AI Back-End Engineer Offline

We are looking for a talented and experienced Mid-Level AI Back-End Developer (Python) to become part of our dynamic team, contributing to the development of a core backend application for a pioneering MedTech startup. As an integral member of our development group, you will be essential in designing and building a state-of-the-art application from the ground up.

• Create, test, and maintain robust software solutions using Python.
• Design and build APIs with FastAPI.
• Utilize Pydantic for data validation and serialization tasks.
• Leverage SQLAlchemy for object-relational mapping (ORM) and database operations.
• Administer and optimize PostgreSQL databases.
• Develop and deploy serverless applications.
• Design, implement, and manage cloud infrastructure on AWS.
• Implement infrastructure as code using tools such as Terraform or CloudFormation.
• Monitor, troubleshoot, and optimize system performance and cost efficiency in AWS environments.
• Collaborate with cross-disciplinary teams to define, design, and deploy new features.

Requirements:

• Strong experience with Python and related frameworks
• Strong AWS experience, specifically with SageMaker and Bedrock implementations
• Proven experience integrating AI/ML services with application frontends
• Deep knowledge of AWS infrastructure for AI workloads
• Experience using the Python CDK for Infrastructure as Code
• Proficiency in PostgreSQL and database management.
• Experience with AWS services, including Lambda, Cognito, ECS, API Gateway, Fargate, RDS, EC2, S3, and CloudWatch.
• Experience with serverless architecture and microservices.
• Solid understanding of infrastructure as code principles and tools (e.g., Terraform, CloudFormation).
• Proficiency in containerization technologies such as Docker and container orchestration with Kubernetes or ECS.
• Experience with monitoring and logging tools in cloud environments.
• Solid understanding of software development best practices, including code reviews, unit testing, and version control.
• Excellent problem-solving skills and attention to detail.
• Ability to work in a collaborative team environment.
• Strong communication skills in English, with a proficiency level of B2 or higher.

Preferred qualifications:

• AWS certifications (e.g., AWS Certified DevOps Engineer, AWS Certified Solutions Architect).

• Experience with configuration management tools

• Knowledge of security best practices in cloud environments.

• Familiarity with AI/ML deployment workflows.

Familiar with CI/CD pipelines for automated testing and deployment.

• Proven experience in DevOps practices and tools (e.g., Jenkins, GitLab CI, GitHub Actions).

We offer a unique opportunity to be part of a fully-funded startup with a proven track record of success in the MedTech space. Our team is composed of industry experts, and we are building a distributed team of top talent. This is a long-term opportunity for growth and innovation in a dynamic and exciting environment.

The core development, product, and project management team is based in Ukraine, while the Product Owners and Managers are located in the United States.