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AgentFlow Reliability Workbench
36 Signals

AgentFlow Reliability Workbench

A developer platform for building, testing, and monitoring multi-step LLM agents, RAG pipelines, and tool-calling workflows.

Added May 31, 2026

AI Developer Tools
LLMOps
Workflow Automation
Opportunity score

High opportunity (77%)

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The Problem

Companies are hiring engineers who can build agentic LLM systems that go beyond simple API calls, including RAG, orchestration, tool use, and failure handling. These workflows are complex to design and maintain because prompts, retrieval, function calls, and multi-step reasoning all interact in production.

Potential Solution

AgentFlow Reliability Workbench would provide a SaaS environment to prototype agent workflows, connect tools and vector stores, run regression tests, and inspect failures across each reasoning step. It would help product and AI engineering teams validate prompts, RAG responses, tool calls, and orchestration logic before and after deployment.

Why Now?

Multiple companies are explicitly hiring for hands-on LLM, RAG, agent workflow, and AI-powered analytics experience, signaling that agentic AI systems are moving into production. As adoption grows, teams need reliability tooling rather than only model APIs and custom code.

Market validation
Search demand

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Competition (0)

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Showing 1-20 of 36 signals

Job adsSep 17, 2026
jump-trading
Research Engineer – AI Agents

Architect, build, and maintain LLM-powered and agent-based tools to streamline developer workflows and automate complex tasks Collaborate with core platform and infrastructure teams to identify use cases and deliver reliable, scalable solutions

Job adsSep 2, 2026
bytedance
AIOps R&D Engineer Graduate (Video and Edge) - 2027 Start

- Build and continuously improve intelligent Agents powered by Large Language Models (LLMs). Apply Prompt Engineering, RAG, MCP, Skills, multi-Agent orchestration, tool calling, and related techniques to intelligent fault diagnosis, root cause analysis, automated remediation, and intelligent customer service.

Job adsAug 28, 2026
lam-research
Senior AI Observability engineer

* Build agentic AI workflows using LLM agents, tool and function calling, and orchestration frameworks such as LangGraph, Semantic Kernel, AutoGen, or the Model Context Protocol, applied to autonomous fault detection, triage, and remediation.

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