Agent Dev Engineer (Full-Time/Intern) job opportunity at Flowith.

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Date2026-03-10T12:21:44.679Z bot
Flowith Agent Dev Engineer (Full-Time/Intern)
Experience: General
Pattern: Full-time
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degreeMaster's (M.A.)
loacation Shanghai, China
loacation Shanghai....China
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Role Overview You are the "Architect of Intelligence" at Flowith. In this role, you design the reasoning brains behind our product. You will bridge the gap between raw Large Language Models and complex, real-world workflows by building sophisticated AI Agents. Your mission is to evolve Flowith Agent , transforming static algorithms into dynamic partners that can reason, plan, and execute tasks alongside our users. Key Responsibilities Agent Core Development : Design and implement the core reasoning logic for Flowith Agents, enabling them to handle complex planning, tool invocation, and long-term memory management. Workflow Orchestration : Build and optimize multi-agent collaboration frameworks that allow AI to navigate the Flowith Canvas, interacting with various nodes and external APIs seamlessly. Evaluation & Optimization : Establish rigorous evaluation benchmarks for Agent performance. Systematically analyze "hallucinations" or reasoning failures and iterate on prompts and logic to ensure reliability. Tooling & Integration : Develop and maintain "skills" (tools) for Agents, expanding their capabilities to interact with the web, databases, and third-party SaaS platforms. Front-Frontier Exploration : Stay at the cutting edge of AI research (e.g., new model capabilities, agentic patterns) and rapidly prototype features that keep Flowith at the forefront of the AI-native era. You think in "Chain of Thought" and believe that everything can be augmented by a well-designed Agent. AI-Native Engineer : Proficient in Python and deeply familiar with the LLM ecosystem (OpenAI API, Claude, open-source models). Experience with frameworks like LangChain, LangGraph, or AutoGen is a strong plus. Prompt Engineering Master : You know that a prompt is more than just text—it’s a precision instrument. You have a proven track record of optimizing model performance through advanced prompting techniques. Full-Stack Sensibility : While focused on AI, you understand how to integrate Agents into modern web architectures. Experience with FastAPI, Node.js, or asynchronous programming is preferred. Problem Solver : Strong logical reasoning skills. You can decompose complex user requirements into executable "Tool-Use" or "Multi-Agent" workflows. Bonus : Experience in building RAG (Retrieval-Augmented Generation) systems, fine-tuning models, or a deep understanding of Vector Databases. For interns, a high-quality GitHub portfolio or AI-related project experience is highly valued.

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