🛠 Tech Stack

💼 About This Role

You'll design and build agentic AI systems that move the organization from information retrieval to multi-system automation. You'll operate at the intersection of AI, enterprise systems, and integration platforms, building scalable agent workflows and enabling a citizen developer ecosystem.

🎯 What You'll Do

• Design and implement agentic AI workflows using modular API-first architecture
• Build autonomous agents that orchestrate workflows across enterprise systems
• Architect a unified data layer for AI agents to access siloed data
• Develop integrations, APIs, and custom connectors for scalable AI orchestration

📋 Requirements

• 10+ years of software engineering experience including 3+ years in AI/ML development
• Strong proficiency in Python and API development (REST, GraphQL, webhooks)
• Hands-on experience with enterprise integration platforms (e.g., Workato, MuleSoft, Zapier)
• Experience working with LLM APIs (OpenAI, Anthropic, Google Gemini, or similar)

✨ Nice to Have

• Experience deploying agentic AI systems in production environments
• Familiarity with iPaaS platforms (Workato preferred) and enterprise automation ecosystems
• Knowledge of Model Context Protocol (MCP) or similar interoperability standards

🎁 Benefits & Perks

• 💰 Competitive compensation plus Restricted Stock Units
• 🏖️ Paid time off and paid holidays
• 🏥 Comprehensive health, dental & vision insurance with HSA contributions
• 📚 Professional development and tuition reimbursement
• 🏦 401(k) Retirement plan with company match up to 4% of salary