Binance Accelerator Program - Applied AI Application Engineer
Jobicy is hiring a Binance Accelerator Program - Applied AI Application Engineer for a remote role. Level rates it ; you can apply on Jobicy.
Source: Jobicy. Level lists this role from Jobicy; you apply on their page.
Level's read on this job
- On Level's scale, this role is Builds AI ●●●●: the job is building AI systems.
- The posting lists this role as remote.
- Tools and skills the posting cites include OpenAI, Anthropic and LangChain.
- Level lists 46 other open roles at Jobicy.
- The role was posted in the last few days.
AI in this role
Design and develop AI agent workflows, LLM-powered applications, and backend integrations as an applied AI engineering intern.
Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. Binance is trusted by more than 320 million people in 100+ countries for its industry-leading security, transparency, trading engine speed, protections for investors, and unmatched portfolio of digital asset products and offerings from trading and finance to education, research, social good, payments, institutional services, and Web3 features. Binance is devoted to building an inclusive crypto ecosystem to increase the freedom of money and financial access for people around the world with crypto as the fundamental means.
About Binance Accelerator Program
Binance Accelerator Program (BAP) is a 3-6 month internship program designed for Early Career talent to have firsthand experience in the rapidly expanding digital assets space. You will be given the opportunity to develop your skills at Binance and understand what it’s like to work at the world's leading blockchain ecosystem. As part of your internship in the BAP, there will also be opportunities for networking and development, which will expand your professional network and build transferable skills to propel you forward in your career. Learn about the BAP Program HERE.
Who may apply
Current university students and recent graduates.
*Terms of employment / engagement shall be subject to contract and local applicable laws
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 You'll Do
- 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
What We're Looking For
- 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 Points
- 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
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.
Compensation
Additional Information
Why Binance
• Shape the future with the world’s leading blockchain ecosystem
• Collaborate with world-class talent in a user-centric global organization with a flat structure
• Tackle unique, fast-paced projects with autonomy in an innovative environment
• Thrive in a results-driven workplace with opportunities for career growth and continuous learning
• Competitive salary and company benefits
• Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team)
Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.
By submitting a job application, you confirm that you have read and agree to our Candidate Privacy Notice.
How we rate this
Binance Accelerator Program - Applied AI Application Engineer at Jobicy rates 90 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- How do you decide when an AI agent can act on its own versus asking for approval first?
- Tell me about a project where applied ai was part of your work. What did you do?
- How do you structure and test a prompt to get consistent output from a language model?
- Tell me about a project where backend integration was part of your work. What did you do?
- Tell me about a project where python was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: AI agents, Applied AI, Prompt engineering, Backend Integration, and Python. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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