AI Agent Engineer
binance
Job Summary
Binance, a leading global blockchain ecosystem, is seeking an experienced AI Agent Engineer to design, develop, and optimize intelligent AI agents capable of autonomously performing complex tasks. The role involves creating autonomous systems that reason, plan, and execute actions to solve real-world problems. Responsibilities include designing AI agent architectures, developing frameworks for interaction with tools and APIs, creating human-AI collaboration mechanisms, optimizing agent performance, building monitoring systems, integrating agents into products, and staying updated on AI agent technology research. The ideal candidate will have a strong background in AI/ML systems with a focus on autonomous agents, proficiency in Python and Golang, experience with large language models and prompt engineering, and knowledge of agent frameworks like LangGraph or AutoGen.
Must Have
- 3+ years of experience in AI/ML systems
- Focus on autonomous agents
- Strong Python and Golang programming skills
- Experience with LLMs and prompt engineering
- Knowledge of agent frameworks (LangGraph, AutoGen)
- Understanding of RL, planning, and decision-making
- Familiarity with agent deployment tools/APIs
- Experience with workflow orchestration
- Excellent problem-solving skills
- Strong communication skills
Good to Have
- Experience with production-grade AI agents
- Background in cognitive architectures
- Knowledge of AI safety and alignment
- Experience with RAG systems
- Familiarity with agent evaluation frameworks
- Contributions to open-source agent projects
- ACM, NOI competition winners
Perks & Benefits
- Shape the future with the world's leading blockchain ecosystem
- Collaborate with world-class talent
- Tackle unique, fast-paced projects with autonomy
- Thrive in a results-driven workplace
- Opportunities for career growth and continuous learning
- Competitive salary and company benefits
- Work-from-home arrangement
Job Description
Responsibilities
- Design and implement AI agent architectures that can understand user requests, reason through complex problems, and execute multi-step plans
- Develop frameworks for AI agents to interact with various tools, APIs, and services
- Create mechanisms for effective human-AI collaboration, including clarification, feedback, and guidance
- Optimize agent performance for reliability, accuracy, and efficiency
- Build monitoring and evaluation systems to assess agent performance and identify areas for improvement
- Collaborate with cross-functional teams to integrate agents into products and workflows
- Stay current with the latest research and developments in AI agent technology
Qualifications
- Bachelor’s or Master’s degree in Computer Science, AI, or related field
- 3+ years of experience building AI/ML systems, with a focus on autonomous agents
- Strong programming skills, particularly in Python,Golang
- Experience with large language models (e.g., GPT, Claude, Gemini) and prompt engineering
- Knowledge of agent frameworks such as LangGraph, AutoGen, or similar technologies
- Understanding of reinforcement learning, planning algorithms, and decision-making systems
- Familiarity with tools, APIs, and infrastructure needed for agent deployment
- Experience with workflow orchestration and system design
- Excellent problem-solving and analytical thinking skills
- Strong communication and collaboration abilities
- Experience developing production-grade AI agents that operate in real-world environments
- Background in cognitive architectures or symbolic reasoning systems
- Knowledge of safety and alignment techniques for AI agents
- Experience with retrieval-augmented generation (RAG) systems
- Familiarity with autonomous agent evaluation frameworks
- Contributions to open-source agent projects or research
- Winners of ACM, NOI and other algorithm competitions