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Binance.US

Senior Software Engineer, AI

Posted Yesterday
Remote
Hiring Remotely in United States
220K-250K Annually
Senior level
Remote
Hiring Remotely in United States
220K-250K Annually
Senior level
Lead the architecture and implementation of AI systems, integrating LLMs, mentoring engineers, and ensuring compliance in a high-impact role.
The summary above was generated by AI

About Binance.US: 

Binance.US is America’s home to buy, trade, and earn digital assets. As a licensed and regulated U.S. crypto platform, we provide secure, reliable access to more than 190 of the world’s most popular cryptocurrencies, all with some of the lowest fees in the industry. We’re a remote-first team of innovators building the bridge between traditional finance and Web3, helping bring financial freedom within reach for all. To learn more, visit www.binance.us. All roles supporting Binance.US are employed via BAM Management US Holdings Inc. or BAM Management Canada Holdings Inc.

About This Role:

We are looking for a Senior Software Engineer, AI to be the technical counterpart to our AI Product Manager and help define how we build and ship AI at Binance.US. In this role, you will own the architecture, implementation, and evolution of our AI platform and services, from LLM integrations and evaluation frameworks to the APIs that power AI-enabled experiences across our product surface area. You’ll be a player-coach: deeply hands-on in the codebase while providing technical leadership, mentoring engineers, and raising the bar for how we build AI in a regulated environment. This is a highly visible role with significant scope and impact across the organization.

Core Responsibilities:

  • Partner with the Senior Product Manager, AI to translate AI product strategy into a clear technical roadmap, breaking initiatives into milestones and deliverables.

  • Design and evolve the AI platform (LLM/model orchestration, context and prompt management, evaluation pipelines, observability, and cost controls).

  • Evaluate, select, and integrate LLMs and other models (hosted APIs and self-hosted), balancing quality, latency, cost, privacy, and regulatory requirements.

  • Define standards and best practices for how product and engineering teams build AI-powered features on top of the platform.

  • Design, implement, and maintain backend services and APIs that power AI-enabled features for customers and internal users (e.g., support tooling, trading and risk insights, internal agents and automation).

  • Collaborate with data/ML partners to productionize models, including feature pipelines, inference services, and online/offline evaluation.

  • Ensure AI systems are reliable, observable, and scalable, with clear SLOs for performance, availability, and quality.

  • Implement evaluation frameworks for AI systems, including regression suites, A/B experiments, human-in-the-loop review, and quality metrics.

  • Work closely with Security, Compliance, Legal, and Risk to incorporate guardrails, access controls, and auditability into AI systems from design through deployment.

  • Use secure tool-calling/orchestration patterns to connect models to internal tools and data while respecting data governance and customer privacy.

  • Mentor and level up engineers (Senior and mid-level) in AI/ML best practices, distributed systems design, and platform thinking.

  • Collaborate with engineering and talent partners on hiring for AI-related roles and help shape our AI engineering culture.

Preferred Skills/Experience:

  • 8+ years of professional software engineering experience, including 3+ years building production ML/AI systems.

  • Backend & systems expertise

    • Strong proficiency in Java or a similar typed backend language (e.g., Kotlin, Go) and working proficiency in Python for ML/AI workflows.

    • Deep understanding of distributed systems, microservices, and event-driven architectures (e.g., Kafka or similar).

  • AI / ML experience

    • Hands-on experience building with LLMs and modern ML tooling (e.g., OpenAI/Anthropic APIs, Hugging Face, vector databases, RAG, prompt orchestration frameworks).

    • Familiarity with AI evaluation and safety techniques (offline/online eval, content filters, policy enforcement, guardrails).

  • Platform mindset

    • Experience building platforms or internal tools that support multiple product teams, with an emphasis on reliability, observability, and developer experience.

    • Comfortable defining and evangelizing patterns, standards, and reusable components.

  • Domain & collaboration

    • Experience in fintech, trading, payments, or other regulated industries is a strong plus.

    • Proven ability to communicate clearly with cross-functional partners (Product, Data, Security, Compliance, and leadership) and to translate complex technical work into business impact.

  • Bonus points

    • Experience building or integrating crypto/DeFi/trading products.

    • Contributions to open-source AI, ML, or infrastructure projects.

    • Experience with MCP-style tool integrations or other modern agent/orchestration frameworks.

Salary:

The pay range for this role is between USD$220,000 - $250,000 per year for all U.S. remote locations. The actual base pay will vary, and is dependent upon many factors, such as transferable skill sets, work experience, business needs, and market demands. The base pay range is subject to change.

Our Mission:
At Binance.US, our mission is to create a more inclusive financial system through Web3 technologies. As a U.S. regulated crypto platform, we’re committed to earning trust through compliance and empowering people to do more with their money, bringing financial freedom within reach for all.

Our Values:
Our values shape how we work, make decisions, and support our users every day:

  • Act with Integrity: We do what’s right, even when no one is watching.

  • Be Collaborative: We work together with respect and transparency to achieve shared goals.

  • Customers First: We listen to, advocate for, and prioritize our users in every decision we make.

  • Do the Work: We take ownership, follow through, and deliver results that move the mission forward.

  • Embrace Change: We stay adaptable and curious, thriving in a fast moving industry.

Our Benefits:

We believe in supporting our people with flexibility, balance, and opportunities to grow. One of the ways we demonstrate this commitment is through our benefit offerings.

  • Time & Family: Unlimited PTO (for salaried FTE roles); 12 weeks fully paid Parental Bonding Leave.

  • Well-Being: Mental wellness benefits; free 1:1 virtual visits with a licensed mental wellness professional; comprehensive competitive health benefits.

  • Remote-First Culture: Fully remote, cameras-on culture with work-from-home equipment reimbursements available to new hires.

  • Professional & Financial Growth: Annual professional development budget; free 1:1 virtual visits with a career coach; 401k plan with employer match.

BAM Management US Holdings Inc. and BAM Management Canada Holdings Inc. are Equal Opportunity Employers and comply with all applicable federal, state, and local fair employment practice laws. Our mission is to give our customers access to a broad array of digital assets, and we thrive because of the diverse and inclusive team that we are building. We do not discriminate against qualified employees, applicants, or any other covered persons because of race, color, religion, creed, gender identity, sex, sexual preference, sexual identity, pregnancy, national origin, ancestry, citizenship, age, veteran status, physical disability, mental disability, medical condition, military status, or any other applicable legally protected characteristic.

Depending on your location, data privacy laws may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available here. By submitting your application, you are agreeing to our use and processing of your data as required.

We comply with Federal Transparency in Coverage regulations by providing a link to machine readable files related to the health plans offered to our employees. The machine-readable files are formatted to allow researchers, regulators, and application developers to more easily access and analyze data including negotiated service rates, and out-of-network allowed amounts between health plans and healthcare providers.

Top Skills

Anthropic Apis
Go
Hugging Face
Java
Kafka
Kotlin
Llms
Openai
Python

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