Better Money

Strike is the Bitcoin company. With Strike, you can buy and sell bitcoin, pay bills, and borrow against your holdings. From individuals to businesses, Strike is purpose-built for every step of the Bitcoin journey. Available in more than 100 countries — including the U.S., Europe, Latin America, and Africa — Strike is building a better financial system powered by Bitcoin. Bitcoin is better money. Strike is how you use it.

Role:

We are seeking a Staff AI Engineer (Systems) to join our Core Team.

Strike is already a high-velocity, cloud-native engineering organization. We run an immutable infrastructure on GKE, we enforce "Shift-Left" security, and we deploy constantly. We are full on integrating frontier AI capabilities directly into our ecosystem - not as a gimmick, but as a force multiplier for our team.

This is a Systems Engineering role. You will not be fine-tuning models or building chatbots for fun. You will be building the secure connective tissue that allows agentic systems to interact with our real-world infrastructure. You will define how agents authenticate, how they access tools, and - crucially - when they should be trusted.

What You Will Do

Build the Connected Ecosystem: We have already operationalized tools like Copilot Agents, Gemini, Claude, Agentic CLIs, n8n workflows, and local agent runtimes. Your job is to build the unified, secure layer that connects these tools to our core platforms (e.g., building internal MCP servers).
Create IDE Agents: Help us fine-tune and deploy IDE agents that accelerate coding for the entire engineering organization.
Develop Agentic Workflows: Create orchestration layers and secure runtime environments for LLM tool-use.
Bridge Information Silos: Build out the enterprise knowledge base to connect disparate data sources for agentic reasoning.

What We Are Looking For

Full Stack Systems DNA: You are a polyglot engineer. You understand the entire stack - from frontend interfaces to backend distributed systems and cloud infrastructure.
Frontier AI Proficiency: You are fluent in the current landscape of AI engineering. You have built implementations using patterns like MCP, RAG, function-calling, and evals. You understand techniques like AI as a Judge, Agent Self-Improvement, and how to balance deterministic systems with non-deterministic outputs.
Security-First Mindset: You understand the risks of deploying LLMs in a production environment. You are familiar with concepts like Shift-Left security, least-privilege access, and robust secrets management.
Organizational Influence: You have excellent communication, collaboration, and influencing skills. You can explain complex AI concepts to non-technical stakeholders and drive consensus on architectural decisions.

Our Environment (Context)

Infrastructure: Fully Cloud-Native on GCP, Infrastructure as Code
Orchestration: Google Kubernetes Engine (GKE) with Helm & ArgoCD.
Languages: C#/.NET (Core Services), Python (Data/Scripts), TypeScript (Web).
Security: Comprehensive enterprise secrets management and governance tooling.
AI Stack: We are actively leveraging many frontier tools and techniques.

The Culture

High Agency: We don’t do hand-holding. We expect you to solve problems.
High Velocity: We ship. If you prefer debating philosophy for weeks over shipping code, this is not the place for you.
One Singular Unit: We are a lean, fast-moving team. We move together - everyone has a role, everyone blocks and tackles for each other.

US-Based Positions

Salary range: $216,000 - 232,000
Equity in a high-growth startup
Health, dental, and vision insurance premium contributions; short & long-term disability insurance and basic life insurance
Cell phone and internet reimbursement
Flexible PTO, sick leave & parental leave
Access to a company 401k plan

Non US-Based positions

Location Dependent

Staff AI Engineer (Systems)

Anywhere in the world

Remote

Senior

Strike