Experience: A minimum of 6 to 10 years of professional experience in Python software development is required.
Expertise in Python: Candidates must possess profound knowledge of the Python language, its associated ecosystems, and popular frameworks (e.g., Django, Flask, FastAPI).
Software Design: A strong command of software design principles, architectural patterns (e.g., Microservices, Model-View-Controller [MVC]), and object-oriented programming is essential.
Database Skills: Proficiency with relational database systems (e.g., PostgreSQL, MySQL) and/or NoSQL databases (e.g., MongoDB, Cassandra) is mandatory.
API Development: Extensive experience in the design and construction of RESTful Application Programming Interfaces (APIs) is required.
LLM Frameworks: Direct, hands-on experience with Large Language Model (LLM) tools and frameworks (e.g., LangChain, OpenAI APIs) is necessary.
NLP: Demonstrated knowledge of Natural Language Processing (NLP) concepts and techniques.
Cloud Platforms: Experience operating within major cloud platforms (e.g., Amazon Web Services [AWS], Microsoft Azure, Google Cloud) and familiarity with their associated services.
Containerization: Practical experience utilizing Docker for containerization and orchestration tools such as Kubernetes.
CI/CD: Familiarity with Continuous Integration/Continuous Delivery (CI/CD) pipelines and tools (e.g., Jenkins, GitLab CI, GitHub Actions).
Testing: A robust understanding of testing methodologies and proven experience with unit, integration, and end-to-end testing.
Version Control: Proficiency with GitHub and adherence to collaborative development workflows.
Problem-Solving: A proven ability to analyze complex technical challenges and formulate creative, effective solutions.
Analytical Thinking: Strong problem-solving and analytical thinking capabilities.
Communication: Excellent communication and stakeholder management skills.
Work Ethic: The capacity to work effectively both independently and within a team environment.
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