Staff Software Engineer, Agent Engineering

Emploi pas sur LinkedIn

🕒 il y a 10 jours

🇺🇸 États-Unis – Télétravail

💵 $200 000 - $275 000 / an

⏰ Temps Plein

🔴 Expert

🧑‍💻 Développeur Full-Stack

🗣️🇺🇸🇬🇧 Anglais requis

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Logo of TRM Labs

TRM Labs

201 - 500 employés

Fondée en 2018

₿ Crypto

📋 Conformité

🤝 B2B

Crypto • Compliance • B2B

TRM Labs est une entreprise spécialisée dans l'intelligence blockchain qui fournit des solutions de surveillance de transactions, de services forensics et de conformité aux entreprises et organismes du secteur public traitant des cryptomonnaies. Leur plateforme et leurs produits (exemples : Compliance360, Investigation360, Seizure360, Supervision360, BlockInt API, MCP, wallet screening, Know-Your-Asset) aident les banques, les entreprises crypto, les régulateurs, les forces de l'ordre et les autorités fiscales à détecter, enquêter et bloquer les activités crypto illicites, soutenir les saisies, et répondre aux exigences de LBC/FT et de supervision. TRM propose également des formations et certifications (TRM Academy) ainsi que des services professionnels tels que la réponse aux incidents et le développement des capacités.

Description

• Architect and implement a robust agentic framework that supports tool use, context retrieval, memory, and planning • Build intelligent, modular agents that automate investigative tasks and augment analyst decision-making • Extend and scale our LLM infrastructure (e.g. OpenAI, Anthropic, local models), including prompt engineering, RAG, and evaluation loops • Design safe, observable, and auditable agent behaviors — ensuring reliability in high-sensitivity environments • Evaluate performance across metrics like reasoning, latency, success rate, and hallucination, and iterate based on user feedback and system telemetry • Contribute to a culture of high ownership, rapid experimentation, and ethical AI deployment

🎯 Exigences

• Strong engineering background with deep experience in backend or systems work (Python preferred) • Hands-on experience building with LLMs, agents, and tooling frameworks (LangChain, semantic caches, vector DBs, etc.) • Comfort working with agentic pipelines and optimizing information flow into AI systems • Thoughtful approach to system design, with an eye for safety, scalability, and explainability • High product empathy - you care about how agents impact real users (analysts) and optimize accordingly • Bias toward experimentation and iteration - you’re excited to try, learn, and ship fast • Previous experience with knowledge graphs, task orchestration, or AI safety a plus

🏖️ Avantages

• Additionally, this role may be eligible to participate in TRM’s equity plan.

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