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 Platform Engineer (AI 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.

Who this is NOT: To save your time: This is NOT a Data Science or MLOps role. We are not looking for someone to train custom models in PyTorch or manage Kubeflow clusters. We are looking for a systems builder to create the agentic harness and tools that empower our team.

What You Will Do

Drive the Vision: Blend your ability to execute with your ability to strategize. You will take the insight you gather working with teams, translate that into a vision, and influence organizational alignment on overall AI strategy.
Build the Internal AI Platform: 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 enablement. 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.

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 use a mixture of tools and models; being flexible and ready for change is the default.

US-Based Positions

Salary range: $206K - $232K

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

No trading fees when you buy and sell bitcoin on Strike

Non US-Based positions

Benefits and compensation are location dependent

This job has expired

Staff Platform Engineer, AI Systems

Anywhere in the world

Remote

Senior

Strike