Job Description
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Job Description
About the Role:
We are seeking a highly skilled Backend Engineer to design, build, and maintain the core infrastructure for AI-powered applications. You will work closely with machine learning engineers, data scientists, and frontend developers to create scalable, secure, and efficient backend systems that enable cutting-edge AI capabilities.
Key Responsibilities:
Preferred Qualifications:
We are seeking a highly skilled Backend Engineer to design, build, and maintain the core infrastructure for AI-powered applications. You will work closely with machine learning engineers, data scientists, and frontend developers to create scalable, secure, and efficient backend systems that enable cutting-edge AI capabilities.
Key Responsibilities:
- Design, develop, and maintain backend systems and APIs for AI-driven applications.
- Optimize database architectures and data pipelines for efficient AI model training and inference.
- Implement secure authentication, authorization, and data protection mechanisms.
- Collaborate with cross-functional teams to integrate AI models into production environments.
- Ensure system scalability, reliability, and performance through robust infrastructure design.
- Develop monitoring and logging tools for tracking system health and model performance.
- Write clean, efficient, and well-documented code following best practices.
- Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
- 8+ years of experience in backend development, with expertise in Python
- Strong experience with RESTful APIs, GraphQL, or gRPC.
- Proficiency in database design and management (SQL and NoSQL databases such as PostgreSQL, MySQL, MongoDB, or Redis).
- Experience with cloud platforms such as AWS, GCP, or Azure.
- Knowledge of containerization and orchestration tools (Docker, Kubernetes).
- Experience with distributed computing and microservices architectures.
- Strong problem-solving skills and ability to work in a fast-paced environment.
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- Knowledge of message queues (Kafka, RabbitMQ) and event-driven architectures.
- Exposure to LLMs, vector databases, and AI inference optimization.
- Understanding of DevOps practices, CI/CD pipelines, and infrastructure as code (Terraform, Ansible).
- Familiarity with MLOps and AI model deployment pipelines is a plus.
- Work on cutting-edge AI applications with a talented and passionate team.
- Opportunity to innovate and solve real-world challenges using AI.
- Competitive compensation, benefits, and career growth opportunities.
- Flexible working environment and the latest tools & technologies.
Skills
PythonDevopsGraphqlKubernetesNosql DatabasesRestfulCloudBackend DevelopmentSqlSoftware EngineerIf an employer asks you to pay any kind of fee, please notify us immediately. Jobaaj does not charge any fee from the applicants and we do not allow other companies also to do so.
Important dates & deadlines?
Application Deadline
22 Jun 26, 01:43 PM IST
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