
Senior Backend Software Engineer
2 days ago
We are seeking a dedicated professional with strong Python expertise to join our technology consulting team focused on AI solutions.
As a key member of our engineering team, you will design, build, and maintain server-side components that power our AI-powered applications and integrate with machine learning systems. Your work will be crucial in creating robust, scalable, and high-performance backends that turn innovative AI concepts into production-ready applications.
Main Responsibilities:- Design, develop, and maintain high-performance backend services and APIs supporting AI-driven applications.
- Collaborate with data engineers and ML/NLP experts to create seamless integration between backend systems and AI models.
- Implement RESTful APIs and interfaces for AI model deployment, inference, and monitoring.
- Develop and optimize database schemas, queries, and data access patterns for AI-driven applications.
- Build robust, fault-tolerant systems that handle large volumes of data and requests efficiently.
- Implement authentication, authorization, and security measures to protect sensitive data.
- Create and maintain documentation for APIs, backend services, and processes.
- Participate in code reviews, architectural discussions, and technical planning.
- Troubleshoot and resolve complex backend issues in production environments.
- Bachelor's degree in Computer Science, Software Engineering, or related field.
- At least 2 years of experience in backend development with a focus on Python.
- Expertise in Python web frameworks such as FastAPI, Django, or Flask.
- Strong knowledge of RESTful API design, development, and documentation.
- Experience with database technologies, including SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis).
- Proficiency in API integration, microservices architecture, and containerization (Docker, Kubernetes).
- Experience with asynchronous processing, task queuing systems (Celery, RabbitMQ), and WebSockets.
- Familiarity with cloud platforms (AWS, Azure, GCP) and serverless architectures.
- Understanding of AI/ML deployment requirements and support for data science teams.
- Knowledge of security best practices and authentication systems (OAuth, JWT).
- Excellent problem-solving skills and attention to detail.
- Good communication skills in English.
- Experience with real-time data processing frameworks (Kafka, Apache Flink).
- Knowledge of GraphQL and API gateway solutions.
- Experience with CI/CD pipelines and DevOps practices.
- Understanding of ML model serving platforms (TensorFlow Serving, MLflow, BentoML).
- Experience with performance optimization and scalability of backend systems.
This is an excellent opportunity to contribute to cutting-edge AI projects and advance your career as a skilled backend developer.
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