Remote Opportunity

Senior AI Evaluation & Reliability Engineer

Join abra as a senior professional working remotely from Worldwide. Explore the role, benefits, and apply in one place.

Full Time
$120,000 - $180,000*
2 months ago
Worldwide
AI Governance & Programs
Senior
Python
PyTorch
TensorFlow
+5 more

Job 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

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

Benefits

  • 401k Matching
  • Certification Support
  • Flexible Hours
  • Health Insurance
  • Home Office Budget
  • Learning Budget
  • Performance Bonus
  • Remote Work

Skills

Python
PyTorch
TensorFlow
Scikit-learn
XGBoost
Pandas
LightGBM
NumPy

About AI-Estimated Salary

The salary range shown was not provided by the employer. Our AI has estimated it based on the job title, required experience, location, and industry standards (confidence: 80%). This estimate should be used as a general guide only and may not reflect the actual compensation. Always confirm salary details directly with the employer during the application process.

Ready to Apply?

Join abra today

Salary Range (AI-Estimated)*
$120,000 - $180,000
80% confidence
Posted 2 months ago

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