We’re a premier AI consultancy that transforms how organizations leverage artificial intelligence. Our team combines deep technical expertise with a consultative approach to deliver innovative AI solutions that create lasting business impact.
Join Provectus as a Senior Full-stack Python Engineer/ Consultant and lead the implementation of cutting-edge cloud and AI solutions. In this role, you’ll combine deep technical expertise with strategic consulting skills to deliver transformative results for our clients.
Responsibilities:
Build and manage RESTful APIs, and microservices using frameworks such as FastAPI, Django REST, or Flask.
Work with the client to proactively identify other use cases.
Collaborate with cross-functional teams, including Data, and ML engineers to deliver high-quality products.
Build a UI for the API with React/ Vue so that non-technical consumers can use it (for instance, a search bar, filters, etc.).
Profile and optimize Python code to enhance performance.
Write clean, maintainable, and well-documented code.
Stay updated with 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 in building RESTful APIs and servers with frameworks like FastAPI, Django REST, or Flask.
Proven experience in optimizing and profiling Python code for performance.
Understanding of microservices architecture and related patterns.
Proficiency in AWS Lambda, Step Functions, and API Gateway.
Strong experience in AWS RDS like SQL or NoSQL databases, etc.
Familiar with React or Vue and ability to handle UI tasks and support 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.
