Hybrid AI Software Engineer

at BlueCat

• Job title: AI Software Engineer
• Job type: Full Time
• Experience level: Junior, Mid level
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: AWS, Cloud, Docker, Flask, Kubernetes, Postgres, Python, PyTorch, Tensorflow
• Location requirements: Hybrid, Belgrade, Serbia

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