A SaaS? platform that connects LLM? agents to internal APIs?, databases, and SaaS? tools with testing, permissions, and production monitoring built in.
Added Jun 5, 2026
High opportunity (79%)
Companies are moving from simple LLM? features to agentic workflows that take actions inside real products and internal systems. Engineering teams struggle to safely orchestrate tool calling, RAG?, framework-specific agents, API? access, evaluation, and production reliability across heterogeneous stacks.
Provide a control plane for building and operating agentic workflows across LangChain, LangGraph, CrewAI, direct LLM? APIs?, internal APIs?, databases, and third-party SaaS? tools. The product would offer managed connectors, permission scopes, test harnesses, evals, trace logs, rollback controls, and production monitoring for autonomous actions.
Multiple companies are hiring specifically for production LLM? agents, tool/function calling, and AI workflow integration, indicating the work has moved beyond experiments into product and platform infrastructure needs.
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Design and operate shared platform capabilities for LLM and agentic workloads, including model access, prompt and configuration lifecycle, retrieval, tool integration, state management, and workflow orchestration.
Agentic integration for ML: design and integrate agentic workflows (LLM based agents, tool calling pipelines) alongside traditional ML models; build the observability, guardrails and evaluation frameworks needed to run agentic systems reliably in production; explore how agents can automate parts of the ML lifecycle itself (monitoring, triage, retraining decisions).
Lead the development of agent fleets to model complex business processes in Langchain. Develop APIs and workflows that integrate AI and LLM frameworks with business systems.
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