Senior Python Full Stack Engineer - Provectus : Job Details

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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.

• Build and manage RESTful APIs and microservices using frameworks such as FastAPI, Django REST, or Flask
• Work with clients to proactively identify use cases
• Collaborate with cross-functional teams, including Data and ML engineers, to deliver high-quality products
• Develop a UI for the API with React or Vue.js to enable non-technical users to interact with it (e.g., search bar, filters)
• Profile and optimize Python code for performance
• Write clean, maintainable, and well-documented code
• Stay updated with latest Python and AI technology developments and propose innovative solutions

• Strong proficiency in Python or TypeScript
• 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 experience optimizing and profiling Python code
• Understanding microservices architecture and related patterns
• Proficiency in AWS Lambda, Step Functions, and API Gateway
• Experience with AWS RDS, SQL, or NoSQL databases
• Familiarity with React or Vue.js for frontend tasks
• Experience developing AI solutions and automation workflows using AWS Bedrock, SageMaker, and ML frameworks
• Strong software engineering skills for producing well-structured, maintainable code
• Experience with unit testing and test-driven development
• Excellent communication and problem-solving skills
• Upper-intermediate or advanced English skills

• Knowledge of generative AI and Retrieval Augmented Generation (RAG) architectures
• Experience with CI/CD pipelines and automation
• Experience with Docker and Kubernetes for containerization and orchestration

• Not Applicable

• Full-time

• Engineering and Information Technology

• Hospitality, Food and Beverage Services, Retail