Job Summary
A company is looking for an AI Engineer to design, implement, and optimize advanced AI systems.
Key Responsibilities
- Architect inference and retrieval-augmented generation (RAG) pipelines, ensuring reliability through deterministic fallback mechanisms
- Build robust evaluation harnesses and develop simulation-based training pipelines to enhance model robustness
- Optimize AI systems for quality, latency, and cost, while running A/B tests to measure performance and guide improvements
Required Qualifications
- Strong background in machine learning, AI systems, or applied research
- Hands-on experience with inference optimization and retrieval-augmented generation (RAG)
- Familiarity with multi-agent or distributed system design
- Experience building evaluation frameworks and simulation-based training environments
- Proficiency in Python and ML/AI frameworks such as PyTorch and TensorFlow
Comments