We are looking for an experienced Senior Software Engineer - Python / AI Engineer to join the Internal Development Team.

Requirements

3–5+ years of professional experience as a Python Developer, AI Engineer
Strong proficiency in Python 3.x, including asynchronous programming, REST API development
Experience with frameworks such as FastAPI, FastMCP, Flask, or Django.
Practical experience building or integrating AI-powered solutions in production or near-production environments.
Experience working with LLM APIs and AI platforms, such as OpenAI, Anthropic, AWS Bedrock, Google Vertex AI, or similar.
Ability to integrate AI capabilities into existing services, internal tools, and automation workflows.
Strong experience with API integrations, including authentication, OAuth2, webhooks, error handling, retries, rate limits, and secure data exchange.
Solid understanding of SQL and relational databases such as PostgreSQL or MySQL.
Experience troubleshooting API integrations, data synchronization issues, automation failures, and production defects.
Basic proficiency in HTML, CSS, and JavaScript to support lightweight frontend interfaces or internal admin dashboards.
Experience with Docker and Kubernetes.
Familiarity with GitLab CI/CD or similar CI/CD pipelines.
Understanding of secure coding practices, secrets management, access control, and secure data handling.
Strong analytical, debugging, and problem-solving skills.
Excellent communication skills and ability to work with both technical and non-technical stakeholders.

Benefits

Requirements

3–5+ years of professional experience as a Python Developer, AI Engineer

Strong proficiency in Python 3.x, including asynchronous programming, REST API development

Experience with frameworks such as FastAPI, FastMCP, Flask, or Django.

Practical experience building or integrating AI-powered solutions in production or near-production environments.

Experience working with LLM APIs and AI platforms, such as OpenAI, Anthropic, AWS Bedrock, Google Vertex AI, or similar.

Ability to integrate AI capabilities into existing services, internal tools, and automation workflows.

Strong experience with API integrations, including authentication, OAuth2, webhooks, error handling, retries, rate limits, and secure data exchange.

Solid understanding of SQL and relational databases such as PostgreSQL or MySQL.

Experience troubleshooting API integrations, data synchronization issues, automation failures, and production defects.

Basic proficiency in HTML, CSS, and JavaScript to support lightweight frontend interfaces or internal admin dashboards.

Experience with Docker and Kubernetes.

Familiarity with GitLab CI/CD or similar CI/CD pipelines.

Understanding of secure coding practices, secrets management, access control, and secure data handling.

Strong analytical, debugging, and problem-solving skills.

Excellent communication skills and ability to work with both technical and non-technical stakeholders.