A SaaS? control plane for designing, orchestrating, and evaluating LLM?-powered agent workflows across enterprise tools.
Added Jun 10, 2026
Medium opportunity (60%)
Companies are hiring for agent frameworks, prompt engineering, tool calling, RAG? pipelines, and orchestration expertise because building reliable agentic AI systems still requires scarce specialist talent. Teams struggle to translate business workflows into production-ready AI automations with measurable quality, safe tool use, and repeatable evaluation.
AgentFlow provides a visual and code-friendly workspace to map business workflows into agent graphs, connect tools and RAG? pipelines, manage prompts, and run evaluations before deployment. It gives engineering and transformation teams reusable orchestration templates, tool-calling controls, trace logs, and regression tests for LLM?-based applications.
Job postings across Apple, LangChain, ByteDance, Hippocratic AI, Disco, and others show that agent orchestration has moved from experimentation into infrastructure hiring. Enterprises now need repeatable platforms rather than bespoke agent builds for every workflow.
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You can translate the industry patterns into the emerging AI Agent observability domain, including agentic workflows, LLM spans, experiments, evaluations, and prompt templates You build deep context across teams and translate it into reusable, scalable solutions
Build, configure, and troubleshoot data connectors, pipelines, and AI agent workflows inside client environments Work directly with Forge, Lattice, and Stratum — our agent framework, orchestration layer, and semantic intelligence system
Design and build the architecture for AI agent workflows — planning loops, tool use, memory, retrieval, and human-in-the-loop checkpoints Evaluate, integrate, and fine-tune foundation models and LLM APIs for specific enterprise use cases and data types
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