3 дня назад
AI Platform Engineer
123 000 - 154 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Platform Engineer (AWS/LLM): Building and operating MCP infrastructure, agent platforms, Bedrock runtimes, and AI usage pipelines for secure enterprise automation with an accent on AWS infrastructure, governance, observability, and least-privilege access. Focus on designing production-grade agent deployment patterns, integrating LLMs across business tools, and making AI spend, identity, and data sensitivity auditable.
Location: Remote, Raleigh, United States
Salary: $123,000–$154,000 USD per year
Company
develops cloud security technology, including Falco, an open standard for cloud threat detection, runtime insights, and agentic AI solutions.
What you will do
- Build, secure, patch, and operate self-hosted and managed MCP servers and maintain the MCP registry.
- Own the agent platform, including deployment patterns, guardrails, observability, hosting, and secure access.
- Co-own the Amazon Bedrock runtime and gateway, including model access, cost attribution, content filtering, model pinning, and quota management.
- Build an identity-matched Bedrock-to-Snowflake usage pipeline with tracking and threshold alerts.
- Develop secure AI automations across Claude Desktop, Slack, and Google Workspace, including credentials and authentication flows.
- Implement governance based on data sensitivity, least privilege, auditability, and model sandboxing.
Requirements
- 6+ years of experience in software engineering, platform engineering, or DevOps, including production ownership.
- Hands-on AWS experience with IAM, ECS or Lambda, CloudWatch, and VPCs.
- Full-stack experience with backend services, APIs, CI/CD, and containerized deployments.
- Ability to build MCP servers or API integrations from scratch.
- Hands-on experience with LLM APIs, prompt engineering, and agent development.
- Strong ownership, automation, self-direction, and judgment in buy-versus-build decisions.
Culture & Benefits
- Remote work environment with a focus on open dialogue, ownership, and shipping improvements.
- Extra days off and mental health support for employees and families.
- 401(k) Retirement Savings Plan with a 3% company match.
- Maternity and parental leave.
- Full health benefits for employees and families.
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