Forward Deployed Engineer

Sendbird is on a mission to build the AI workforce of tomorrow. Sendbird is the omnichannel AI agent platform enterprises choose to elevate the customer experience by initiating autonomous support & sales conversations, keeping humans in the loop for complex inquiries, and re-engaging customers with proactive business messages. We are the omnichannel AI agent platform enterprises choose to elevate customer experience. Trusted by 4,000+ of the world’s most popular apps—including industry leaders like Match Group, Rakuten, Yahoo, and Coupang—Sendbird powers over 7 billion messages every month.

We’re looking for a Forward Deployed Engineer (FDE) to contribute to Sendbird’s vision to connect businesses and individuals, empowering them to achieve more than ever before. As the FDE, you will play a critical role in building, integrating, and deploying production-grade AI agents tailored to each customer’s needs. You’ll operate at the front lines—engineering solutions alongside customers—while directly shaping the technical foundation of Sendbird’s AI Agent platform.

Who You Are

• You have 2–3 years of hands-on software engineering experience, preferably in full-stack or backend development.
• You enjoy working directly with customers and thrive at the edge of engineering, product, and delivery.
• You love fast-paced environments, ambiguous challenges, and high-stakes problem solving.
• You think like an AI—mapping inputs to outcomes, reasoning through system prompts, and anticipating where things can go wrong.
• You understand Python, web frameworks, and LLM APIs—or you’re hungry to dive in and learn by building.
• You’re a team player who thrives in cross-functional collaboration with engineers, PMs, and designers.

What You Will Do

• Collaborate with Forward Deployed PMs, core product teams, and designers to ship customer-centric solutions.
• Tune system prompts, configure toolchains, and iterate on agent behaviors to meet real-world use cases.
• Rapidly prototype and deploy AI agents using LLM APIs (e.g., OpenAI, Claude).
• Build and extend agent interfaces and dashboards using modern web frameworks like Next.js and React.
• Integrate backend APIs that power RAG pipelines, knowledge bases, and custom tools.
• Own the technical implementation for customer deployments—from setup to monitoring.
• Document implementation decisions, maintain architecture diagrams, and lead technical demos.

What You Bring

• Strong proficiency in Python and ability to write clean, maintainable code.
• Hands-on experience with full-stack web development: React and modern JavaScript/TypeScript on the frontend, and backend frameworks such as Node.js, Django, or Express.
• Experience working with agent frameworks (e.g., LangChain) or LLM-based toolchains.
• Familiarity with retrieval-augmented generation (RAG) pipelines and knowledge base integration.
• Understanding of CI/CD practices and observability (e.g., logging, metrics dashboards, uptime monitoring).
• Experience deploying applications to modern cloud platforms (e.g., AWS Lambda, Vercel, GCP Cloud Functions).
• Strong collaboration skills and comfort working in agile, cross-functional teams.
• High ownership and comfort with ambiguity—you move fast, adapt quickly, and drive progress without waiting for perfect plans.

Added Value

• Prior experience with real-time agent performance tuning or debugging live deployments
• Experience working in 0→1 environments, customer-facing implementation, or technical consulting roles.

What We Offer Includes (but is not limited to)

• 20 days PTO, 13 paid US company holidays, 7 sick days, 1 volunteer day, plus 2 rest/rejuvenation and birthday days off
• Company subsidized medical, dental, vision insurance
• Flexible spending accounts
• Parental leave
• Life and disability insurance
• Be Your Best Self: An annual stipend of $3,500 (prorated after 3 months) for expenses ranging from professional development classes and training, to personality assessments, gym memberships, books, fitness classes, me