Production GenAI Engineer: LLM & Workflow Architect

Infinite Electronics, Inc.

United States

On-site

USD 120,000 - 160,000

Full time

14 days+
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Benefits offered by this job

Diverse workforce commitment
Equal employment opportunities

Job summary

Infinite Electronics, Inc. is seeking a Generative AI Engineer to lead hands-on technical delivery of production GenAI systems. Responsibilities include designing and building generative AI systems, ensuring operational reliability and cost efficiency, and defending architectural decisions. The ideal candidate has deep experience in production-grade LLMs and cloud-native environments, alongside a degree in a related field. This role offers remote work options and requires strong collaboration skills.

Qualifications

  • Demonstrated experience shipping production-grade LLM or generative AI systems.
  • Strong track record designing, building, and operating complex distributed systems.
  • Experience with CI/CD pipeline design and operation for AI services.

Responsibilities

  • Design and build production-grade generative AI systems.
  • Own operational outcomes for production AI systems.
  • Implement and maintain monitoring and alerting frameworks.

Skills

Production-grade LLM or generative AI systems experience
Automated evaluation pipelines for LLM outputs
Human-in-the-loop controls implementation
Reliable distributed systems operation
CI/CD pipeline design and operation
Defining engineering standards and best practices

Education

Bachelor's degree in Computer Science, Engineering, Data Science or related field

Tools

Azure OpenAI
Python frameworks (FastAPI, asyncio, Pydantic)
Docker

Job description

Infinite Electronics, Inc. is seeking a Generative AI Engineer to lead hands-on technical delivery of production GenAI systems. Responsibilities include designing and building generative AI systems, ensuring operational reliability and cost efficiency, and defending architectural decisions. The ideal candidate has deep experience in production-grade LLMs and cloud-native environments, alongside a degree in a related field. This role offers remote work options and requires strong collaboration skills.
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