Sr./Staff Engineer, Agent Handler

Merge is the leading provider of agentic tools and customer-facing integrations for frontier LLMs, Fortune 500 organizations, and B2B SaaS companies. Our platform offers three core products: Merge Unified, which enables businesses to add hundreds of integrations to their products with a single API, Merge Agent Handler, which empowers AI agents with secure access to thousands of third-party tools, and Merge Gateway, the control plane for running AI in production. Merge's enterprise-grade platform handles the entire integration lifecycle, from authentication and security to monitoring and maintenance. Thousands of companies trust Merge to accelerate product development, unblock sales, reduce customer churn, and save engineering resources—allowing them to focus on their core product.

Merge is looking for a driven Sr/Staff Engineer, Agent Handler to build the next generation of Merge through externally facing, AI-native products powered by large language models, while also owning the foundational systems that enable AI-driven features and operational leverage across the company. You’ll guide a high-impact team through fast-moving problem spaces, partnering closely with product, design, and go-to-market to turn cutting-edge AI into real customer and business value.

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  Lead and foster a culture of innovation, experimentation, and technical rigor

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  Define and execute the roadmap for AI-driven products and internal tooling to improve integration development, monitoring, and automation

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  Collaborate with product, design, and engineering teams to build intelligent, user-facing tools that differentiate Merge’s platform

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  Ensure AI models and systems are deployed with scalability, performance, and security in mind

• 1+ years leading engineers and technical projects, with previous 7 - 10+ years of IC experience in software or ML/AI systems

• Strong track record of leading teams building AI-powered products, ML platforms, or data-intensive applications

• Familiarity with technologies and frameworks such as Python, Django, React, Postgres, AWS, and ML/AI libraries

• Product-minded engineering leader who can balance research/experimentation with shipping high-impact features

• Strong collaborator able to align AI-driven initiatives with broader company and customer goals

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