Company Overview Docusign brings agreements to life. Over 1.5 million customers and more than a billion people in over 180 countries use Docusign solutions to accelerate the process of doing business and simplify people’s lives. With intelligent agreement management, Docusign unleashes business-critical data that is trapped inside of documents. Until now, these were disconnected from business systems of record, costing businesses time, money, and opportunity. Using Docusign’s Intelligent Agreement Management platform, companies can create, commit, and manage agreements with solutions created by the #1 company in e-signature and contract lifecycle management (CLM). What you'll do As an AI agentic Engineer on the End User Services team, you will help build the next wave of automation in Docusign's IT operations. This role is a unique blend of AI tinkering and foundational IT automation. Your primary focus will be designing, building, and continuously evaluating AI agents and automation workflows that make our internal IT operations faster, more reliable, and easier for our employees to use. You don't need to be a senior architect to succeed here. We are looking for a curious, builder-minded engineer who loves tweaking AI prompts, structuring agentic tools, and connecting enterprise platforms. We prioritize an “out-of-the-box (OOTB) first” approach - leveraging native platform capabilities in tools like ServiceNow - while stepping in to build custom integrations (like Python scripts or REST APIs) when needed. If you love experimenting with LLMs, making systems talk to each other, and solving puzzles, this is the role for you. This position is an individual contributor role reporting to the Director, IT Operations. Responsibility Design, structure, and refine AI prompts and agent/tool structures Drive continuous evaluations of these agents to tweak and improve their accuracy and performance over time Assist in developing and deploying agentic AI solutions that help autonomously resolve common IT tickets, triage requests, or guide users to resolutions Build and maintain integrations between core systems (ServiceNow, Okta, Slack, Zoom, Google Workspace) using native connectors, webhooks, and custom APIs Help the team decide when to use native platform workflows versus building custom scripted services (Python/PowerShell) to meet our goals Learn and apply "Zero Trust" principles, ensuring our automated actions use least-privilege access and are securely logged Work alongside a variety of teams, including Security, and EUS Engineering to map out user friction points and turn them into automated self-service solutions Job Designation Hybrid: Employee divides their time between in-office and remote work. Access to an office location is required. (Frequency: Minimum 2 days per week; may vary by team but will be weekly in-office expectation) Positions at Docusign are assigned a job designation of either In Office, Hybrid or Remote and are specific to the role/job. Preferred job designations are not guaranteed when changing positions within Docusign. Docusign reserves the right to change a position's job designation depending on business needs and as permitted by local law. What you bring Basic 3+ years of experience in IT operations, automation, scripting, or backend development Bachelor’s degree in a related field Experience writing and troubleshooting code in Python (or a similar language) and working with REST APIs and webhooks Experience working with Large Language Models (LLMs), prompt engineering, or agentic frameworks Experience with modern SaaS and enterprise platforms (like Google Workspace, Slack, Jira, etc.) Preferred Familiarity with building or testing multi-agent frameworks Experience with IT service management or ticketing systems (like ServiceNow, Jira) Basic understanding of Retrieval-Augmented Generation (RAG) pipelines and vector databases Exposure to cloud environments (AWS, Azure, or GCP) and basic DevOps/CI/CD practices A track record of identifying a manual process and writing a script/tool to automate it Life at Docusign Working here Docusign is committed to building trust and making the world more agreeable for our employees, customers and the communities in which we live and work. You can count on us to listen, be honest, and try our best to do what’s right, every day. At Docusign, everything is equal. We each have a responsibility to ensure every team member has an equal opportunity to succeed, to be heard, to exchange ideas openly, to build lasting relationships, and to do the work of their life. Best of all, you will be able to feel deep pride in the work you do, because your contribution helps us make the world better than we found it. And for that, you’ll be loved by us, our customers, and the world in which we live. Accommodation Docusign is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need such an accommodation, or a religious accommodation, during the application process, please contact us at accommodations@docusign.com. If you experience any issues, concerns, or technical difficulties during the application process please get in touch with our Talent organization at taops@docusign.com for assistance. Applicant and Candidate Privacy Notice #LI-Hybrid #LI-IC1
AI Agentic Engineer
DocuSign · Enterprise · Dublin, Ireland · IT Infrastructure & Operations
AI Agentic Engineer role focused on building and evaluating AI agents and automation workflows for IT operations, integrating enterprise platforms, and scripting custom solutions. Requires experience with LLMs, prompt engineering, and Python, with a preference for multi-agent frameworks and RAG.
What you'd actually do
- Design, structure, and refine AI prompts and agent/tool structures
- Drive continuous evaluations of these agents to tweak and improve their accuracy and performance over time
- Assist in developing and deploying agentic AI solutions that help autonomously resolve common IT tickets, triage requests, or guide users to resolutions
- Build and maintain integrations between core systems (ServiceNow, Okta, Slack, Zoom, Google Workspace) using native connectors, webhooks, and custom APIs
- Help the team decide when to use native platform workflows versus building custom scripted services (Python/PowerShell) to meet our goals
Skills
Required
- 3+ years of experience in IT operations, automation, scripting, or backend development
- Experience writing and troubleshooting code in Python (or a similar language)
- Experience working with REST APIs and webhooks
- Experience working with Large Language Models (LLMs), prompt engineering, or agentic frameworks
- Experience with modern SaaS and enterprise platforms (like Google Workspace, Slack, Jira, etc.)
Nice to have
- Familiarity with building or testing multi-agent frameworks
- Experience with IT service management or ticketing systems (like ServiceNow, Jira)
- Basic understanding of Retrieval-Augmented Generation (RAG) pipelines and vector databases
- Exposure to cloud environments (AWS, Azure, or GCP) and basic DevOps/CI/CD practices
- A track record of identifying a manual process and writing a script/tool to automate it
What the JD emphasized
- AI agents
- automation workflows
- LLMs
- prompt engineering
- agentic tools
- enterprise platforms
- Python
- REST APIs
- webhooks
- multi-agent frameworks
- RAG
- vector databases
Other signals
- AI agents
- automation workflows
- LLMs
- prompt engineering
- agentic tools
- enterprise platforms