Ind - Senior Engineer, Data

The Hartford

Ai data pipeline implementation
Real-time data streaming with kafka
Rag architecture development
The role involves implementing AI data pipelines that integrate structured, semi-structured, and unstructured data to support Agentic solutions

Job Summary

  • The role involves implementing AI data pipelines that integrate structured, semi-structured, and unstructured data to support Agentic solutions.
  • Candidates will build scalable real-time data streaming pipelines using technologies like Apache Kafka and AWS Kinesis.
  • The position requires developing Retrieval-Augmented Generation (RAG) architectures and integrating them with enterprise data infrastructure.

Matching Summary

The role involves implementing AI data pipelines that integrate structured, semi-structured, and unstructured data to support Agentic solutions.

Skills & Requirements

Must-have

  • AI data pipeline implementation
  • Real-time data streaming with Kafka
  • RAG architecture development
  • Python and Spark programming
  • Vector and graph database expertise
  • Cloud platform experience AWS Azure GCP

Nice-to-have

  • Agentic solution development
  • Prompt engineering techniques
  • Deep learning frameworks PyTorch TensorFlow
  • Collaborative agile team environment
  • Knowledge graph modeling skills

Key Requirements

  • Bachelor's degree in Computer Science or related field
  • 3+ years of data engineering experience
  • 2+ years of cloud platform experience
  • 1+ years of AI technology data engineering
  • 1+ years of prompt engineering experience
  • 1+ years of RAG pipeline implementation

Work Rights

Not specified

Tailored Resume

Cover Letter