A self-driven individual contributor who can independently own features end-to-end including building and rigorously testing GenAI applications is comfortable navigating ambiguity, and enjoys building robust, scalable, production-grade systems.
We are looking for a strong hands-on Python Developer with 48 years of experience building scalable backend systems and microservices along with proven experience developing and testing GenAI applications The ideal candidate has practical exposure to AIML and GenAI integrations automation containerized deployments and cloud infrastructure and thrives in a fast-paced ownership-driven environmentDesign develop and maintain microservices using Python and FastAPI
Build write and test GenAI applications LLM-based features RAG pipelines agentic workflows prompt-driven apps
Develop automation scriptsframeworks to streamline workflows and testing processes
Integrate AIML and GenAI models into production-grade APIs and systems
Deploy manage and scale applications on Kubernetes
Work with cloud platforms AWS GCP or Azure for infrastructure storage and compute
Write clean productive well-tested and maintainable code
Collaborate with cross-functional teams Product DevOps Data Science to deliver end-to-end solutions
Optimize application performance scalability and reliability
Participate in code reviews architecture discussions and technical design decisions
Troubleshoot and resolve production issues with minimal supervision