Principal Engineer - Artificial Intelligence

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 strategies.

Managerial/Leadership :

- 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.