Join Our Team: AI Software Engineer

Position Overview

We are seeking a Mid-Level AI Software Engineer with solid Python expertise (Rust experience a plus) to join our AI development team. In this role, you will build, maintain, and optimize AI-driven software components that power our intelligent applications and services.

Key Responsibilities

• Design, implement, and maintain Python code for data ingestion, preprocessing, and feature engineering pipelines.
• Collaborate closely with data scientists to productionize machine learning models into reliable, scalable services.
• Develop backend components (in Python and, where appropriate, Rust) for low-latency inference and real-time data processing.
• Write clean, maintainable code complete with unit and integration tests; participate in code reviews.
• Deploy and monitor AI services on cloud platforms (AWS, GCP, or Azure) using Docker and Kubernetes.
• Optimize performance, memory usage, and reliability of AI workflows and microservices.
• Contribute to architectural discussions, design documentation, and technical roadmaps.

Requirements

• 3+ years of professional software engineering experience using Python in production environments.
• Familiarity with ML frameworks such as TensorFlow, PyTorch, or scikit-learn, and experience integrating trained models into code.
• Experience building RESTful APIs or microservices (e.g., FastAPI, Flask) for model serving.
• Working knowledge of containerization (Docker) and orchestration (Kubernetes) for deploying AI applications.
• Rust programming experience is a strong advantage for performance-critical modules.
• Solid grasp of software engineering best practices: Git, CI/CD pipelines, automated testing, and Agile methodologies.
• Strong debugging and problem-solving skills, with a focus on code optimization and reliable system behavior.
• Bachelor’s degree in Computer Science, Software Engineering, or a related field (or equivalent practical experience).
• Excellent communication skills and ability to collaborate across cross-functional teams.