Senior Full Stack Engineer responsible for developing and integrating AI tools in a HealthTech startup, providing impactful solutions for therapists' workflows.
About the role
- Software Engineer at BlueCat developing AI-powered applications with Python and FastAPI. Work on innovative language model applications and backend infrastructure management.
Responsibilities
- 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)
Benefits
- A Professional Development Budget
- Dedicated Wellness Days and Wellness Week
- A Lifestyle Spending Account
- An Employee Recognition Program
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
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