Flowise AI Solution Architect

I’m ready to turn several high-impact ideas into production AI workflows on the Flowise platform and need a consultant who can own the process from design to deployment. You’ll be translating business needs into scalable chains built around large language models, Retrieval-Augmented Generation, document understanding and autonomous agents, then wiring those chains into the APIs and data sources that run the company. Here’s what the engagement looks like: • Discovery: refine requirements with product and engineering, propose Flowise-based architecture, select LLMs, vector stores and orchestration patterns. • Build: create reusable Flowise nodes and flows, craft prompts, set up RAG pipelines and agent logic, connect to REST/GraphQL endpoints, webhooks or middleware that surface data from our internal systems. • Integrate: authenticate against existing enterprise apps and databases, expose endpoints or UI components so business users can consume the new capabilities inside their daily tools. • Harden & deploy: add monitoring, logging, role-based access and fallbacks, then push to staging and production. • Transfer: deliver annotated flows, source files, environment configs and a short run-book so our in-house team can maintain and extend the solution. Acceptance criteria • Flows run end-to-end in our cloud environment with no manual intervention. • Response accuracy, latency and cost stay within agreed thresholds across a representative test set. • All code and configuration are version-controlled and documented. If you have shipped Flowise solutions that blend LLMs, RAG, agents, and robust API integrations, I’d like to see a short note on your approach and one or two links or screenshots that prove it. Let’s make AI actually work in the enterprise.

Project ID: 40422224