Senior Automation Engineer (Python, AI Agents & Automation)
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About this role
At Precisely, we're not just building software — we're shaping the future of data integrity. As a global leader in data quality, data enrichment, and location intelligence, Precisely helps thousands of the world's most trusted brands make confident decisions with data they can rely on. We're an AI-first organization, which means artificial intelligence isn't a buzzword here — it's woven into how we build products, how we work, and how we think about solving complex problems for our customers. When you join Precisely, you join a team of curious, driven innovators who believe that better data makes the world run better. If you're ready to do meaningful work at the intersection of AI and data — and help define what's possible — we'd love for you to apply!
This position is 100% remote anywhere in the US
Overview: Senior Automation Engineers at Precisely design, build, and scale automation that connects tools, systems, and teams across globalization and user assistance operations. As a senior member of a global team, you work closely with engineers, information developers, localization specialists, DevOps, and other cross-functional stakeholders in an Agile, agentic-first environment. You lead the design and evolution of automation frameworks, reduce manual effort at scale, improve system reliability, and enable end-to-end workflows through API integrations, scripting, CI/CD, and AI-enabled automation.
What you will do:
- Lead the design and implementation of automation supporting workflows across the documentation and software development lifecycle, including content creation, validation, publishing, UI localization, translation, and delivery.
- Design, build, and operate production-grade agents, skills, scripts, and automation pipelines that replace complex, manual, and repetitive processes across documentation, localization, and language operations.
- Architect and integrate systems across documentation, localization, and content platforms using MCPs and REST APIs to enable reliable, scalable, and secure end-to-end workflows.
- Apply AI and LLM-based capabilities to generate, validate, transform, enrich, and manage content in alignment with approved security, privacy, and compliance standards.
- Own the reliability, performance, and maintainability of automation systems through monitoring, troubleshooting, and continuous improvement.
- Define and contribute to standards, patterns, and reusable components that support consistent and scalable automation practices.
- Mentor team members through technical guidance, design reviews, and knowledge sharing.
- Partner cross-functionally to advance automation maturity, innovation, and AI-assisted documentation and localization workflows.
- Other duties may be assigned.
What we are looking for:
- BA/BS degree in computer science, engineering, information systems, or a related field, or equivalent practical experience.
- 5+ years of experience in automation engineering, software engineering, or systems integration, preferably supporting developer platforms, documentation, localization, or content operations.
- Strong proficiency in Python, with experience building maintainable, testable, production-grade automation and agent frameworks.
- Advanced experience with Git-based workflows such as GitHub, including pull requests, code reviews, and repository automation.
- Experience with work-tracking and planning tools such as Jira, Linear, or similar systems.
- Strong understanding of CI/CD concepts and tools such as GitHub Actions, GitLab CI, Jenkins, or Azure DevOps.
- Due to collaboration with global teams, flexibility in working hours (including late afternoon meetings) will be required.
AI Skills / Knowledge:
- Strong experience using AI-assisted engineering tools (e.g., GitHub Copilot, Cursor) with awareness of responsible AI practices including security, privacy, bias, and traceability.
- Proven ability to design and operate production automation using Python and REST APIs.
- Hands-on experience building and maintaining automation pipelines using Git-based CI/CD systems.
- Demonstrated experience integrating LLMs via APIs to automate documentation and language operations.
Preferred Skills:
- Experience designing or operating multi-agent or tool-orchestrated AI workflows at scale, including coordination and failure recovery.
- Experience owning or evolving shared automation frameworks used across multiple products or teams.
- Familiarity with observability, metrics, and cost tracking for AI-driven automation systems.
- Experience containerizing, deploying, or operating long-running automation or agent services in production environments.
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