AI Platform Engineer

KUNGFU.AI is a leading AI-native consulting firm. We partner with ambitious organizations through multi-year cycles of transformation to help them compete and lead in the age of AI. Our work spans AI strategy, applied machine learning and engineering, and the operationalization of AI into real products, processes, and decision systems. We are not a slideware consultancy. We design and build production-grade AI systems that drive measurable business outcomes. Our teams combine deep technical expertise with pragmatic consulting discipline to move clients from experimentation to impact. Platform Engineers at KUNGFU.AI work alongside Machine Learning Engineers and Data Scientists on client project teams to design architecture, build infrastructure, and establish frameworks that enable rapid, production-grade iteration. This is an embedded, collaborative role grounded in seamless teamwork — not a siloed advisory function. As a Platform Engineer, you shape how KUNGFU.AI approaches infrastructure as a discipline. You design cross-project platform standards, reference architectures, and reusable patterns that accelerate every engagement. You lead select client projects — building trusted relationships with clients and owning infrastructure strategy with minimal Director of Engineering support. You also begin working cross-functionally with business development, strategy, and marketing teams, contributing to SOW development and advising on feasibility as roadmaps take shape. Your influence extends beyond your own projects to the broader engineering organization. Here's what you'll be doing: Design and maintain reference architectures, templates, starter kits, and golden paths that standardize infrastructure patterns across client engagements Lead select client projects, including building trusted client relationships and owning infrastructure delivery with light DoE support Drive code quality and infrastructure standards across project teams — through code review, pairing, and establishing conventions Evaluate and rapidly adopt emerging cloud services, infrastructure tooling, and deployment patterns, recommending adoption where they benefit the team Contribute to SOW development by scoping infrastructure effort, identifying risks, and defining technical approach for proposals Work with strategy teams to advise on feasibility and help scope engineering efforts on roadmaps as they are being developed Coordinate cross-functionally with BD, marketing, and strategy teams on infrastructure-related topics Navigate ambiguity in client environments — where requirements are unclear, constraints are evolving, and the "right" architecture isn't obvious Drive long-term strategic thinking about infrastructure patterns, tooling choices, and platform maturity for the engineering organization Mentor junior and senior engineers on both technical and non-technical dimensions What we'd like to see: Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent practical experience) Expert-level proficiency in AWS; working proficiency in Azure Expert-level experience with Infrastructure as Code (Terraform and/or AWS CDK) across complex, multi-environment deployments Deep experience designing and operating containerized systems at scale (Docker, ECS/Fargate, EKS/Kubernetes) Experience designing CI/CD strategies for multi-project or multi-team environments Strong understanding of security, networking, and compliance across cloud environments Experience with ML workflow infrastructure — model serving, inference servers (e.g., Triton, vLLM, TGI, TorchServe), training pipelines, data pipeline tooling — in collaboration with ML practitioners Experience deploying and managing LLM-based applications in production (RAG pipelines, API orchestration, vector stores, prompt management) Experience provisioning and managing GPU-accelerated compute environments, including instance selection, driver/runtime configuration, scaling strategies, and cost optimization Demonstrated ability to define reusable infrastructure patterns and standards adopted across teams or projects Experience leading technical delivery on client projects or engagements Experience contributing to proposals, SOWs, or scoping exercises Strong client relationship and communication skills Experience mentoring engineers at multiple levels What’s in it for you: This is a full-time position that is remote. Compensation includes competitive salary, company stock grant, top (‘gold’) level of health, dental and vision insurance (KUNGFU.AI covers 100% of your premiums and 50% for any dependents), health and dependent flexible spending accounts, short- and long-term disability insurance, unlimited vacation (that you're encouraged to take), paid parental leave, and more. If this opportunity excites you, we can’t wait to meet you! Please send your resume along with a cover letter explaining why you’re passionate about the idea of joining KUNGFU.AI and a great fit for this role. Note: Due to ITAR compliance and regulations we are only able to hire US Citizens and Green Card Holders. KUNGFU.AI Culture We are committed to building an inclusive culture that’s professional and effective, while also fun, collaborative and open. We are proud to be the first company to take The Startup Diversity and Inclusion Pledge, which one of our co-founders started. We actively encourage people from underrepresented groups to apply. We believe that a diverse and inclusive workforce fosters more creative ideas, conversations, and results. We also believe in using AI for Good in both our client projects and our corporate philanthropy. Our values are incredibly important to how we show up for each other, our clients, and for society at large. We expect all of our team members to be: Inquisitive, in that they have an innate desire to learn and teach. Inventive, in that nothing (ego, fear, etc.) get