6 дней назад
Senior Backend Engineer - Agents (AI)
180 000 - 220 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Backend Engineer - Agents (AI): Building scalable agent infrastructure, knowledge stores, and production agentic systems for an autonomous cybersecurity threat-hunting platform with an accent on TRACE graphs, embeddings, semantic search, and RAG. Focus on evaluating non-deterministic agents, designing benchmarks and observability, and encoding detection-engineering expertise into safe, continuously improving systems.
Location: Remote within the United States or hybrid in Boston.
Base salary: $180,000–$220,000 per year, plus equity and comprehensive benefits.
Company
develops an agentic cybersecurity threat-hunting platform that autonomously analyzes endpoint, identity, and cloud telemetry to identify behavioral threats and create hardened detections.
What you will do
- Build and maintain the infrastructure and platforms powering production AI agents.
- Co-own the TRACE Graph and other knowledge stores, including embeddings and semantic search systems.
- Design scalable data structures optimized for agentic workflows.
- Build automated evaluations and benchmarks to support rapid iteration without regressions.
- Ensure agents behave safely and as expected through observability and continuous evaluation.
- Collaborate with detection engineers and threat hunters, and provide guidance to other engineers working on agents.
Requirements
- 4+ years of software engineering experience, including 1+ year building customer-facing agentic systems in production.
- Strong backend engineering fundamentals and proficiency in Python, Java, Go, Rust, or a similar language.
- Strong understanding of agentic architectures and their tradeoffs.
- Experience designing, building, and evaluating production RAG systems.
- Strong experience with agent evaluations and observability.
- Experience with AWS or GCP, plus the ability to adapt, iterate, and ship quickly.
Nice to have
- Cybersecurity experience.
- Startup experience.
- Experience with graph databases.
- Experience evaluating the performance of different LLMs.
Culture & Benefits
- Low-ego environment focused on growth and customer value.
- Remote working flexibility.
- Health, dental, and vision coverage.
- Unlimited PTO and life insurance.
- 401(k) and equity compensation.
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