About the Role
We are looking for an AI Agent Engineer to join our team as part of Tech Seeds 2026. This is an engineering-first role for someone who wants their work to have real-world impact — not just demos, but agent systems that ship. You will work alongside senior engineers to design and build AI agents, workflows, and internal AI systems that improve our products and operational efficiency. This role is especially suited for candidates who are curious, fast learners, and excited to build practical AI systems in production. Production agent design today is typically centered on clear tool integration, strong instructions, safe execution, and iterative rollout, rather than purely academic model work.
What You'll Do
- Design and build AI agent workflows and LLM-powered systems for real business use cases
- Develop and integrate tools for agents, including APIs, internal services, databases, knowledge sources, and operational systems
- Improve agent quality, latency, reliability, safety, and cost through testing, evaluation, and iteration
- Build prompt structures, orchestration logic, memory or retrieval patterns, and human handoff flows where needed
- Collaborate with product, business, and operations teams to translate ambiguous business problems into practical AI solutions
- Contribute to backend services, internal platforms, and lightweight interfaces to support end-to-end delivery
- Help define reusable engineering patterns, guardrails, and evaluation approaches for production AI agents
What We're Looking For
- Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Science, Mathematics, or a related field
- 0–3 years of software engineering, AI engineering, or relevant internship/project experience
- Strong programming fundamentals in Java or Python, TypeScript, or backend development is a plus
- Good software engineering judgment, including APIs, debugging, system design, and data handling
- Strong curiosity about LLMs, AI agents, tool use, retrieval, evaluation, and production AI systems
- Ability to learn new domains quickly and work effectively in ambiguous environments
- Ability to read, understand, and improve AI-generated code, or learn to do so very quickly
- Good communication skills and the ability to connect technical work to business value
- Personal projects, hackathons, or internships involving LLM apps, AI agents, RAG, automation, or internal tools
- Familiarity with OpenAI APIs, Anthropic APIs, vector databases, agent frameworks, or orchestration tools
- Experience with backend systems, cloud environments, observability, or production support
- Exposure to fintech, crypto, customer support systems, operations workflows, or risk/compliance processes
What Makes You a Fit for Tech Seeds 2026
You are self-driven, AI-native, and practical. You learn fast, like solving real problems, and are excited to turn new ideas into working systems. You do not wait to be told every step: you explore, test, iterate, and improve.
Skills Required
- Bachelor's or Master's degree in Computer Science, Software Engineering, Data Science, Mathematics, or related field
- 0-3 years of software engineering, AI engineering, or relevant internship/project experience
- Strong programming fundamentals in Java or Python
- TypeScript
- Good software engineering judgment including APIs, debugging, system design, and data handling
- Strong curiosity and knowledge of LLMs, AI agents, tool use, retrieval, evaluation, and production AI systems
- Ability to read, understand, and improve AI-generated code
- Good communication skills and ability to connect technical work to business value
- Personal projects, hackathons, or internships involving LLM apps, AI agents, RAG, automation, or internal tools
- Familiarity with OpenAI APIs, Anthropic APIs, vector databases, agent frameworks, or orchestration tools
- Experience with backend systems, cloud environments, observability, or production support
- Exposure to fintech, crypto, customer support systems, operations workflows, or risk/compliance processes
Binance Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Binance and has not been reviewed or approved by Binance.
-
Career-Linked Recognition & Rewards — Performance-linked bonuses can be sizable in favorable crypto cycles, lifting total compensation. Attractive packages in engineering and specialized roles indicate strong rewards for in-demand skills.
-
Flexible Benefits — Remote-first flexibility and work-from-anywhere options add meaningful value to the overall rewards package. Flexible schedules and location independence are presented as core perks.
-
Retirement Support — Binance.US includes a 401(k) as part of its benefits. This provides a conventional retirement pillar alongside cash and bonus components.
Binance Insights
What We Do
Binance is the world’s leading blockchain and cryptocurrency infrastructure provider with a financial product suite that includes the largest digital asset exchange by volume. Trusted by millions worldwide, the Binance platform is dedicated to increasing the freedom of money for users, and features an unmatched portfolio of crypto products and offerings, including: trading and finance, education, data and research, social good, investment and incubation, decentralization and infrastructure solutions, and more. For more information, visit: https://www.binance.com
