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AI Agent Engineer

F

Flamingo Recruitment

Part-time
Remote

AI Agent Engineer

Work Arrangement: Remote


Key Responsibilities:

1. Design, develop, and implement AI Agent solutions to support business operations and automate complex workflows.

2. Build and optimize AI Agent systems using popular frameworks and technologies such as LangChain, LangGraph, AutoGen, CrewAI, or similar tools.

3. Develop multi-agent systems, including agent orchestration, task planning, tool calling, memory management, and workflow coordination.

4. Integrate Large Language Models (LLMs), external APIs, databases, and third-party tools into AI Agent applications.

5. Optimize agent performance, including response accuracy, execution efficiency, token consumption, latency, and overall system reliability.

6. Develop and improve RAG (Retrieval-Augmented Generation) systems, knowledge bases, and context management mechanisms.

7. Conduct testing, debugging, and continuous improvement of AI Agent applications to ensure stability, scalability, and production readiness.

8. Collaborate with cross-functional teams to understand business requirements, propose AI-driven solutions, and deliver practical applications.


Requirements:

1. Bachelor's degree or above in Computer Science, Software Engineering, Artificial Intelligence, or a related discipline.

2. Solid experience in AI Agent development, with practical knowledge of major AI Agent frameworks and development technologies.

3. Strong programming skills in Python or other relevant programming languages, with experience in API integration and backend development.

4. Good understanding of LLMs, prompt engineering, RAG, function calling, agent orchestration, and multi-agent architectures.

5. Experience in optimizing AI Agent performance, including accuracy, efficiency, cost control, and system reliability.

6. Workable English communication skills, with the ability to discuss technical requirements, collaborate with international teams, and work independently in a remote environment.

7. Candidates with hands-on experience developing, deploying, and optimizing production-level AI Agent applications will be highly preferred. Experience with emerging AI Agent frameworks and AI-powered automation solutions is an advantage.