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Senior Llm Engineer

**Job Target: Senior LLM / Agent Development Engineer (Remote)**

I am a developer specializing in large language model applications and multi-agent system architecture, with full-stack engineering capabilities to transform cutting-edge AI research into stable, high-performance products. I am seeking a **technically-driven, forward-challenging remote team** dedicated to solving core problems of LLMs and agents in real-world scenarios.

**I. Core Technical Stack & Capabilities**

**1. LLM Application & Agent Development:**
*   **Multi-Agent Frameworks:** Possess extensive experience in architecting and implementing multi-agent systems for production, with proficiency in:
    *   **CrewAI:** Skilled in building highly collaborative agent teams based on "role" division for automating workflows (e.g., content creation, market analysis).
    *   **AutoGen:** Expert in "conversation"-centric agent collaboration models, capable of designing and implementing complex multi-agent conversational systems, particularly suited for code generation and debugging scenarios.
    *   **LangGraph:** Deep understanding of its state-machine-based orchestration philosophy, enabling the construction of sophisticated workflows involving complex cycles, conditional logic, and persistent state.
    *   **CAMEL / Swarm Frameworks:** Familiar with their mechanisms for AI society simulation and decentralized collaboration, maintaining a comprehensive view of the multi-agent ecosystem.
*   **Core Component Development:**
    *   **RAG:** Proficient in end-to-end optimization from text chunking and embedding to retrieval. Skilled in using vector databases like **Chroma**, **Pinecone**, and **Weaviate**, and applying **rerank** models to enhance retrieval accuracy.
    *   **Agent Reasoning:** Deeply understand and practically apply reasoning frameworks like **ReAct**, **CoT**, and **ToT** to effectively improve agent planning and decision-making capabilities.
    *   **Tool Use:** Proficient in utilizing technologies like **OpenAI Function Calling** to enable agents to safely and reliably call external APIs, query databases, and execute code.

**2. Engineering & Full-Stack Perspective:**
*   **Programming Languages:** Proficient in **Python**, with experience building high-performance backend services using **FastAPI**/**Flask**.
*   **Model Layer:** Deep hands-on experience with closed-source model APIs like **GPT-4** and **Claude**, coupled with practical experience in local deployment, fine-tuning (**LoRA**), and inference optimization of open-source models like **Llama** and **Qwen**.
*   **Ops & Monitoring:** Skilled in containerized deployment using **Docker** and adept at leveraging tools like **LangSmith** for building observability, debugging, and performance evaluation of agent chains.

**3. Effective Remote Collaboration:**
*   Experienced in mature remote work practices, proficient in **Git** collaboration and **Agile** development methodologies, and skilled in efficient asynchronous communication via tools like **Slack** and **Notion**.
*   Possess strong self-motivation and a sense of project ownership. Capable of working independently on modules within a distributed team and driving projects forward through clear technical documentation and design docs.

**II. My Value & Expectations**

I am not merely content with calling APIs; I am eager to delve into the underlying technology to design and implement intelligent systems capable of autonomously achieving complex goals and possessing continuous learning abilities. I expect to join a team that shares a deep respect for technology, to jointly tackle ambitious challenges, such as:

*   Building "brain"-level virtual employees capable of replacing entire workflows.
*   Exploring cutting-edge applications of multi-agent systems in complex decision-making, simulation, and scientific research.
*   Creating industry-leading, highly reliable AI-Native products.

I am confident that my technical depth, engineering mindset, and proven remote collaboration skills can bring immediate and significant value to your team.


Experience: 5 years

Yearly salary: $10,000

Hourly rate: $165

Nationality: 🇨🇳 China

Residency: 🇨🇳 China


Experience

LLM Full Stack Developer
Accenture
2020 - 2024
The platform integrates various Azure technologies to facilitate conversational analysis and provide data insights for pharmaceutical R&D. Managed both frontend and backend DevOps, utilizing Azure ADF for data synchronization, Azure Storage Account for efficient data management, and Azure Function App for integrating core functionalities such as user management and report generation. Enhanced platform performance by leveraging open-source LLM frameworks like dbgpt and dify, and optimizing conversational data analysis efficiency through Azure AI Search.
LLM backend development engineer
Accenture
2020 - 2024
Developed a Chatbot-Agent framework tailored for aviation scenarios like ground handling and warehousing, leveraging DAG-based RAG pipelines for efficient and accurate interactions within 10 seconds. Responsible for implementing query clarification, intent recognition, and scenario-specific prompt design in a distributed architecture, enabling scalable, high-concurrency operations. Built automated pipelines to parse and update business knowledge bases, ensuring real-time alignment with dynamic business requirements.
LLM backend development engineer
Accenture
2020 - 2024
Developed a knowledge base management framework based on Airflow for a leading global technology service provider, aimed at addressing information loss and low Q&A accuracy throughout the RAG process of LLM. Responsible for integrating four key stages into the entire RAG process: Document reading and importing, Data type sorting, Information preprocessing, and Information post-processing. Implemented standardized document reading and importing procedures to streamline the handling of multiple document types, resolving tedious processes such as content checks and compliance verifications.

Skills

prompt
english