We're looking for aSenior Python Engineerto build and scaleAI-powered productsthat move beyond experimentation into real-world impact. This role sits at the intersection ofsoftware engineering and machine learning, owning the full lifecycle — from prototyping to production. Payment in USD monthlyWhat You'll Do Design, build, and deployend-to-end ML/AI services Developscalable, cloud-native architectures on GCP(Cloud Run, Kubernetes, Pub/Sub, Cloud Functions) IntegrateLLMs & transformer modelsinto production pipelines (prompt engineering, inference, error handling) Buildrobust Python backendsand client-facing APIs (REST/gRPC) Leadarchitecture decisionsand drive projects from concept to delivery Apply best practices:CI/CD, testing, observability, infrastructure-as-codeMust-Have Skills (Mandatory) 6+ years inbackend/full-stack engineering (Python-focused) Strong experience withcloud-native development (GCP preferred) Expertise inmicroservices, event-driven systems, and APIs Hands-on withDocker, Kubernetes, and serverless architectures Solid understanding ofsoftware design principles (SOLID) Strong collaboration and communication incross-functional teamsNice to Have (Not mandatory) Experience deployingML models / LLMs in production Knowledge ofRAG, vector search, prompt engineering Familiarity withLangChain or similar frameworks Experience withTerraform/Pulumi and CI/CD pipelinesWhat Sets You Apart Builder mindset with a focus onspeed + quality Strong sense ofownership and accountability Ability to thinkend-to-end across the full stack Passion forscalable architecture and continuous learning Team player whoelevates others and drives impact