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AI Engineer at Pierce Technology Corp. We’re looking for an . AI Engineer. to design, implement, and optimize advanced AI systems that balance quality, performance, and cost. You’ll work on inference pipelines, retrieval-augmented generation (RAG), and multi-agent patterns while building evaluation harnesses and simulation-based training frameworks. This role combines deep technical skill with a strong focus on real-world reliability and user experience.. System Design:. Architect inference and RAG pipelines; design manager/worker agent patterns with deterministic fallback mechanisms for reliability. . Evaluation & Training:. Build robust evaluation harnesses and develop simulation-based training pipelines to improve model robustness. . Optimization:. Tune AI systems across quality, latency, and cost dimensions, ensuring scalable production performance. . Experimentation:. Run A/B tests and continuous feedback loops to measure system performance and guide improvements. . User Experience:. Collaborate with product and design teams to ensure AI outputs integrate into workflows with intuitive, high-quality UX.. . 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.). . . Bonus: Experience with . A/B testing. , . feedback loops. , and integrating AI with front-end UX.. . Company Location: United States.