We’re looking for a Senior Python Engineer to build and scale AI-powered products that move beyond experimentation into real-world impact. This role sits at the intersection of software engineering and machine learning, owning the full lifecycle — from prototyping to production.Payment in USD monthlyWhat You’ll DoDesign, build, and deploy end-to-end ML/AI servicesDevelop scalable, cloud-native architectures on GCP (Cloud Run, Kubernetes, Pub/Sub, Cloud Functions)Integrate LLMs & transformer models into production pipelines (prompt engineering, inference, error handling)Build robust Python backends and client-facing APIs (REST/gRPC)Lead architecture decisions and drive projects from concept to deliveryApply best practices: CI/CD, testing, observability, infrastructure-as-codeMust-Have Skills (Mandatory)6+ years in backend/full-stack engineering (Python-focused)Strong experience with cloud-native development (GCP preferred)Expertise in microservices, event-driven systems, and APIsHands-on with Docker, Kubernetes, and serverless architecturesSolid understanding of software design principles (SOLID)Strong collaboration and communication in cross-functional teams➕ Nice to Have (Not mandatory)Experience deploying ML models / LLMs in productionKnowledge of RAG, vector search, prompt engineeringFamiliarity with LangChain or similar frameworksExperience with Terraform/Pulumi and CI/CD pipelinesWhat Sets You ApartBuilder mindset with a focus on speed + qualityStrong sense of ownership and accountabilityAbility to think end-to-end across the full stackPassion for scalable architecture and continuous learningTeam player who elevates others and drives impact