Design, develop, and maintain robust backend systems using Python FastAPI for AI-powered applications
Integrate and optimize LLM APIs, including Anthropic's models, into our existing infrastructure
Implement efficient data processing pipelines to handle large-scale language model inputs and outputs
Develop RESTful APIs to facilitate communication between frontend applications and backend LLM services leveraging Python REST API frameworks such as Flask and FastAPI
Ensure high performance, scalability, and security of our AI-powered applications
Participate in code reviews and contribute to improving our development practices and processes
Stay up-to-date with the latest advancements in LLM technology and propose innovative solutions
Requirements
Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent experience)
2+ years of experience in backend development using Python FastAPI and other frameworks
Strong understanding of RESTful API design and implementation
Experience working with large language models (e.g., Anthropic Claude, ChatGPT) and related APIs
Familiarity with cloud platforms, preferably AWS (knowledge of AWS Bedrock is a plus)
Solid understanding of software design patterns, data structures, and algorithms
Experience with version control systems (e.g., Git) and CI/CD pipelines
Excellent problem-solving skills and attention to detail
Strong communication skills and ability to work effectively in a collaborative environment
Preferred Qualifications:
Experience with natural language processing (NLP) techniques and libraries for LLMs
Familiarity with containerization technologies (e.g., Docker, Kubernetes)
Knowledge of machine learning concepts and frameworks (e.g., TensorFlow, PyTorch)
Experience with database technologies (e.g., PostgreSQL, Clickhouse)
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