Senior AI Engineer at Workato
Listed by DevShelfHub
About the Role
Workato is hiring a Senior AI Engineer on its Enterprise Retrieval team in Hyderabad. You will build the retrieval layer that powers enterprise AI agents — stitching together Salesforce, Zendesk, Jira, SharePoint, and more into ranked, permission-aware responses.
Workato delivers enterprise infrastructure for the agentic era, trusted by 50% of the Fortune 500.
What you'll do
- Build unified retrieval layer across enterprise systems with agent-friendly interface
- Design hybrid retrieval pipelines with smart re-ranking for cross-source results
- Engineer incremental sync pipelines with low latency and predictable cost
- Ensure permission-aware retrieval mirroring source-system ACLs exactly
- Build query understanding — intent parsing, entity linking, LLM-assisted rewriting
- Design chunking and embedding strategies for docs, tickets, conversations, records
- Build evaluation and experimentation harnesses for retrieval and agent answers
- Ship observable production systems with strong SLOs and dashboards
- Mentor teammates on retrieval architecture and evaluation rigor
What we're looking for
- 3-5 years building production search, retrieval, knowledge-base, or recommendation systems
- Strong proficiency in Python, Go, Java, or similar backend language
- Hands-on experience with OpenSearch, Elasticsearch, Solr, or Vespa
- Solid IR fundamentals: TF-IDF, BM25, learning-to-rank, query parsing, relevance evaluation
Skills & Technologies
Required
Benefits & Perks
- Health Insurance
- Flexible Leave Policy
- Learning Budget
- EPF / NPS
Why This Role is Good for Experienced Professionals
- Go deep on retrieval quality where classical IR, dense vectors, knowledge graphs, and LLM reasoning collide.
- Build unified retrieval layer across Google Drive, SharePoint, Confluence, Jira, Salesforce, and more
- Design hybrid pipelines combining BM25, dense vector, and structured retrieval
- Engineer ingestion and freshness pipelines for millions of documents and records
- Own permission-aware retrieval (ACL preservation) across enterprise systems
- Build query understanding for agents — intent parsing, entity linking, query rewriting
- Design chunking and embedding strategies per content type
- Build evaluation harnesses — NDCG, MRR, recall@k, faithfulness, citation accuracy
- Ship production-grade systems with SLOs on latency, freshness, recall, and cost
- Hands-on Senior IC role with direct enterprise impact
- Flexible, trust-oriented culture with innovation focus
About Workato
- Industry
- Technology
- Company Size
- 500+
- Website
- workato.com
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Job Details
- Type
- Full time
- Level
- Mid-level
- Experience
- 3–5 years
- Location
- Hyderabad, India
- Work Mode
- Hybrid
- Category
- AI / ML
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