What are the responsibilities and job description for the Python Developer with RAG (AI/LLM) @Bellevue WA (F2F Interview) position at e-IT Professionals Corp.?
Job Details
Role: Backend Engineer
Location: Bellevue WA (Hybrid)
We are seeking a highly skilled Backend Engineer to join our T-Mobile project team. The ideal candidate will have strong expertise in Python-based backend development, building and optimizing microservices, and ensuring seamless data integration and performance at scale. The role involves working on enterprise-grade systems supporting high availability, low latency, and large-scale data operations.
Key Responsibilities:
- Design, develop, and maintain scalable backend microservices using Python and Flask.
- Integrate and optimize APIs, ensuring high performance and responsiveness.
- Deploy and manage applications using Gunicorn and containerized environments.
- Work closely with frontend, data, and DevOps teams to deliver end-to-end solutions.
- Implement data storage and caching mechanisms using MySQL, Redis, and Memcache.
- Develop and maintain data processing logic using NumPy, Pandas, and PyMySQL for analytics and reporting modules.
- Ensure code quality, security, and performance tuning across backend services.
- Participate in code reviews, unit testing, and CI/CD pipeline integration.
- Troubleshoot production issues and perform root cause analysis for performance bottlenecks.
Required Technical Skills:
- Programming: Python (Flask framework), strong knowledge of RESTful API design
- Web Server: Gunicorn / uWSGI
- Database: MySQL, PyMySQL
- Caching: Memcache, Redis
- Data Processing: NumPy, Pandas
- Architecture: Microservices-based application design
- Version Control: Git / GitHub
- Testing: Unit Testing, PyTest or similar frameworks
- Deployment: Experience with Docker, CI/CD (Jenkins, GitLab CI), basic knowledge of Kubernetes preferred
Preferred Qualifications:
- Experience in large-scale telecom or enterprise environments (T-Mobile or similar domains).
- Familiarity with RAG (AI/LLM) integration or working in AI-augmented backend environments is a plus.
- Knowledge of cloud platforms (AWS, Azure, or Google Cloud Platform) for deployment and scalability.
- Strong problem-solving skills and ability to collaborate across multi-functional teams.
Soft Skills:
- Strong communication and teamwork abilities.
- Ability to work in an agile, fast-paced environment.
- Analytical mindset with attention to detail.
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