Senior AI/ML Engineer

Senior AI/ML Engineer

Position Summary

We are seeking an experienced AI/ML Engineer to accelerate the development of reusable AI products that can be deployed across operating companies. This role will focus on building scalable, production-grade AI solutions—starting with projects involving Retrieval-Augmented Generation (RAG) and multi-agent orchestration for  purposes of  internal operational flows.

The ideal candidate will have deep expertise in GCP or Azure-based AI services, strong engineering skills, and a product mindset.

Key Responsibilities

Reusable AI Product Development

• Design and build modular, reusable AI components that can be scaled across business units.
• Lead development of scalable RAG-based solutions for document comparison and using structured and unstructured data.
• Engineer multi-agent systems for intelligent task coordination and decision support.
• Develop transcription and NLP pipelines for customer interaction analysis.

Model Engineering & Deployment

• Build and fine-tune models using frameworks like PyTorch, Transformers, or LangChain.
• Package models for deployment in GCP, Azure ML, and/or Databricks ensuring scalability and maintainability.
• Integrate with Databricks for data ingestion, feature engineering, and experimentation.

Collaboration & Enablement

• Work closely with MLOps, DevOps, and data engineering teams to align on infrastructure and deployment patterns.
• Contribute to shared libraries, APIs, and templates that accelerate AI product delivery.
• Provide technical guidance to teams adopting reusable AI components.

Security, Compliance & Observability

• Ensure AI products meet enterprise-grade security and compliance standards.
• Implement monitoring for model performance, data drift, and usage metrics.