Senior AI Engineer (Search/Retrieval)
Quick Summary
Build a unified retrieval layer across enterprise systems — Google Drive, SharePoint, Confluence, Jira, Asana, Zendesk, Freshdesk, Salesforce, Notion, and more — exposing a clean,
TF-IDF, BM25, learning-to-rank, query parsing, and relevance evaluation. Working experience
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
What We Offer
~1 min readUltimately, 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!
Also, feel free to check out why:
Responsibilities
~1 min readAs a Senior Software Engineer on our Enterprise Retrieval team, you’ll help build the retrieval layer that powers enterprise AI agents at Workato. Your work will let an agent answer “what’s the status of the Acme renewal?” by stitching together a Salesforce opportunity, a call summary, the latest Zendesk ticket, a Jira blocker, and a SharePoint contract — all in one ranked, permission-aware response.
This is the kind of problem where classical Information Retrieval, dense vector retrieval, knowledge graphs, and LLM-driven reasoning all collide. You’ll work across heterogeneous content (docs, tickets, tasks, CRM records, call transcripts, chat threads), heterogeneous permissions (every source has its own ACL model), and very real freshness constraints (yesterday’s answer is often wrong).
It’s a hands-on Senior IC role for someone who wants to go deep on retrieval quality and see their work directly shape how thousands of enterprises put AI agents to work.
In this role, you will also be responsible to:
- →
Requirements
~1 min readLocation & Eligibility
Listing Details
- Posted
- May 21, 2026
- First seen
- May 21, 2026
- Last seen
- May 21, 2026
Posting Health
- Days active
- 0
- Repost count
- 1
- Trust Level
- 61%
- Scored at
- May 21, 2026
Signal breakdown

Our founding team helped build some of the earliest integration platforms. Now they have reimagined Integration and Automation to enable companies to tap into the growth mindset and transform their organization with Workato.
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