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Principal Engineer - Artificial Intelligence

Principal Engineer - Artificial Intelligence

PylonBangalore
16 days ago
Job description

Job Description :

  • Build and deploy AI-powered applications(chatbots, copilots, automation flows) for banking operations and customer service.
  • Design and implement RAG pipelines and AI agents for secure financial data insights.
  • Fine-tune and optimize LLMs using LoRA, QLoRA, and other PEFT techniques.
  • Develop end-to-end LLMOps pipelines(training, evaluation, deployment, monitoring).
  • Expose backend APIs / microservices to integrate LLMs into banking platforms.
  • Deploy scalable AI models on AWS / Azure with Docker, Kubernetes, CI / CD, while ensuring security and

compliance.

Secondary :

  • Collaborate with product managers, data scientists, and compliance teams to translate business needs into AI solutions.
  • Create reusable AI components, SDKs, and templates for faster adoption.
  • Support data engineering pipelines(ETL / ELT, Spark, Airflow).
  • Conduct A / B testing and feedback collection for continuous model improvement.
  • Explore emerging GenAI tools, open-source models, and fine-tuning :
  • Mentor and lead a team of AI engineers, promoting best practices in LLMOps and GenAI.
  • Drive cross-functional collaboration to align AI solutions with business goals.
  • Oversee project delivery, resource planning, and ensure quality standards.
  • Key Success Metrics :

  • Improved accuracy and performance of domain-specific AI models.
  • Reliable and frequent AI deployments with minimal downtime.
  • Low-latency and high throughput for customer-facing systems.
  • Reduction in infrastructure and operational costs via PEFT.
  • 99.9%+ uptime of production AI services.
  • Early detection of model drift and anomalies.
  • Tangible business impact(e. g., faster service, better fraud detection).
  • Strong compliance with security and regulatory frameworks.
  • High adoption of AI components across teams.
  • Requirements :

  • Experience : 11-15 years in AI / ML Engineering, with exposure to LLMs, MLOps, and GenAI projects.
  • Graduate : Bachelor's or Master's in Computer Science, Data Science, or related field.
  • (ref : hirist.tech)

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