01
Resilient stateful agent workflow orchestration
All three roles need services that preserve state across multi-step or long-running work and recover correctly from failures. This is the central backend skill separating conventional request-response web services from production agent systems.
See it in the job ad
“design stateful workflow orchestration for long-running agent tasks”Job post 1
“orchestrate multi-step, stateful agent workflows”Job post 2
“make stateful workflow orchestration resilient to failures, retries, and timeouts”Job post 3
02
Agent evaluation harnesses and success metrics
Production agent teams must measure whether an agent completed the intended task correctly, not merely whether its code executed. You need experience defining success criteria, building repeatable eval cases, and detecting behavioral regressions.
See it in the job ad
“build evaluation and observability pipelines that catch regressions before they ship”Job post 1
“evaluation harnesses that measure whether an agent actually succeeded, not just whether it ran without throwing”Job post 2
“write the tests and eval suites that prove an agent's output is trustworthy before it reaches real users”Job post 3
03
Agent observability, tracing, and production debugging
Agent behavior spans multiple model calls, tools, and state transitions, so ordinary request logs are insufficient. You need traces and structured telemetry that make failures and unexpected decisions diagnosable in production.
See it in the job ad
“Experience with LLM eval frameworks, tracing, or retry and timeout semantics is a strong plus.”Job post 1
“instrument everything with observability so we can debug agent behavior in production”Job post 2
“you'll add agent evaluation and observability”Job post 3
04
Safe tool-use APIs and permission enforcement
Agents can cause real side effects through tools. A backend agent engineer must constrain available actions, validate inputs, enforce permissions, and prevent unsafe execution rather than relying on model instructions alone.
See it in the job ad
“harden tool-use safety so agents can't take unsafe actions”Job post 1
“expose tool-use APIs with strict safety and permission checks”Job post 2
“write tool-use safety guards”Job post 3
05
Automated integration testing for agent systems
Your profile does not list automated or integration testing as a current strength, while every post expects evidence that workflows, failure handling, and agent outputs remain reliable. This testing foundation also supports the higher-level evaluation work.
See it in the job ad
“write rigorous integration tests”Job post 1
“with heavy automated testing”Job post 2
“you'll write the tests and eval suites”Job post 3
06
Agent state and trace data modeling in PostgreSQL
General PostgreSQL experience transfers, but agent platforms require a specialized model for workflow state, steps, attempts, tool calls, outputs, and traces. Learning this lets you turn your existing database skill into evidence directly relevant to agent infrastructure roles.
See it in the job ad
“you'll model agent state and traces in PostgreSQL”Job post 1
“Our stack is TypeScript, Node.js, and PostgreSQL”Job post 2
“against a PostgreSQL data model”Job post 3
Nothing invented. Every gap cites the posting it came from.
