AI Engineer

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.

Requirements

• 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.