Software Engineer - AI Agent Platforms

Workato; San Francisco (CA); On-site; USD 140,000 - 200,000; Full time

Job summary

Workato is seeking a Software Engineer to help build the distributed backend powering our AI agent platform and related developer-facing products. You will work on event-driven services, real-time integrations, and APIs that enable agents to reliably perform real work at scale.

You will collaborate with product managers, designers, and AI researchers, writing maintainable code and participating in a fast-paced, iterative development process.

Qualifications

• 3+ years of professional software engineering experience building and shipping production applications.
• Strong proficiency in Python or another modern programming language with clean, maintainable, and well-tested code.
• Solid understanding of backend software engineering fundamentals, 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.
• Experience deploying or supporting applications in cloud environments (AWS preferred) and exposure to Kubernetes, containers, or modern infrastructure tooling.
• Experience with observability tools, logging, metrics, or debugging production systems.
• Experience building or supporting developer-facing products such as APIs, SDKs, CLIs, or developer platforms.
• Hands-on experience with LLMs, AI applications, RAG, MCP, or agentic systems is a strong plus.

Responsibilities

• 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.

Skills

Python

Backend APIs

Distributed systems

AWS

Kubernetes

LLMs

CI/CD

DevOps

Tools

PostgreSQL

FastAPI

Git

Job description

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. To learn more, visit www.workato.com

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. That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of our work lives.

Also, feel free to check out why:

• Business Insider named us an “enterprise startup to bet your career on”

• Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world

• Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America

• Quartz ranked us the #1 best company for remote workers

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.

Our Stack: Python, FastAPI, PostgreSQL, Kubernetes, AWS. You don't need experience with every technology—we're looking for engineers who learn quickly and enjoy working across new technologies.

Soft Skills / Personal Characteristics

• Demonstrates ownership by taking features from implementation through delivery while collaborating effectively with teammates.
• Strong problem-solving skills with an interest in building reliable, scalable software.
• Product-minded and curious about how technical decisions impact developer experience and end users.
• Comfortable working in a fast-paced environment with evolving priorities.
• AI-native—uses modern AI development tools (such as Claude Code or similar) to improve productivity and engineering workflows.
• Excellent written and verbal communication skills, with the ability to collaborate effectively across engineering and product teams.