Hello,
Sr AI Python Engineer
Remote
Long term Contract
ABOUT THE ROLE
We’re looking for a Senior AI 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 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 Google Cloud Platform 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 hand-holding, you set the pace and raise the bar.
• Champion engineering best practices: CI/CD, observability, testing, and infrastructure-as-code.
Collaborate & Communicate
• Partner closely with other engineers, product owner, and data scientist to align on priorities and deliver iteratively.
• Translate complex AI concepts into clear, actionable plans that non-technical stakeholders can rally behind.
• Participate in code reviews, architecture discussions, and knowledge-sharing sessions.
Stay Ahead of the Curve
• Continuously evaluate emerging AI tools, frameworks, and research (LangChain, vector databases, fine-tuning techniques, agentic workflows, etc.).
• Champion a culture of experimentation, run proofs of concept, share findings, and push the team forward.
WHAT YOU BRING
Must-Haves
• 4–6+ years of professional back-end or full-stack software engineering experience with a strong Python focus.
• Proven track record designing and deploying cloud-native applications (Google Cloud Platform 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.
• Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent practical experience).
• Strong communicator who thrives in cross-functional, agile teams.
• Comfort using AI tools to accelerate development throughput.
Nice-to-Haves
• 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 to modern AI orchestration frameworks (LangChain, Google ADK, etc).
• Experience with infrastructure-as-code tools (Terraform, Pulumi) and CI/CD pipelines.
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.
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