Senior AI Software Engineer (LLM/RAG) for Production Systems

ARCHER; Dallas (TX); Sur place; USD 120 000 - 180 000; Plein temps

Avantages offerts par ce poste

Health Insurance

Employee Wellness Program

Life Insurance

Disability Insurance

Retirement Savings Plan

Paid Holidays

Paid Time Off

Résumé du poste

ARCHER is seeking an experienced software engineer to design and build production-ready components for a new AI-enabled technology capability in Dallas, TX. You will contribute hands-on code, architecture, system design, and engineering decisions to shape the product.

You will explore and implement AI technologies such as Large Language Models and Retrieval-Augmented Generation, integrate new capabilities with Infor platforms, and help establish the engineering practices of a newly formed team.

Qualifications

• Hands-on experience delivering production software.
• Experience with AI concepts such as LLMs and RAG.
• Proficiency in Python and JavaScript/TypeScript; Java and cloud architecture preferred.

Responsabilités

• Design and build production-ready components for an AI-enabled capability.
• Contribute hands-on code, architecture, system design and engineering decisions.
• Explore and implement AI technologies such as LLMs and RAG and integrate capabilities with existing platforms.

Connaissances

Software Development

Production Software

Software Architecture

System Design

Maintainability

Artificial Intelligence

Large Language Models

Retrieval-Augmented Generation

Python

JavaScript

TypeScript

Java

Systems Integration

Product Engineering

Cloud-Based Software Architecture

Description du poste

ARCHER is seeking an experienced software engineer to design and build production-ready components for a new AI-enabled technology capability in Dallas, TX. You will contribute hands-on code, architecture, system design, and engineering decisions to shape the product.

You will explore and implement AI technologies such as Large Language Models and Retrieval-Augmented Generation, integrate new capabilities with Infor platforms, and help establish the engineering practices of a newly formed team.