Senior AI Evaluation & Reliability Engineer

abra R&D is looking for a Staff AI Engineer! abra R&D is looking for an AI Engineer that will take part of building a next-generation agentic analytics platform powered by a real-time, AI-optimized data infrastructure. We are looking for an experienced AI Engineer to design, build, and deploy intelligent systems that operate at scale and in real time. This role is hands-on and product-oriented, focusing on developing, integrating, and productionizing AI and machine learning models as part of a complex, high-performance platform. What You Will Do: Design, develop, and deploy AI and machine learning models into production systems Build scalable AI services that operate on large-scale and real-time data Implement deep learning and machine learning solutions using modern frameworks Integrate AI models into end-to-end product flows and backend systems Collaborate closely with software engineers and AI teams to deliver production-ready solutions Optimize model performance, reliability, and scalability in real-world environments Develop and maintain data pipelines and model-serving infrastructure Contribute to the evolution of AI-powered, agent-based systems and analytics capabilities Requirements 3+ years of experience in AI engineering, machine learning engineering, or applied ML in production Strong programming skills in Python Hands-on experience with PyTorch or TensorFlow Experience implementing ML models using frameworks such as scikit-learn, XGBoost, or LightGBM Solid experience with data processing tools (Pandas, NumPy, Spark) Experience working with large-scale or real-time data systems Strong software engineering mindset with a focus on reliability and maintainability Strong Advantages Experience deploying AI models in production environments Familiarity with LLM-based systems, AI agents, or agentic workflows Experience with event-driven or real-time analytics systems Background in AI-powered platforms or data-driven products