GCP AI Platform Engineer — GenAI & MLOps (Remote)

Relha LLC

Hartford (CT)

Hybrid

USD 117,000 - 176,000

Full time

11 days ago

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Job summary

The Hartford is seeking an energetic AI Platform Engineer to build AI Operations services for our AI Platform team. You will collaborate with data science and business teams to deliver scalable GenAI solutions that drive smarter decisions across enterprise functions.

This role emphasizes end-to-end design, cloud-native development, and strong engineering fundamentals in AI, ML, and data technologies. Hybrid or remote work options are available, with in-office Tuesdays through Thursdays for local

Qualifications

  • Bachelor's degree in Computer Science, Computer Engineering, or a technical field.

Responsibilities

  • Develop value-added features tailored to company-specific work.
  • Research, experiment with, and implement GenAI algorithms and tools.
  • Explore services in AWS, Google Cloud, and Azure to support GenAI and ML services.
  • Enhance platform functionality with AI, ML, and modern data technologies.
  • Develop and promote best practices in AI, ML, and data engineering across teams.
  • Architect end-to-end solutions at a component level.
  • Collaborate with Enterprise Data, Data Science, Business, Cloud Enablement, and Enterprise Architecture teams.
  • Manage engineering tasks, drive execution, and optimize workflows with minimal guidance.
  • Provide technical mentorship and career growth opportunities for team members.
  • Review work of systems-level engineers to calibrate deliverables against expectations.

Skills

Python
Terraform
GCP
CI/CD
Serverless
ML/AI
Langchain
LangSmith
LlamaIndex

Education

Bachelor's degree in Computer Science or related field

Tools

GCP
BigQuery
Cloud Functions
API Gateway
GKE
Docker
Langchain

Job description

The Hartford is seeking an energetic AI Platform Engineer to build AI Operations services for our AI Platform team. You will collaborate with data science and business teams to deliver scalable GenAI solutions that drive smarter decisions across enterprise functions.

This role emphasizes end-to-end design, cloud-native development, and strong engineering fundamentals in AI, ML, and data technologies. Hybrid or remote work options are available, with in-office Tuesdays through Thursdays for local

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