1 час назад
Senior Applied AI Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Applied AI Engineer (AI/LLM): Building production-grade multi-agent AI systems for an MSSP security platform with an accent on threat detection, investigation, response automation, and secure multi-tenant architecture. Focus on designing RAG pipelines and agent orchestration, optimizing token usage and latency, integrating React and TypeScript applications, and deploying observable cloud-native systems.
Location: US Remote; fully remote
Company
is a security-focused SaaS company founded in 2013 that provides SecOps and managed detection and response services.
What you will do
- Architect and deploy production-grade autonomous agent networks using Agent Development Kit, Agent-to-Agent communication, and agentic frameworks.
- Build AI-driven workflows for multi-step security triage, threat investigation, and response.
- Own model selection, prompt engineering, context retrieval, RAG pipelines, orchestration, evaluation, and observability.
- Optimize context windows, token budgets, prompt caching, pruning, and latency across real-time AI interactions.
- Integrate agentic capabilities into customer- and analyst-facing applications built with React, TypeScript, PostgreSQL, and Firestore.
- Design secure multi-tenant architectures with strict customer data isolation and mentor engineers on AI engineering practices.
Requirements
- 5+ years of software engineering experience writing tested, maintainable production code.
- Practical production experience with LLM integration, prompt harnessing, RAG, multi-agent orchestration, function calling, evaluation, and observability.
- Strong hands-on proficiency with React, TypeScript, PostgreSQL, and Firestore, including schema design, queries, ORM usage, and runtime validation.
- Experience designing scalable, highly available, cloud-native systems and secure multi-tenant AI architectures.
- Experience with Vertex AI/GCP or other cloud platforms such as AWS or Azure, plus familiarity with models including Claude, Gemini, GPT-4, Llama, and Mistral.
- Experience partnering with product managers and security analysts to deliver user-facing features.
Nice to have
- Terraform or similar infrastructure-as-code tools.
- Experience with Google Cloud SecOps, Security Command Center, Mandiant, or SOAR systems.
- Experience with multimodal workflows, streaming agent architectures, or custom agent routing engines.
Culture & Benefits
- Fully remote work within the US and a humans-first engineering culture centered on radical transparency.
- Modern stack including React, TypeScript, Tailwind CSS, PostgreSQL, Drizzle ORM, GCP, CI/CD, Vitest, and Playwright.
- Company-funded vendor and technical training, peer code reviews, and technical mentorship.
- Medical, company-paid dental, short-term disability, and long-term disability coverage.
- Paid vacation starting at 2 weeks and accruing up to 4 weeks, paid sick leave, and 10 paid company holidays.
- 401(k) match of 100% of the first 3% contributed and 50% of the next 2%.
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