Binance Accelerator Program - Applied AI Agent Engineer (Top Talent Program)

Binance; Australia; Remote; AUD 39,000 - 55,000; Full time

Benefits offered by this job

Remote-first

Competitive salary

Career growth

Job summary

Binance is offering the Accelerator Program for an Applied AI Agent Engineer intern. You will work at the intersection of LLMs and production systems, shipping code, building agent workflows, tool integrations, and backend services from day one.

Ideal candidates are current university students or recent graduates who can commit six months full-time, enjoy fast-paced, hands-on development, and are eager to turn AI ideas into practical systems used in the real world.

Qualifications

• Currently pursuing a Bachelor's or Master's degree in Computer Science, Software Engineering, Data Science, or a related field.
• Expected graduation in 2026 or 2027.
• Solid programming skills in Python or Java; familiarity with backend engineering is preferred.
• Good problem-solving ability and comfort working with APIs, debugging, and data.

Responsibilities

• Support the design and development of AI agent workflows and LLM-powered application components.
• Build and test prompt strategies, retrieval flows, tool-use logic, orchestration patterns, and backend integrations.
• Assist in defining evaluation metrics, running benchmarks, and analyzing failure cases.
• Improve system performance across quality, latency, reliability, safety, and cost.
• Use AI coding tools as a normal part of your workflow to accelerate development and problem-solving.
• Collaborate with engineers and cross-functional teams to understand how production AI systems are designed, deployed, and improved.
• Contribute to Backend services, APIs, internal tools, or lightweight user interfaces when needed.

Skills

Python

Java

APIs

LLMs

Education

Bachelor’s or Master’s in CS/SE/DS

Tools

Git

Databases

Cloud platforms

OpenAI APIs

Job description

Binance Accelerator Program - Applied AI Agent Engineer (Top Talent Program)

Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by 300+ million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, and more. Our mission is to increase the freedom of money and financial access for people around the world.

About the Role
This internship is part of Tech Seeds 2026 — our program to identify and develop AI-native young talent. As an Applied AI Agent Engineer intern, you will take on a hands‑on builder role at the intersection of LLMs and production systems, working alongside full‑time engineers on agent workflows, tool integrations, backend services, and AI system architecture from day one.
This is not a shadowing role. You will own deliverables, run experiments, and ship code that matters.

What Makes You a Fit for Tech Seeds 2026
You are curious, proactive, and builder‑minded. You already experiment with AI tools on your own, learn quickly, and want to turn AI ideas into practical systems that work in the real world.
Learn about BAP ProgramHERE
Who may apply
Current University students and recent Graduates who can commit at least 6 months tenure, 5 days per week
Responsibilities:

• Support the design and development of AI agent workflows and LLM‑powered application components
• Build and test prompt strategies, retrieval flows, tool‑use logic, orchestration patterns, and backend integrations
• Assist in defining evaluation metrics, running benchmarks, and analyzing failure cases
• Improve system performance across quality, latency, reliability, safety, and cost
• Use AI coding tools as a normal part of your workflow to accelerate development and problem‑solving
• Collaborate with engineers and cross‑functional teams to understand how production AI systems are designed, deployed, and improved
• Contribute to Backend services, APIs, internal tools, or lightweight user interfaces when needed

Requirements:

• Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Science, or a related field
• Expected graduation in 2026 or 2027
• Solid programming skills in Python or Java; familiarity with backend engineering is preferred
• Good problem‑solving ability and comfort working with APIs, debugging, and data
• Strong curiosity about LLMs, AI agents, automation, and real‑world system design
• Ability to break down ambiguous problems and move from idea to working prototype
• Comfortable learning quickly and working in a fast‑moving environment
• Available for a 6‑month full‑time commitment

Bonus:

• Personal projects or coursework involving LLM applications, agent systems, automation, or AI‑assisted development
• Familiarity with OpenAI APIs, Anthropic APIs, Hugging Face, LangChain, vector databases, or workflow tools
• Experience with Git, databases, backend services, or cloud platforms

Why Binance

• Shape the future of finance
• Collaborate with world‑class talent in a user‑centric global organization with a flat structure
• Tackle challenging projects in a fast‑paced and innovative enviornment with autonomy
• Thrive in a results‑driven workplace with opportunities for career growth and continuous learning
• Competitive salary and company benefits
• Remote‑first, work‑from‑home arrangement (may vary depending on the nature of the role and team)

Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.