Python Software Engineer — AI/ML Integration & AI Agents

Job Description

DevOps — Basic Knowledge Expected

We do not expect the candidate to be a dedicated DevOps Engineer, but basic practical DevOps experience is desirable.

Examples include:

• Docker and containerization
• CI/CD pipelines
• GitHub Actions, GitLab CI, Jenkins, or similar tools
• Linux application deployment
• Environment and configuration management
• Basic networking and troubleshooting
• Application logging and monitoring
• Basic understanding of Kubernetes is a plus

Nice to Have

• C/C++ knowledge and experience integrating Python with native libraries
• Experience with edge AI or embedded AI systems
• Experience optimizing neural network inference
• Experience with NVIDIA Jetson, ARM, NPU, GPU, or similar hardware accelerators
• Experience with gRPC, WebSockets, or event-driven architectures
• Experience with MQTT, Kafka, RabbitMQ, or similar messaging technologies
• Experience with PostgreSQL, SQLite, Redis, or other databases
• Experience with MLflow or other MLOps tooling
• Experience with microservices
• Experience developing SDKs or APIs for third-party integrations

Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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