Software Engineer - AI Agent Platforms

About the Company

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.

Workato fosters a flexible, trust-oriented culture that empowers employees to take full ownership of their roles. The company values innovation, collaboration, and work-life balance, offering a vibrant and dynamic work environment alongside comprehensive benefits.

Recognitions include:

• Named an “enterprise startup to bet your career on” by Business Insider
• Listed among Forbes’ Cloud 100 as one of the top 100 private cloud companies in the world
• Ranked 17th fastest growing tech company in the Bay Area and 96th in North America by Deloitte Tech Fast 500
• Ranked #1 best company for remote workers by Quartz

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 the 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.