Forward Deployed Engineer, Sendbird

• 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
• 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

Desirable

• 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
• 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