Mô Tả Công Việc
Design and improve LLM-powered agents for task planning, execution, retrieval, and memory.
Build modular agent stacks using frameworks like LangChain, CrewAI, AutoGen, or custom orchestrators.
Develop workflows that connect agents to APIs, computer vision models, and vector databases.
Lead prompt engineering, RAG pipelines, and multi-agent coordination strategies.
Collaborate with engineers to productionize agents with proper observability.
Evaluate agent behavior through logging, telemetry, and custom evaluation tools.
Contribute to architecture patterns such as task workflows, tool interfaces, memory optimization, and feedback handling.
Work with infrastructure teams to deploy agentic systems to production, ensuring monitoring, scaling, and rollback safety.
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Yêu Cầu Công Việc
Must-Have Skills
2+ years building LLM-driven applications.
Strong Python skills with experience in reusable agent stacks or RAG pipelines.
Hands-on with LLM APIs (OpenAI, Anthropic, HuggingFace, etc.) and building prompt/tool workflows.
Experience integrating vector databases (Weaviate, FAISS, Qdrant, Pinecone, Elasticsearch).
Familiarity with multi-agent orchestration (CrewAI, AutoGen, LangGraph, or custom).
Experience shipping AI tools or services into production with containerization and cloud platforms (Docker, Kubernetes, GCP/AWS).
Understanding of agent design (memory management, context management, tool contracts).
Bonus Skills
Experience with agent evaluation, prompt testing, and reducing hallucinations/latency.
Experience building simple interfaces with Streamlit, Gradio, or browser automation.
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Hình thức
Full-time
Mức lương
Thỏa thuận
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