GenAI Production Architect

eClerx

Dallas (TX)

On-site

USD 105,000 - 125,000

Full time

14 days+

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Job summary

eClerx is seeking a skilled candidate for a role focused on developing and implementing GenAI solutions to manage complex production environments. You will work on enhancing production runtime challenges via agentic AI systems, ensuring safety, reliability, and performance across applications.

Ideal candidates should have extensive software development experience and a strong background in machine learning, particularly with large language models. The position offers a salary range of $105K-$125K based on qualifications and geography.

Qualifications

  • 5+ years of software development in one or more languages.
  • 3+ years of experience in production ML systems.
  • Practical experience with Large Language Models.
  • Solid grasp of applied statistics and core ML concepts.
  • Strong analytical problem-solving and collaboration skills.

Responsibilities

  • Design and implement agentic AI systems.
  • Build evaluation framework for LLMs.
  • Connect AI agents to observability and incident management systems.
  • Work directly with users to define AI roadmaps.
  • Optimize AI systems for performance and cost.

Skills

Software development in Python, C/C++, Go, or Java
Designing ML systems
Working with Large Language Models (LLMs)
Applied statistics and ML concepts
Problem-solving and analytical skills

Tools

AWS
Terraform/CloudFormation
SageMaker

Job description

eClerx is seeking a skilled candidate for a role focused on developing and implementing GenAI solutions to manage complex production environments. You will work on enhancing production runtime challenges via agentic AI systems, ensuring safety, reliability, and performance across applications.

Ideal candidates should have extensive software development experience and a strong background in machine learning, particularly with large language models. The position offers a salary range of $105K-$125K based on qualifications and geography.

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