Sendbird Logo

Sendbird

Software Engineer, AI Agent

Posted 3 Days Ago
Easy Apply
Hybrid
San Mateo, CA, USA
150K-180K Annually
Mid level
Easy Apply
Hybrid
San Mateo, CA, USA
150K-180K Annually
Mid level
As a Software Engineer for AI Agent, you will deploy production-grade AI agents, tune system prompts, and monitor live deployments to ensure quality. The role involves collaboration across teams to meet customer needs quickly and effectively, focusing on real-world environments and outcomes.
The summary above was generated by AI

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.

Top Skills

Aws Lambda
Claude
Django
Express
Gcp Cloud Functions
JavaScript
Langchain
Node.js
Openai
Python
React
Typescript
Vercel
HQ

Sendbird San Mateo, California, USA Office

Our office promotes a hybrid work culture. Our office is conveniently located steps off the Cal Train station in San Mateo and we are surrounded by great places to eat, drink, and get fit.

Similar Jobs at Sendbird

Yesterday
Easy Apply
Hybrid
San Mateo, CA, USA
Easy Apply
140K-180K Annually
Senior level
140K-180K Annually
Senior level
Digital Media • Mobile • Software • Conversational AI
As a Senior Product Marketing Manager, you will own the end-to-end product marketing strategy for AI-powered customer experiences in a B2B SaaS environment, focusing on storytelling, content creation, and go-to-market strategies.
Top Skills: ChatgptClaudeCursorMidjourneyRunway
9 Days Ago
Easy Apply
Hybrid
San Mateo, CA, USA
Easy Apply
200K-235K Annually
Mid level
200K-235K Annually
Mid level
Digital Media • Mobile • Software • Conversational AI
The Sales Engineer owns the technical sales cycle, maps customer architecture, and designs solutions while leveraging AI tools for demonstrations and automation.
Top Skills: AndroidChatgptClaudeFlutteriOSJavaScriptKotlinMakeMobile SdksN8NReactReact NativeRestful ApisSwiftUnityZapier
15 Days Ago
Easy Apply
Hybrid
San Mateo, CA, USA
Easy Apply
145K-170K Annually
Senior level
145K-170K Annually
Senior level
Digital Media • Mobile • Software • Conversational AI
The Content Marketing Manager will drive Delight.ai's organic growth strategy, oversee SEO and AEO efforts, create and optimize content, and measure performance metrics to enhance discoverability and pipeline generation.
Top Skills: AeoAhrefsAi ToolsContent Marketing SoftwareGeoSemrushSeo

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account