Backend Python Developer

Company Description At GenNow.Ai, we’re pioneering the next wave of Agentic AI solutions — intelligent systems that understand business context, make decisions, and take action autonomously. Our focus is on building Agentic AI products that seamlessly integrate into enterprise workflows to drive efficiency, accuracy, and scalability. Our flagship product, GenQA, redefines software Quality Assurance through Agentic AI. It enables organizations to automate the end-to-end QA lifecycle, reducing manual effort and dramatically accelerating release cycles. What You'll Do As a Senior Python Backend Developer (4–8 years of experience), you’ll play a critical role in designing and scaling the backend systems that power our AI-driven automation products. Design, build, and maintain scalable backend systems using Python (FastAPI, Flask, or Django). Develop high-performance REST APIs to support AI and automation workloads. Deploy and manage backend services on cloud platforms (GCP, AWS, or Azure). Build CI / CD pipelines for automated testing, building, and deployment using GitHub Actions, GitLab CI, or Jenkins. Containerize applications using Docker and manage environments efficiently. Collaborate with AI engineers and product teams to integrate models and automate workflows. Implement robust monitoring, logging, and error handling mechanisms. Champion best practices in performance optimization, scalability, and security. What You'll Do 4–8 years of professional backend development experience. Strong command over Python, with experience in FastAPI, Flask, or Django. Hands-on experience with cloud deployments (GCP preferred, AWS or Azure acceptable). Solid understanding of Docker, CI / CD tools, and version control (Git). Experience working with SQL / NoSQL databases (PostgreSQL, Firestore, MongoDB, etc.). Familiarity with microservices architecture and event-driven design. Experience setting up automated pipelines, including testing and staging environments. Working knowledge of APM tools (Prometheus, Grafana, Cloud Monitoring). Good To Have Experience with Kubernetes, Cloud Run, or App Engine. Exposure to AI / ML pipelines, vector databases (Pinecone, Weaviate, MongoDB), or LangChain / RAG systems. Experience building internal developer platforms or DevOps tooling. Prior startup or small-team experience where you owned delivery end-to-end. Education Bachelor’s or Master’s degree in Computer Science, Engineering, or equivalent practical experience. How to apply : Send your résumé and GitHub / portfolio link to