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About the Role

Workato is seeking a Staff AI Engineer to build the core of its AI platform. This role involves designing and developing production-grade systems for intelligent automation, agentic workflows, and large-scale retrieval services, transforming AI concepts into reliable, scalable, and secure solutions.

Responsibilities

• Design, build, and maintain AI-powered services and APIs using LLMs and custom ML models.
• Develop an enterprise-grade agentic framework for orchestration, retrieval, and collaboration between AI agents.
• Implement and optimize knowledge retrieval systems and agentic search capabilities using vector databases.
• Write well-structured, efficient, and testable Python code for production services, experimentation, and internal developer tools.
• Build and maintain shared Python libraries and SDKs.
• Collaborate with cross-functional teams on architecture, internal protocols, and API standards.
• Develop and enhance monitoring, validation, and observability for AI solutions.
• Drive the full software development lifecycle from design to continuous improvement.
• Identify and resolve performance bottlenecks, reliability issues, and scaling challenges.
• Participate in code reviews and technical discussions, mentoring other engineers.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
• 5+ years of experience as a Software Engineer with strong proficiency in Python.
• Proven track record of building and maintaining production-grade systems using Python.
• Strong understanding of distributed systems, API design, and data-driven architectures.
• Experience with relational and non-relational databases (PostgreSQL, Elastic, Qdrant, or similar).
• Familiarity with AI/ML system design, including LLM integration and evaluation pipelines.
• Knowledge of DevOps and observability practices (CI/CD, monitoring, metrics, and model validation).
• Experience working with multiple LLM providers (OpenAI, Anthropic, Qwen, open-source models).
• Background in developer platforms or AI infrastructure services.
• Familiarity with vector databases, semantic retrieval, and knowledge graph architectures.
• Exposure to Langfuse, LiteLLM, LangChain, or similar frameworks.
• Experience developing enterprise-scale SaaS or distributed backend systems.
• Contributions to open-source projects in Python, AI, or infrastructure engineering.
• Excellent communication skills, with the ability to convey complex technical ideas clearly.
• Collaborative and proactive approach, comfortable working across teams in a dynamic environment.
• Strong analytical and problem-solving abilities, with a focus on continuous improvement and innovation.
• Curiosity and a genuine interest in emerging AI technologies and modern backend architectures.

Skills

• Python
• FastAPI
• LLM APIs (OpenAI, Anthropic, Qwen, OSS)
• LiteLLM
• Qdrant
• PostgreSQL
• ElasticSearch
• Langfuse
• Kubernetes
• GitHub Actions
• ArgoCD

Location

• Remote

Work Type

• Remote

Experience Level

• 5+ years of experience as a Software Engineer

Education Level

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

Benefits

• Flexible, trust-oriented culture
• Ownership of roles
• Innovation-driven environment
• Team player opportunities
• Balance of productivity and self-care
• Vibrant and dynamic work environment
• Multitude of benefits

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 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.
• We believe in balancing productivity with self-care.
• 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.