We're a premier AI consultancy that transforms how organizations leverage artificial intelligence. As a Senior Full-stack Python Engineer/ Consultant at Provectus, you'll lead the implementation of cutting-edge cloud and AI solutions. Combining deep technical expertise with strategic consulting skills, you'll deliver transformative results for our clients. Responsibilities: - Create and manage RESTful APIs and microservices using frameworks like FastAPI, Django REST, or Flask. - Collaborate with clients to identify new use cases proactively. - Work closely with cross-functional teams, including Data and ML engineers, to deliver high-quality products. - Develop user interfaces for APIs using React/Vue, allowing non-technical users to interact with them. - Analyze and optimize Python code to enhance performance. - Write clean, maintainable, and well-documented code. - Stay updated on the latest Python and AI technology developments and propose innovative solutions. Requirements: - Strong proficiency in Python or TypeScript programming. - Solid understanding of object-oriented programming (OOP) and software design patterns. - Experience building RESTful APIs and servers with frameworks like FastAPI, Django REST, or Flask. - Proven ability to optimize and profile Python code for performance. - Understanding of microservices architecture and related patterns. - Proficiency in AWS Lambda, Step Functions, and API Gateway. - Experience working with AWS RDS, such as SQL or NoSQL databases. - Familiarity with React or Vue and ability to handle UI tasks and basic frontend applications. - Solid software engineering skills, with the ability to produce well-structured, maintainable code. - Experience with unit testing and test-driven development. - Excellent communication and problem-solving skills. - Upper-intermediate or Advanced English skills. Nice to Have: - Knowledge of generative AI and experience with Retrieval Augmented Generation (RAG) architectures. - Experience with CI/CD pipelines and automation. - Experience with Docker for containerization and Kubernetes for orchestration.