Integration Engineer, AI

Proven experience building and deploying AI agents, orchestration frameworks, or LLM-powered applications in production Deep understanding of agent architectures, multi-agent communication, and AI workflow automation Hands-on experience with modern AI/ML frameworks and APIs (LangChain, OpenAI, Anthropic, Google Gemini, etc.) Strong understanding of API design, RESTful services, and SaaS integrations Experience with MuleSoft or other iPaaS platforms is a plus, but not required Prior experience designing AI for internal enterprise tools is highly desirable Excellent analytical, problem-solving, and debugging skills Strong communication and collaboration skills for working across cross-functional teams

Design, build, and deploy AI agents, MCP modules, and internal tools that automate complex workflows and reduce manual work Develop multi-agent communication and orchestration frameworks to enable collaboration and autonomous task execution Partner with Finance, HR, Sales, Engineering, and IT to identify and deliver high-impact opportunities for AI-powered automation Integrate and optimize enterprise systems (Salesforce, NetSuite, Stripe, Snowflake, etc.) using APIs, data pipelines, and platforms like MuleSoft Ensure reliability, scalability, compliance, and performance through rigorous testing, debugging, and monitoring of AI systems and integrations Stay ahead of advancements in LLMs, orchestration frameworks, and AI platforms, applying them pragmatically to Figma’s ecosystem Collaborate cross-functionally and document architectures, workflows, and communication models for transparency and reusability