- Company Name
- Figma
- Job Title
- Integration Engineer, AI
- Job Description
-
**Job Title:** Integration Engineer, AI
**Role Summary:**
Design, develop, and deploy AI agents, multi‑agent communication frameworks, and internal automation tools to streamline enterprise workflows. The role involves integrating with enterprise systems (e.g., Salesforce, NetSuite, Stripe, Snowflake) via APIs and iPaaS solutions, ensuring reliability, scalability, and compliance, while collaborating with cross‑functional teams to identify high‑impact automation opportunities.
**Expectations:**
- Build production‑grade AI agents and orchestration systems that reduce manual effort.
- Maintain robust integration architecture with enterprise SaaS platforms.
- Stay current with LLM and AI orchestration advancements and apply them practically.
- Deliver well‑documented, reusable designs and workflows.
**Key Responsibilities:**
- Design, develop, and deploy AI agents, MCP modules, and internal tools for complex workflow automation.
- Create multi‑agent communication and orchestration frameworks to enable autonomous task execution.
- Partner with Finance, HR, Sales, Engineering, and IT to uncover and implement AI‑driven automation opportunities.
- Integrate and optimize enterprise systems (Salesforce, NetSuite, Stripe, Snowflake…) using APIs, data pipelines, and iPaaS platforms such as MuleSoft.
- Ensure system reliability, scalability, performance, and compliance through rigorous testing, debugging, and monitoring.
- Maintain up‑to‑date knowledge of LLMs, orchestration frameworks, and AI platforms, applying new techniques to the organization’s ecosystem.
- Collaborate cross‑functionally to document architectures, workflows, and communication models for transparency and reusability.
**Required Skills:**
- 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 grasp of API design, RESTful services, and SaaS integration patterns.
- Experience with iPaaS platforms (e.g., MuleSoft) is a plus.
- Excellent analytical, problem‑solving, and debugging skills.
- Effective communication and collaboration abilities for cross‑functional teamwork.
**Required Education & Certifications:**
- Bachelor’s degree in Computer Science, Software Engineering, or related technical field (or equivalent professional experience).
- No specific certifications required.