Pierce Technology Corp

Compensation

Full Description

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.