Senior Full Stack Engineer (Python / React)

Design and develop scalable backend services and RESTful APIs Build and maintain modern full-stack applications using Python and React Design and integrate AI-powered features including LLM integrations, machine learning models, and RAG-based architectures with vector search capabilities Work with vector databases and AI orchestration frameworks such as LangChain Design efficient data models and optimize database performance Architect and maintain microservices-based systems Lead integrations with third-party platforms through APIs, data pipelines, and automation workflows Develop data analytics and predictive processing components Implement automation pipelines and workflow orchestration Ensure high performance, scalability, reliability, and security of systems Write unit tests, integration tests, and maintain testing coverage Participate in system design discussions, code reviews, and architecture planning Contribute to architectural decisions and mentor other engineers where needed Higher education in Computer Science, Software Engineering, or a related field 6+ years of full-stack software development experience building and maintaining production-grade web applications Strong proficiency in Python and backend frameworks such as Django or FastAPI Experience with PostgreSQL, database design and data modeling Strong experience with React.js / Typescript and modern frontend development (experience with Vue.js or Angular is a plus) Experience with cloud platforms, particularly AWS or GCP services Solid understanding of RESTful APIs, microservices, and system architecture Familiarity with CI/CD pipelines Experience with containerized applications (Docker, Kubernetes) Fluent English and proven experience working in agile and distributed teams Excellent communication and problem-solving skills Nice to Have Experience with vector databases such as Pinecone, Weaviate, Milvus, or pgvector Experience building RAG-based AI systems Experience with LangChain, LlamaIndex, or similar AI orchestration frameworks Experience with workflow automation platforms such as n8n, Make, or Airflow Experience with data analytics, BI platforms, or large-scale data processing Experience working on AI-enabled products or intelligent automation systems