2 months ago
Chennai, IndiaMid Level / Senior
Responsibilities
- Design and ship end-to-end agentic workflows with orchestration, retries, guardrails, and evaluation harnesses.
- Build evaluation loops that identify agent failures before production.
- Develop retrieval infrastructure, including indexing strategy, ranking, relevance tuning, and retrieval-quality diagnosis.
- Integrate MCP servers and APIs into agent-based system designs.
- Build systems for content synchronization, personalization, and efficient human review of AI-generated content.
- Partner throughout development with Product Management, Product Marketing, Support, enablement, and field teams.
Requirements
- 3–5 years of relevant software engineering experience with hands-on work building agentic AI systems, RAG pipelines, or similar retrieval-augmented applications.
- Experience designing modular, scalable AI agents across disparate data sources while avoiding technical debt.
- Experience mapping end-to-end agentic workflows and mitigating failure modes before production.
- Experience with search or retrieval infrastructure, including indexing, ranking, or relevance tuning.
- Familiarity with API integration and/or MCP server integration in agent-based systems.
- Ability to collaborate with non-engineering stakeholders and translate content needs into technical systems.
- Strong judgment regarding when AI output requires human review versus autonomous release.
- Experience in a fast-moving product company, content or documentation pipelines, developer enablement tooling, knowledge-management systems, code-documentation drift detection, or LLM-agent evaluation frameworks is preferred.
Categories
About Alation
Alation builds an enterprise data intelligence platform centered on a data catalog, lineage, and governance to power self-service analytics and AI readiness for large organizations. It sells subscription software and services to enterprises migrating to the cloud and standardizing trusted data for regulatory and operational use. Founded in 2012 and headquartered in Redwood City, California, the privately held company is credited with pioneering the data catalog category and is used across Fortune 100 and global enterprises.