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 Do- Design, build, and deploy end-to-end ML/AI services- Develop 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 delivery- Apply 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 APIs- Hands-on with Docker, Kubernetes, and serverless architectures- Solid understanding of software design principles (SOLID)- Strong collaboration and communication in cross-functional teamsNice to Have (Not mandatory)- Experience deploying ML models / LLMs in production- Knowledge of RAG, vector search, prompt engineering- Familiarity with LangChain or similar frameworks- Experience with Terraform/Pulumi and CI/CD pipelinesWhat Sets You Apart- Builder mindset with a focus on speed + quality- Strong sense of ownership and accountability- Ability to think end-to-end across the full stack- Passion for scalable architecture and continuous learning- Team player who elevates others and drives impact