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Mid-level generalist backend role with common skills and mid-tier employer, moderate applicant density.
Core backend skills are transferable, but AI and prompt-engineering requirements add moderate domain specificity.
Multiple mandatory technical skills (Python, FastAPI, AWS, Kafka, MongoDB, prompt engineering) increase strictness.
Design, build, and maintain backend services and high-performance APIs using Python and Fast API, integrated with AWS cloud services like SQS and Lambda.
Utilize AI-driven tools and prompt engineering to enhance development efficiency and integrate AI features into applications.
Manage front-end integration with React JS and Angular JS, optimize database management with MongoDB, and lead troubleshooting, performance tuning, and DevOps CI/CD pipeline efforts.
Expert knowledge in Python programming and Fast API development.
Experience with AWS cloud services such as SQS and Lambda, and Kafka.
Hands-on experience with AI-driven development tools (e.g., GitHub Co-pilot) and prompt engineering.
Work Experience Required: Not explicitly mentioned in the JD.
Strong background in backend development combined with AI integration and prompt engineering experience reflective of advanced AI tool usage.
Capable of managing end-to-end web development lifecycle including deployment, performance tuning, and troubleshooting within Agile/Scrum environments.
Practical knowledge of cloud infrastructure (AWS), DevOps practices, and database optimization with MongoDB suitable for high-scale AI-driven applications.