What diversity and inclusion mean to us

There is no such thing as a perfect candidate and the best employees come from a wide range of backgrounds, experiences, and skill sets. Sendbird is a place where everyone can learn and grow. We respect, promote, and encourage diversity for equal employment opportunities and encourage you to apply if this role excites you.

About Sendbird

At Sendbird, we are building the most scalable and powerful chat API in the world with a mission to build connections in a digital world. Conversations have always been the way people build relationships and get things done and our goal is to put the power of conversations in the hands of every developer and brand by making apps more social through chat, voice, and video.

Sendbird is a unicorn start-up headquartered in San Mateo, CA with additional offices in; London, Seoul, Singapore, and Bengaluru and has raised over $220M with a $1 Billion+ valuation from leading investors, including ICONIQ Capital, STEADFAST Capital Ventures, Tiger Global Management, Shasta Ventures, Softbank Vision Fund 2, and Y Combinator.

Learn about Sendbird Agentic AI here and here