Generative AI Systems Engineer

Infinite Electronics International; Lewisville, Northern (TX, KY); Hybrid; USD 150,000 - 210,000; Full time

Job summary

Infinite Electronics International is seeking a Generative AI Engineer to own the hands-on delivery of GenAI systems—from architecture and implementation through deployment, operations, and continuous improvement. You will set engineering standards, govern best practices, and lead by example in a fast-paced enterprise AI environment.

The role requires deep production GenAI experience, strong ownership, and the ability to drive architecture decisions, code reviews, and continuous improvements

Qualifications

• Shipping production-grade LLM/genAI systems with design and routing choices.
• Experience with CI/CD pipelines for AI services and governance.
• Cloud-native APIs and Azure cloud experience, plus enterprise data integration.

Responsibilities

• Design and build production-grade GenAI systems: agentic workflows, RAG pipelines, and LLM-powered apps integrated with enterprise data and services.
• Define and implement reusable engineering patterns for prompt management, workflow versioning, and structured outputs across production AI services.
• Evaluate models, tools, and architectures, iterating improvements into existing systems.
• Own operational outcomes: reliability, latency, throughput, and scalability targets.
• Lead governance, security, and responsible AI practices including guardrails and schema validation.

Skills

GenAI architecture

LLM integration

Pipeline orchestration

CI/CD for AI

Education

Bachelor's degree in CS/engineering

Master's degree (preferred)

Tools

Azure OpenAI

FastAPI

Docker

Python

Pydantic

Azure services

Job description

Infinite Electronics International is seeking a Generative AI Engineer to own the hands-on delivery of GenAI systems—from architecture and implementation through deployment, operations, and continuous improvement. You will set engineering standards, govern best practices, and lead by example in a fast-paced enterprise AI environment.

The role requires deep production GenAI experience, strong ownership, and the ability to drive architecture decisions, code reviews, and continuous improvements