About Workato Workato delivers enterprise infrastructure for the agentic era, redefining iPaaS and helping enterprises unify data, applications, processes, and AI into a single, governed platform. A leader in Enterprise MCP and trusted by 50% of the Fortune 500, Workato’s cloud-native architecture connects every application, data source, and process to power real-time orchestration at scale. With enterprise-grade security and continuous innovation at its core, Workato provides the trusted foundation for organizations to automate with confidence and operationalize AI across the business.

Why Join Us

Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles . We are driven by innovation and looking for team players who want to actively build our company. But, we also believe in balancing productivity with self-care .

Benefits

they can enjoy inside and outside of their work lives. If this sounds right up your alley, please submit an application. We look forward to getting to know you!

Responsibilities

We're looking for a talented Software Engineer to help build the distributed backend that powers our AI agent platform and the developer-facing products around it. You'll work on the event-driven services, real-time integrations, and APIs that enable agents to reliably perform real work while contributing to systems designed to scale rapidly. In this role, you will: Build and enhance scalable backend services that process work reliably in distributed environments.

Develop developer-facing APIs, integrations, and tooling, including real-time services, gateways, and CLIs. Integrate LLMs and agentic workflows into production applications under the guidance of senior engineers. Contribute across the full software development lifecycle—from implementation and testing to deployment, monitoring, and continuous improvement.

Write clean, maintainable, and well-tested code while participating in thoughtful code reviews and collaborative engineering practices. Troubleshoot production issues, improve system reliability, and optimize performance as our platform grows. Collaborate closely with product managers, designers, AI researchers, and fellow engineers to deliver high-quality developer products.

Requirements

Qualifications

/ Experience / Technical Skills 3+ years of professional software engineering experience building and shipping production applications. Strong proficiency in Python or another modern programming language, with experience writing clean, maintainable, and well-tested code. Solid understanding of backend software engineering fundamentals, including APIs, data structures, algorithms, and distributed systems concepts.

Experience building backend services or APIs, preferably in cloud environments. Familiarity with event-driven architectures, messaging systems, streaming, or asynchronous processing is a plus. Experience deploying or supporting applications in cloud environments (AWS preferred) and exposure to Kubernetes, containers, or modern infrastructure tooling is desirable.

Experience with observability tools, logging, metrics, or debugging production systems is a plus. Experience building or supporting developer-facing products such as APIs, SDKs, CLIs, or developer platforms is highly desirable. Hands-on experience with LLMs, AI applications, RAG, MCP, or agentic systems is a strong plus.

Software Engineer - AI Agent Platforms