SENIOR PYTHON ENGINEERML/AI Team Python GCP Generative AI LLMs Cloud Run Kubernetes Full-Stack ABOUT THE ROLE We're looking for a Senior Python Engineer to help shape the next generation of intelligent products on our ML/AI team. You'll design and build the systems that bring machine learning and generative AI out of the lab and into the hands of real users, from scalable cloud-native backends to the APIs and interfaces that make AI accessible. This isn't a research-only role. You'll own the full lifecycle, prototyping new ideas, architecting production-grade services on Google Cloud Platform, and shipping features that customers interact with every day. If you love working at the intersection of software engineering and AI, and you want your code to have an immediate, visible impact, this is your role. WHAT YOU'LL DO Build & Ship AI-Powered Products Design, develop, and deploy production ML/AI services end-to-end, from model integration through client-facing APIs. Build event-driven, real-time architectures using Cloud Functions, Cloud Run, Kubernetes, Pub/Sub, and similar GCP services. Integrate transformer-based models and LLMs into scalable inference pipelines, handling prompt engineering, output formatting, and graceful error recovery. Write clean, well-tested Python backends that power seamless full-stack experiences. Own the Architecture Lead design sessions and whiteboarding, translating product requirements into robust technical architectures. Drive projects from concept to production with minimal handholding; set pace, raise the bar. Champion engineering best practices: CI/CD, observability, testing, infrastructure-as-code. Collaborate & Communicate Partner closely with other engineers, product owners, and data scientists to align priorities and deliver iteratively. Translate AI concepts into clear, actionable plans so non-tech stakeholders can rally behind. Participate in code reviews, architecture discussions, and knowledge-sharing sessions. WHAT YOU BRING Must-Haves 4–6+ years of professional backend or full-stack software engineering experience with a strong Python focus. Proven track record designing and deploying cloud-native applications (GCP strongly preferred; AWS/Azure considered). Hands-on experience building resilient, event-driven microservices and RESTful/gRPC APIs. Solid understanding of containerization (Docker), orchestration (Kubernetes), and serverless paradigms. Strong experience with SOLID design principles. Good communicator who thrives in cross-functional, agile teams. Comfort using AI tools to accelerate development throughput. Good to Have Experience deploying and serving ML models or LLMs in production. Familiarity with prompt engineering, retrieval-augmented generation (RAG), vector search, or fine-tuning workflows. Exposure modern AI orchestration frameworks (LangChain, Google ADK, etc). Experience with infrastructure-as-code tools (Terraform, Pulumi) and CI/CD pipelines. Bachelor's degree in computer science, or a related field (or equivalent practical experience). WHO YOU ARE Beyond the technical toolkit, these are the traits that set our best engineers apart: Relentless Learner: You thrive on picking up new technologies fast and don't believe in one-size-fits-all solutions. You have deep fluency in at least one scripting language and a genuine eagerness to master whatever comes next. Fearless Builder: You believe a working proof-of-concept is worth a thousand slide decks. You've proven that speed and quality aren't trade-offs; they're both non-negotiable. Full-Stack Thinker: You understand how every layer of the stack, front-end, database, network, infrastructure—fits together, and you instinctively consider how each decision impacts overall performance and user experience. Architecture-Minded: You design highly scalable, fault-tolerant services as second nature. You stay current on architectural patterns and aren't afraid to challenge the status quo when a better approach exists. Ownership-Driven: You take pride in everything you ship. Code isn't "done" until it's well-tested, properly documented, and backed by solid monitoring. Your name on a release means something. Team Multiplier: You believe the best outcomes come from collaboration—that the whole is greater than the sum of its parts. You give and welcome candid feedback, and you actively make the people around you better.