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 monthly
💡 What 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-code
🧩 Must-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 teams
➕ Nice 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 pipelines
🌟 What 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