DevSecOps Engineer - AI Agents

OMW Consulting; San Francisco (CA); On-site; USD 180,000 - 220,000; Full time

Job summary

OMW Consulting seeks a Senior DevOps/SRE engineer to own the US production environment and build an AI-agent platform for cross-border collaboration with a China-based R&D team.

You will manage data storage, key management, and encryption services while enabling tool-calling interfaces, log lookups, and monitoring through conversational interfaces. This role requires handling US data-compliance and working with legal counsel across time zones.

Qualifications

• DevOps/SRE with cloud, Kubernetes & CI/CD
• Experience building AI-agent systems with LLM tool-calling (LangChain, MCP)
• Security/compliance focus incl. encryption, key management, access control
• Design guardrails for data masking and permissions with auditable logs
• Legal and data-compliance collaboration across jurisdictions
• Coordination with remote China-based team across time zones and languages

Responsibilities

• Own US production environment operations including data storage, key management, and decryption services
• Design and build an AI-agent platform enabling China-based R&D to perform deployments, log lookups, and monitoring via conversational interfaces
• Collaborate with legal counsel to implement US data-compliance on the technical side
• Coordinate asynchronously with China-based team across time zones and languages

Skills

DevOps/SRE

Cloud experience (AWS/GCP/Azure)

Kubernetes

CI/CD

AI-agent systems experience

LLM tool-calling

LangChain

MCP

Security/compliance mindset

Cross-border coordination

Tools

LangChain

MCP

Job description

Compensation: $180,000 - $220,000 + 0.05% - 0.2% equity

Employment Type: Full-Time

Key Requirement: DevOps/SRE background + hands-on experience building AI-agent systems (LLM tool-calling, MCP)

Our client is a well-funded, stealth-stage AI hardware startup (~$20M raised) building an integrated hardware, software, and cloud system that acts as a "living memory" for its users - capturing conversations, meetings, and everyday signals so people can move from intention to action without typing or navigating a UI. Core surfaces include Apple Watch, iPhone, and a Mac desktop app, underpinned by an agent and ASR (speech-to-text) pipeline. The founding team previously scaled a well-known AI note-taking hardware company from roughly $1M to $100M ARR in two years, and has now taken a high-agency swing at building the next generation of the category, growing out its US core team in San Francisco.

This role sits at the intersection of DevOps/SRE, security and compliance, and applied AI-agent engineering. You will own the company's US-China data-compliance boundary end to end: running day-to-day operations of the US production environment (data storage, key management, decryption services) while designing and building an AI-agent platform that allows the China-based R&D team to perform operational tasks - deployments, log lookups, monitoring queries - through conversational and tool-calling interfaces instead of direct system access. You will work closely with legal counsel to implement US data-compliance requirements on the technical side, and coordinate constantly with a China-based team across time zones and languages.

What They Need

• DevOps/SRE or infrastructure engineering experience, with cloud (AWS/GCP/Azure), Kubernetes, and CI/CD


• Experience building AI-agent systems, including LLM tool-calling and agent frameworks (LangChain, MCP, etc.)


• Security/compliance background covering encryption, key management, and access control - a strong plus


• Ability to design agent-layer guardrails (data masking, scoped permissions, approval workflows) and maintain complete, auditable logs


• Comfortable with legal and CCPA-type technical compliance requirements


• Comfortable coordinating remotely across time zones and languages with a China-based team

What We're Looking For

• An infra/SRE engineer who has also genuinely built agent tooling (function calling / MCP) - not one or the other


• Someone who wants to own a high-stakes compliance boundary and design the guardrails around it


• Security and compliance-minded, comfortable working with legal and cross-border data constraints


• Effective at coordinating asynchronously with a China-based R&D team across languages


• Thrives in a fast-moving, pre-launch, ambiguous environment


• Nice to have: experience with similar cross-border data-compliance architectures (e.g., TikTok-style setups) and prior startup experience