Principal AI Engineer at Cornerstone - ScoutJobs - The AI-curated global job board
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Cornerstone
Posted a day ago

Principal AI Engineer

CornerstonePrincipal AI Engineer

Requirements

Bachelor's, Master's, or PhD in Computer Science or related field, 6+ years in software engineering, 2+ years building and deploying AI/ML applications at scale, Proficiency in Python, Java, Scala, or C++, Expertise in cloud platforms (AWS, Azure, GCP), Experience with ML frameworks (TensorFlow, PyTorch, Hugging Face), Knowledge of distributed systems (Kubernetes, Docker, Spark)

Skills

AIMachine LearningPythonAWSPyTorchTensorFlowKubernetesLLM

About the role

Responsibilities

  • Lead the hands-on development, deployment, and continuous improvement of sophisticated AI-driven features within the Galaxy ecosystem.
  • Architect and scale modern, distributed AI systems, including training pipelines, streaming data processing, and MLOps infrastructure.
  • Design and build production AI/ML models focusing on NLP, Deep Learning, Recommender Systems, LLMs, and Generative AI.
  • Deploy intelligent, autonomous AI agents and multi-agent systems capable of complex reasoning and decision-making.
  • Optimize cloud-native AI workloads using Kubernetes, Docker, and Spark across AWS, GCP, or Azure.
  • Establish gold standards for AI safety, fairness, and explainability through rigorous evaluation protocols and bias detection.
  • Champion software engineering excellence by driving best practices in secure coding, peer review, and responsible AI design.

Requirements

  • Bachelor's, Master's, or PhD in Computer Science, Engineering, Machine Learning, or a related field.
  • 6+ years of experience in software engineering.
  • 2+ years of hands-on experience building, deploying, and optimizing AI/ML applications at enterprise scale.
  • Deep expertise in AI/ML model development (NLP, LLMs, Generative AI) and cloud production environments.
  • Proficiency in modern programming languages such as Python, Java, Scala, or C++.
  • Advanced experience with ML frameworks including TensorFlow, PyTorch, or Hugging Face.
  • Strong knowledge of distributed systems and containerization using Kubernetes and Docker.
  • Solid understanding of MLOps, CI/CD, and scalable data engineering (ETL, batch, and stream processing).

Preferred Qualifications

  • Prior experience working in HR tech, SaaS, or enterprise software environments.
  • Experience with vector databases such as FAISS or Pinecone.
  • Knowledge of multi-agent orchestration and prompt engineering.

About the Company

Cornerstone is a premier people development company that powers the future-ready workforce with modern, AI-driven employment solutions. Our platform enables companies to develop, manage, and engage their talent, unlocking growth and innovation for over 100 million users across 180 countries.

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Principal AI Engineer

Cornerstone · Hyderabad

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