10 часов назад
Senior Software Engineer (Agentic AI Tools)
166 100 - 249 100$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Software Engineer (Agentic AI Tools) (AI/Cybersecurity): Building autonomous AI agents, security tools, dashboards, and research workflows that ingest and analyze threat intelligence from external and internal sources with an accent on agent orchestration, RAG architectures, and cybersecurity research. Focus on designing multi-step agents, optimizing AI workloads, and turning threat findings into technical content, demos, and customer-facing security assets.
Location: San Jose, United States; hybrid
Annual base pay: $166,100–$249,100
Company
develops cybersecurity and application delivery technologies, including AI Security, BIG-IP, NGINX, and Distributed Cloud solutions.
What you will do
- Build and deploy autonomous AI agents that scrape, ingest, correlate, and analyze threat intelligence and internal product telemetry.
- Develop agents and supporting tools with Python, TypeScript, Go, LangChain, LangGraph, CrewAI, LlamaIndex, APIs, web-scraping libraries, and ML frameworks.
- Engineer AI-driven workflows for threat research across AI security, application security, bots, post-quantum cryptography, and emerging threats.
- Create AI-powered security and non-security tools, dashboards, web experiences, testing pipelines, and automation.
- Translate research findings into reports, technical articles, newsletters, demos, presentations, webinars, and customer-facing security content.
- Collaborate with product management, architects, engineering, technical marketing, threat research, and data science teams.
Requirements
- 8+ years of experience in AI/ML engineering, including recent hands-on experience building and deploying agentic AI systems.
- Strong Python expertise and experience designing autonomous, multi-step AI agents.
- Hands-on experience with LangChain, LangGraph, CrewAI, and LlamaIndex.
- Knowledge of OpenAI, Anthropic, Gemini, NVIDIA, RAG, prompt engineering, tool calling, embeddings, vector databases, MLflow, Kubeflow, and BentoML.
- Experience building data-ingestion pipelines with APIs, web scraping, BeautifulSoup, and Scrapy for vulnerability databases, CVEs, threat feeds, blogs, and internal sources.
- Foundational cybersecurity knowledge, including MITRE ATT&CK and OWASP, plus strong cross-functional collaboration skills.
Nice to have
- Familiarity with AI Security, BIG-IP, NGINX App Protect, Distributed Cloud API Security, or equivalent platforms.
Culture & Benefits
- Work on agentic AI and next-generation security and threat intelligence tools.
- Collaborate across engineering, research, product, and technical marketing functions.
- Potential eligibility for incentive compensation, bonuses, restricted stock units, and benefits.
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