Responsibilities
- Write reusable, testable, and efficient code
- Developing back-end components to improve responsiveness and overall performance
- Debugging programs and integrating applications with third-party web services.
- Design and implementation of low-latency, high-availability, and performant applications
- Implementation of security and data protection
- Integration of data storage solutions like Databases, File systems, object storage systems, and similar solutions.
- Performance tuning, improvement, balancing, usability, automation
- Translate business requirements into suitable AI algorithms
- As part of the data science team, contribute to building new AI products
- Ensure our AI applications are highly available and highly scalable
Requirements
- 2-4 years of work experience as a Python Developer
- Hands-on experience building production APIs using Flask or FastAPI.
- Experience in LLM APIs such as OpenAI and Gemini, is mandatory
- Strong in building high-performance APIs to serve complex AI models
- Experience working with databases such as MongoDB, Elasticsearch or PostgreSQL.
- Self-motivated individual with good problem-solving skills
- Bachelors in Computer Science, Engineering or relevant field
Benefits
- Competitive salary and performance-based growth
- Opportunity to work on cutting-edge AI, LLM, and agent-based applications
- Exposure to scalable, high-performance backend architectures
- High ownership and fast career progression
