Design, build, and deploy production AI agent workflows and LLM-powered systems. Integrate tools, APIs, databases, and internal services; improve agent quality, latency, safety, and cost. Collaborate with product and operations to translate business problems into practical AI solutions and contribute to backend services and evaluation/guardrail patterns.
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, Web3 features, and more. We leverage the power of digital assets and blockchain to build an inclusive financial ecosystem to advance the freedom of money and improve financial access for people around the world.
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
Bonus Points
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.
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.
Similar Jobs
Artificial Intelligence • HR Tech • Software • Generative AI
Remote annotator reviews Japanese text and images, draws bounding boxes, answers structured questions, and writes short summaries per guidelines to train AI systems. On-the-job training provided; assessment required.
Artificial Intelligence • Marketing Tech • Sales • Software
Build and operate production custody systems: signing service, key management, chain integrations, and transaction pipelines. Own end-to-end subsystems, integrate new chains, collaborate with cryptography on threshold signing and key recovery, write post-mortems, and produce clear async design docs and PRs.
Top Skills:
Account Abstraction)Aurora PostgresAWSBitcoin (UtxoCggmp21ClickhouseCloudhsmCmp)Eip-1559Ethereum (Eip-712FrostGg20Github ActionsGoKubernetesLedger VaultMoveMpcPostgresPsbt)RustRust (For Chain Integration)SolanaSolidityTemporalTerraformThreshold Signing (Gg18TssTypescriptYubihsm
Blockchain • Fintech • Software • Cryptocurrency • Metaverse
Early-career fixed-term role embedded in Institutional BD supporting growth and retention of institutional clients. Responsibilities include research and prospect database building, pitch and CRM support, volume and competitor analysis, onboarding coordination, preparing client materials, monitoring competitors, supporting product adoption campaigns, and drafting internal reports and briefings.
Top Skills:
AICRM
What you need to know about the Chicago Tech Scene
With vibrant neighborhoods, great food and more affordable housing than either coast, Chicago might be the most liveable major tech hub. It is the birthplace of modern commodities and futures trading, a national hub for logistics and commerce, and home to the American Medical Association and the American Bar Association. This diverse blend of industry influences has helped Chicago emerge as a major player in verticals like fintech, biotechnology, legal tech, e-commerce and logistics technology. It’s also a major hiring center for tech companies on both coasts.
Key Facts About Chicago Tech
- Number of Tech Workers: 245,800; 5.2% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: McDonald’s, John Deere, Boeing, Morningstar
- Key Industries: Artificial intelligence, biotechnology, fintech, software, logistics technology
- Funding Landscape: $2.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Pritzker Group Venture Capital, Arch Venture Partners, MATH Venture Partners, Jump Capital, Hyde Park Venture Partners
- Research Centers and Universities: Northwestern University, University of Chicago, University of Illinois Urbana-Champaign, Illinois Institute of Technology, Argonne National Laboratory, Fermi National Accelerator Laboratory
