Remote AI Engineering Lead — Full-Stack & ML Platforms

INC Huron Consulting Group Inc.

United States

Remote

USD 140,000 - 170,000

Full time

13 days ago

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Job summary

Huron Consulting Group Inc. is seeking a seasoned software engineer to help build the next generation of AI-enabled solutions for our clients. You will work full-stack on AWS/Azure, collaborate with business users day-to-day, and ensure quality through testing and evaluations.

Ideal candidates have 5-8 years of software or AI experience, strong Python and TypeScript skills, and experience with REST APIs, Docker/Kubernetes, and CI/CD pipelines. A CS/engineering degree or equivalent is required.

Qualifications

  • 5 to 8 years building software or AI, including 1 to 2 years leading.
  • Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience.
  • Experience with full-stack development on cloud platforms (AWS/Azure).

Responsibilities

  • Build the features. Full-stack on AWS and Azure using Claude and other models.
  • Work with users. Sit with the business day to day and build with them.
  • Keep quality up. Tests and evaluations on everything that ships.
  • Work to the design. Build within the agreed solution design, and flag what the design misses.
  • Raise the bar. Set the engineering standard in the pod and support less experienced engineers.

Skills

Python
TypeScript
React
RAG
agent experience
Docker
Kubernetes
CI/CD
REST APIs
AWS/Azure
LLM observability

Education

Bachelor’s degree in Computer Science or related field

Tools

Terraform
Bicep
Vector databases

Job description

Huron Consulting Group Inc. is seeking a seasoned software engineer to help build the next generation of AI-enabled solutions for our clients. You will work full-stack on AWS/Azure, collaborate with business users day-to-day, and ensure quality through testing and evaluations.

Ideal candidates have 5-8 years of software or AI experience, strong Python and TypeScript skills, and experience with REST APIs, Docker/Kubernetes, and CI/CD pipelines. A CS/engineering degree or equivalent is required.

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