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.

As a member of the Applied AI team at Anthropic, you will be a technical Product Engineer focused on becoming a trusted technical advisor to customers as they adopt Claude. You will work closely with customer product and engineering teams as they ship new products powered by Claude: advising on architecture design decisions, developing evaluation frameworks, and guiding customers through the most cutting edge implementation patterns for LLMs.

Working closely with our Sales, Product, and Engineering teams, you'll guide customers from technical discovery through successful deployment. You'll combine deep engineering expertise with customer-facing skills to help customers understand the potential of working with LLMs and build innovative solutions that address complex business challenges while maintaining our high standards for safety and reliability. 

Responsibilities:

• Serve as a technical advisor to Anthropic customers as they deploy new products & workflows with our models: from discovery through deployment, coordinating internally across multiple teams to drive customer success
• Partner with account executives to deeply understand customer product requirements and architect technical solutions, ensuring alignment between business objectives and technical implementation
• Guide technical architecture decisions and help customers build state-of-the-art products & workflows with LLMs via API
• Develop customized pilots, prototypes, and evaluation suites that make the case for customer deployment of our models into customer products and workflows via our API
• Lead hands-on technical workshops and code reviews with customer engineering teams
• Identify common design patterns and contribute insights back to our Product and Engineering teams 
• Maintain strong knowledge of the latest developments in LLM capabilities, implementation patterns, and AI product development stacks
• Travel occasionally to customer sites for workshops, implementation support, and building relationships
• Attend conferences, lead speaking engagements, write blog posts and white papers on topics surrounding the AI space

You may be a good fit if you have: 

• 4+ years of experience in a technical roles such as Customer Engineer, Forward Deployed Engineer, Software Engineer or Technical Product Manager with a desire to work closely with customers
• Production experience with LLMs including advanced prompt engineering, agent development, evaluation frameworks, and deployment at scale
• Strong programming skills with proficiency in Python and experience building production applications
• Expertise working with common LLM implementation patterns, prompt engineering, evaluation frameworks, agent frameworks, and retrieval frameworks.
• Ability to navigate ambiguity and execute across domains with intellectual openness, finding simple solutions to complex problems
• High cooperation mindset for cross-organizational collaboration, balancing competing priorities with integrity
• Passion for advancing safe, beneficial AI systems through creative technical applications
• Exceptional communication skills to convey technical concepts to diverse stakeholders while maintaining a low ego and collaborative approach
• Fluent in both Korean and English

About the role

As the founding leader of Applied AI Solutions Architecture in Korea, you will drive the adoption of frontier AI by enabling the deployment of Anthropic's products (Claude for Enterprise, Claude Code, and API) across Korean enterprises and digital-first organizations. You'll leverage your technical skills and consultative sales experience to drive positive AI transformation that addresses our customers' business needs, meets their technical requirements, and provides a high degree of reliability and safety.

You'll be responsible for building and leading the Korea Applied AI team from the ground up. Applied AI comprises Solutions Architects, Product Engineers, and Finetuning Engineers. You will establish processes and best practices for the region's technical pre-sales engagements based on your years of experience, help each team member achieve success, high productivity, and career growth, and represent Anthropic as a technical lead on some of its most important partnerships.

In collaboration with the Sales, Product, and Engineering teams globally and locally, you'll help enterprise partners incorporate leading-edge AI systems into their cutting-edge products and platforms. You will employ your excellent communication skills—in both Korean and English—to explain and demonstrate complex solutions persuasively to technical and non-technical audiences alike. You will play a critical role in identifying opportunities to innovate and differentiate our AI systems, while maintaining our best-in-class safety standards.

Responsibilities:

• Build and manage the foundational team of Applied AI professionals in Seoul (Solutions Architects and Product Engineers) providing both technical guidance and career development

• Set goals and reviews for your team, promoting growth and output

• Work with a handful of highest-value enterprise customers on their overall AI adoption strategies, focusing on pre-sales technical excellence including use case scoping, technical champion building, and POC execution

• Partner closely with your aligned GTM leadership to understand customer requirements & co-build GTM strategies to drive adoption for Korean enterprise customers

• Contribute to thought leadership through conference presentations, webinars, and technical content creation

• Own the technical portions of pre-sales engagements, ensuring your team provides compelling demos and validates enterprise customer ROI from Anthropic products

• Drive collaboration from cross-functional teams to influence and unify stakeholders at all levels of the organization to drive business outcomes

• Travel regularly to customer sites for executive-level sessions, technical workshops, and building relationships

• Establish a shared vision for creating solutions that enable beneficial and safe AI in technology products

• Lead the vision, strategy, and execution of innovative solutions that leverage our latest models' capabilities

• Stay current with emerging AI/ML trends and competitive landscape in the Korean enterprise tech sector

You may be a good fit if you have:

• 7+ years of experience as a Solutions Architect, Sales Engineer, or similar pre-sales technical role

• 3+ years of technical go-to-market management experience, specifically managing pre-sales teams

• Native or business-level fluency in Korean and professional proficiency in English

• Experience working with Korean enterprise customers and understanding local business culture and decision-making processes

• Experience with the unique technical requirements and technical procurement process of enterprise tech companies

• Deep technical proficiency with enterprise AI deployments, API integrations, and production LLM use cases

• Have an organizational mindset and enjoy building foundational teams in a relatively unstructured environment

• Have excellent communication, collaboration, and coaching abilities

• Are comfortable dealing with highly uncertain, ambiguous, and fast-moving environments typical of the tech industry

• Strong executive presence and ability to foster deep relationships with technical leaders and engineering teams

• Have at least a high level familiarity with the architecture and operation of large language models and/or ML in general

• Experience with prompt engineering, LLM evaluation, and architecting AI-powered systems

• Make ambiguous problems clear and identify core principles that can translate across scenarios

• Have a passion for making powerful technology safe and societally beneficial

• Think creatively about the risks and benefits of new technologies, and think beyond past checklists and playbooks

• Stay up-to-date and informed by taking an active interest in emerging research and industry trends

• Understanding of developer tooling, SDKs, and technical integration patterns common in enterprise tech companies

Deadline to apply: None. Applications will be reviewed on a rolling basis.

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.