AI Engineer
Job Description
Pierce Technology Corp is seeking an AI Engineer to join their team in a remote capacity. This role focuses on designing and implementing cutting-edge AI systems that optimize for quality, performance, and cost efficiency. The position involves working with inference pipelines, retrieval-augmented generation (RAG), and multi-agent patterns while developing evaluation frameworks and simulation-based training systems. The ideal candidate will combine deep technical expertise in AI/ML with practical experience in system optimization and user experience design. This role offers the opportunity to work on advanced AI applications while ensuring production reliability and seamless integration with existing workflows. The position requires strong skills in Python and various ML frameworks, with a focus on building scalable, production-ready AI solutions.
Responsibilities For AI Engineer
- Design and implement advanced AI systems
- Architect inference and RAG pipelines
- Design manager/worker agent patterns with deterministic fallback mechanisms
- Build evaluation harnesses and develop simulation-based training pipelines
- Tune AI systems across quality, latency, and cost dimensions
- Run A/B tests and continuous feedback loops
- Collaborate with product and design teams for AI integration
Requirements For AI Engineer
- 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, test harnesses, or simulation-based training environments
- Skilled in performance tuning (latency, throughput, cost efficiency)
- Proficiency in Python and ML/AI frameworks (PyTorch, TensorFlow, LangChain, Ray, etc.)
- Experience with A/B testing, feedback loops, and integrating AI with front-end UX (bonus)
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