Staff AI Platform Developer [590]
D-Wave Systems3 months ago
Canada (city not specified)Staff+
Base Salary
$167k - $230k/yr
Responsibilities
- Drive adoption of AI capabilities across D-Wave’s Product Development teams.
- Lead architecture and implementation of internal LLM applications, agents, RAG systems, workflow automation, and AI platform components.
- Build prototypes and production services integrated with systems such as GitHub, Jira, Slack, documentation platforms, service desks, and business applications.
- Partner with DevOps to create reusable components for model access, prompt and configuration management, permissions-aware retrieval, logging, monitoring, evaluation, and cost tracking.
- Evaluate and select AI models, APIs, tools, and vendors based on quality, reliability, security, privacy, latency, and cost.
- Design guardrails for data handling, access control, prompt injection, output validation, audit logging, and human review.
- Transition production-ready solutions to Product Development teams and support practical, safe, measurable AI adoption.
- Document AI development patterns and best practices, track adoption and operational outcomes, and promote responsible AI practices.
- Lead AI office hours and facilitate technical knowledge sharing across engineering teams.
- Participate in the yearly D-Wave Hackathon and join the on-call rotation for application reliability 6–12 months after starting.
Requirements
- Bachelor’s degree in Computer Science, Computer Engineering, or a related technical discipline, or equivalent experience.
- 7+ years of professional experience in software engineering, platform engineering, internal tool development, DevOps, ML systems, or a related discipline.
- Extensive experience with prompt engineering, RAG, embeddings, vector search, reranking, context management, structured outputs, and tool use across the LLM application stack.
- Extensive experience with agentic orchestration frameworks and interoperability protocols including MCP and ACP.
- Experience evaluating, fine-tuning, securing, and cost-optimizing LLM systems in production.
- Strong proficiency in Python, TypeScript/JavaScript, or another modern language used for backend services and automation.
- Experience designing, implementing, and consuming REST APIs and backend services.
- Experience with Git, CI/CD, Linux/Unix environments, containers, and production deployment workflows.
- Experience building AI solutions that securely use sensitive internal data and company knowledge sources.
- Strong technical communication, requirements-capture, documentation, cross-team collaboration, problem-solving, and continuous-learning abilities.
- Preferred experience with AWS, Kubernetes, Docker, Terraform, and other cloud or infrastructure tools.
- Preferred experience integrating with Slack, Jira, GitHub, Confluence, Google Workspace, Salesforce, Zendesk, ServiceNow, or similar systems.
- Preferred experience with self-hosted, open-source, or private AI model deployments, and with quantum computing, scientific computing, hardware/software systems, or other highly technical domains.
Benefits
- Base pay is listed as 167,000–230,000 CAD per year in Canada and 167,000–230,000 USD per year for remote United States roles.
- D-Wave offers company ownership, competitive pay, equity, bonus, perks, and other benefits reviewed with the recruiter during the interview process.
- Remote work is available for United States-based roles.
- The role includes participation in an on-call rotation beginning 6–12 months after starting.
- Employees can participate in the yearly D-Wave Hackathon and receive opportunities for technical knowledge sharing and career growth.
Categories
About D-Wave Systems
D-Wave Systems builds quantum computing hardware and software, focused on quantum annealing, with access delivered via its Leap cloud and on-premise systems. It sells subscriptions, systems, and professional services to commercial, government, and research users tackling optimization and machine-learning workloads. Founded in 1999 and headquartered in Palo Alto, it is a public company listed on the NYSE.