2 дня назад
Principal Software Engineer (AI)
156 400 - 253 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Principal Software Engineer (AI): Building production-grade autonomous AI systems, agent harnesses, and developer-platform capabilities across the software lifecycle with an accent on context engineering, RAG, evaluation, governance, and LLMOps. Focus on designing bounded control loops, deploying reliable multi-cloud AI platforms, and solving complex challenges in agent recovery, observability, security, and enterprise-scale execution.
Location: Santa Clara, California, United States; hybrid schedule with 3 days per week in the office.
Salary: $156,400–$253,000 per year, plus potential bonus and restricted stock units.
Company
Cybersecurity company developing secure cloud infrastructure, platform engineering capabilities, and AI-powered security solutions.
What you will do
- Define the strategic roadmap for autonomous AI investments and prioritize enterprise use cases using ROI and business-impact metrics.
- Design and build production-grade AI harnesses, closed-loop control systems, context-management systems, and recovery mechanics.
- Develop agentic frameworks supporting tool selection, multi-agent orchestration, function calling, MCP, and deterministic recovery.
- Implement advanced RAG pipelines using hybrid search, vector embeddings, chunking, reranking, and agentic retrieval.
- Build evaluation suites, LLM-as-judge pipelines, regression tests, observability, and LLMOps capabilities for reliable production deployment.
- Lead cross-functional initiatives that embed secure AI platforms into developer workflows and multi-cloud environments.
Requirements
- 7+ years of software or ML engineering experience, including 2+ years in applied AI, RAG, LLM orchestration, or AI strategy execution.
- Bachelor’s or master’s degree in computer science, data science, engineering, or equivalent practical experience.
- Production experience delivering agentic AI solutions with measurable ROI and reliable operation at scale.
- Strong expertise in autonomous loops, state verification, step-wise evaluation, error recovery, context engineering, MCP, function calling, hybrid search, and vector databases.
- Experience with automated evaluation, production monitoring, AI safety, prompt-injection defense, data privacy, and compliance frameworks.
- Ability to align engineering, product, legal, and executive stakeholders on complex AI initiatives.
Culture & Benefits
- In-person collaboration model with flexibility when needed.
- Opportunity to work on cybersecurity, AI, and cloud infrastructure at enterprise scale.
- Employee benefits, bonus eligibility, and potential restricted stock units.
- Visa or immigration sponsorship is available.
- Inclusive workplace with reasonable accommodations for qualified individuals.
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