Software Engineer - AI Agent Platforms

Навыки

• AI-агенты
• AWS
• Коммуникация
• Отладка и поиск ошибок
• Распределённые системы
• FastAPI
• Kubernetes

О компании и продукте

• 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
• 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 their work lives.
• If this sounds right up your alley, please submit an application. We look forward to getting to know you!

Задачи

• 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
• 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

Требования

• 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

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