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AgentForge: LLM Workflow Reliability Platform
8 Signals

AgentForge: LLM Workflow Reliability Platform

A development and observability platform for building, testing, and hardening LLM-powered agent workflows against real-world data failures.

Added May 24, 2026

Job Ads
Developer Tools
AI Infrastructure
LLMOps
Opportunity Score
Opportunity: Medium (70%)
Evidence Strength
Vol: 100%
Urg: 50%
Spec: 100%
Market Analysis
high
$ high
$5B+ (enterprise AI tooling and LLMOps market)
The Problem

Engineering teams are increasingly building LLM-powered agents and multi-agent workflows, but these systems consistently break when they encounter messy, real-world data and production edge cases. Developers lack robust tooling to identify where LLMs fail against real data, debug agent decision paths, and reliably orchestrate tool-using workflows in production.

Potential Solution

AgentForge provides a unified platform for designing, testing, and monitoring LLM agent workflows with built-in failure detection against real data inputs. It includes agent orchestration primitives, RAG pipeline testing, support for agent-to-agent (A2A) protocols, and observability dashboards that surface where LLMs break so engineers can harden workflows before deployment.

Why Now?

Major enterprises across data, security, fintech, and observability are simultaneously hiring engineers to build production agent workflows, but tooling for reliability and debugging at the agent layer remains immature relative to demand.

Showing 1-20 of 20 signals

Senior Software Engineering - Azure Monitor
microsoftJul 28, 2026

•   Architect, design, and build high-performance agents covering LLM and agent orchestration, tool use, grounding and retrieval, evaluation and system reliability, safety, latency and cost.

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Senior Software Engineer, AI Agent & LLM
otter-aiJul 23, 2026

Diagnose failures across models, prompts, retrieval, tools, data pipelines, backend services, and product workflows. Build shared agent infrastructure for orchestration, tracing, debugging, retries, sandboxed execution, and observability.

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Senior Software Engineer(AI & LLM) - 12 Months Contract - up to SGD12k -
morgan-mckinley-pte-ltd-200503018eJul 22, 2026

Advanced Automation: Convert human review procedures into LLM-as-judge, multi-turn, trajectory, and deterministic evaluators to eliminate manual testing. Observability & Tracing: Instrument distributed agent systems using OpenTelemetry across Go/Python services and Temporal workflows to ensure flawless debugging data.

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Software Engineer (AI Systems)
jac-recruitment-pte-ltd-198700615wJul 16, 2026

·        Integrate LLMs, memory systems, vector databases, and external tools into production applications. ·        Design agent workflows capable of planning, tool usage, failure handling, and recovery.

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Senior Research Engineer, ARTC
a-star-research-entities-199702110hJun 30, 2026

Develop orchestration workflows involving LLMs, tool usage, memory, and multi-agent coordination Ensure reliability, observability, and maintainability of deployed applications and services

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+17 more signals