
AI Backend Developer for Large Scale Systems
7 days ago
Large scale systems require robust backend infrastructure to ensure seamless performance. As an AI Backend Developer, you will be responsible for designing and implementing the complete lifecycle of large language models (LLMs) - from prompt engineering and model management to evaluation frameworks and production monitoring.
Main Responsibilities:- ">Design and implement prompt engineering systems, evaluation frameworks, and LLM performance monitoring for large scale agent deployments
- ">Develop and maintain our agentic SDK that powers multi-agent orchestration and tool-calling capabilities across enterprise systems
- ">Build LLM operations infrastructure including model serving, version control, A/B testing, and performance optimization pipelines
- ">Create comprehensive testing and evaluation suites to ensure agent reliability and measure model performance against business key performance indicators (KPIs)
- ">Work closely with the innovation team to integrate new model capabilities and optimize agent behavior for customer use cases
You will work on a range of tasks including:
- ">Developing and maintaining Python-based backend services
- ">Designing and implementing asynchronous programming patterns
- ">Building agentic systems and maintaining large-scale production systems
- ">Implementing evaluation frameworks and metrics collection for machine learning (ML) systems in production
Key Skills and Qualifications:
- ">Proficiency in Python and experience with large-scale system development
- ">Knowledge of asynchronous programming patterns and their implementation
- ">Understanding of LLMs and their applications in large-scale systems
- ">Experience with model serving, version control, A/B testing, and performance optimization pipelines
- ">Ability to design and implement comprehensive testing and evaluation suites
Benefits:
- ">Opportunity to work on cutting-edge AI technology
- ">Chance to develop skills in large-scale system development and AI
- ">Collaborative and dynamic work environment
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