Senior AI Evaluation & Reliability Engineer

DESCRIPTION

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