1 день назад
Engineer (AI/Crypto)
135 000 - 245 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Engineer (AI/Crypto) (TypeScript/Kubernetes): Building collection-engineering tools, services, and agentic systems that ingest, classify, analyze, and monitor cryptocurrency intelligence with an accent on production AI systems, data pipelines, and operational efficiency. Focus on designing agent evaluation and guardrails, automating analyst workflows, interpreting crypto usage, and maintaining observable cloud infrastructure.
Location: Washington, D.C.; hybrid
Estimated base salary: $135,000–$245,000 per year
Company
provides digital asset decisioning, blockchain data, and intelligence products for compliance, risk management, intelligence operations, and blockchain infrastructure.
What you will do
- Design and build software tools, Kubernetes services, and autonomous agents for intelligence collection and analysis.
- Build and operate production agentic systems, including evaluation, guardrails, monitoring, and failure management.
- Collaborate with analysts and researchers to understand workflows and automate appropriate processes.
- Develop software for analyzing cryptocurrency usage behaviors and trends.
- Implement observability mechanisms and resolve operational issues.
Requirements
- Production software engineering experience in a commercial environment.
- Strong TypeScript skills with hands-on experience in React and Nest.js.
- Familiarity with Postgres and Kubernetes.
- Experience with AWS, Terraform, and Datadog.
- Practical AI fluency, including AI-assisted development and production agentic tooling.
- Interest in cryptocurrencies and blockchains, with evidence-based communication and collaboration skills.
Nice to have
- Experience in an intelligence collection setting.
- Experience with big data technologies, data management, and data pipelines.
- Experience improving how teams use AI.
Culture & Benefits
- Work with analysts, researchers, data scientists, and geographically distributed colleagues.
- Access to AI tools including Claude, alongside training and dedicated time to use AI effectively.
- Work on systems used by law enforcement, regulators, and financial institutions to combat crypto crime.
- Collaborative culture focused on open communication and responsible engineering judgment.
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