We're building a multi-agent orchestration platform for enterprise document and transaction processing. The technical core is durable orchestration — long-running workflows that pause for human approval for hours or days, recover from tool failures, and replan without losing state. Agents read unstructured documents, classify against complex taxonomies, and write into legacy systems through typed connectors spanning mainframe terminal emulation, EDI, and JDBC.
Everything is versioned and replayable: agent manifests, prompts, eval scores, and an immutable decision ledger that lets you reconstruct why any action was taken.
Identity is first-class. Every agent runs as its own authenticated service principal, not a shared credential, with scoped entitlements per connector method and per client. Access is brokered just-in-time on short-lived leases — agents never hold long-lived keys.
Nine business domains, roughly forty agents, phased from shadow mode to supervised autonomy.
Roles & Responsibilities
Build and own sub-agents: typed input/output schemas, versioned prompts, a constrained tool set, and a published success metric for each.
Design the orchestration layer — planning, replanning, tool-failure recovery, and handoff between supervisor and sub-agents.
Build the eval harness that decides when an agent is secure to promote from shadow to assisted to autonomous.
Work the two-tier model setup: a heavy model for judgment and classification, a lighter self-hosted tier for high-volume extraction and formatting.
Make age
📌 Senior Ai Engineer — Multi Agent Platform Bengaluru
🏢 HyrEzy Talent Solutions
📍 Bengaluru
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