AI & LLM Platform Engineer | Production Systems

ARCHER; Plano (TX); On-site; USD 140,000 - 180,000; Full time

Benefits offered by this job

Health Care Coverage

On-Site Health And Wellness Centers

Retirement Savings Plan

Backup Childcare

Tuition Reimbursement

Mental Health Support

Financial Coaching

Commission-Based Pay

Discretionary Incentive Compensation

Cash And/Or Forfeitable Equity

Job summary

ARCHER is seeking a software engineer to build and operate production-ready platforms for AI agents and LLM-powered applications. You will partner with product, engineering, data, security, and risk teams to deliver secure, scalable solutions and promote responsible AI-assisted engineering practices.

Ideal candidates have formal software engineering training with 3+ years of applied experience, strong Python skills, and hands-on experience delivering production ML/LLM features, prompt

Qualifications

• Formal software engineering training or certification with at least three years of applied experience.
• Strong Python and software engineering fundamentals with production ML/LLM experience.
• Experience with prompt engineering, RAG, evaluation/monitoring, and cross-team communication.

Responsibilities

• Build and operate production-ready platforms and reusable services for AI agents and LLM applications.
• Collaborate with product, engineering, data, security, and risk teams to deliver secure, scalable solutions.
• Promote responsible AI practices and ongoing improvement of systems.

Skills

Python

Software Engineering

Artificial Intelligence

Large Language Models

Machine Learning

Prompt Engineering

Retrieval-Augmented Generation

Agent Orchestration

LLM Evaluation

Production Services

Observability

Secure Coding

CI/CD

Docker

Kubernetes

Cloud Platforms

Education

Formal software engineering training or certification

Tools

Docker

Kubernetes

Vector Databases

CI/CD pipelines

Job description

ARCHER is seeking a software engineer to build and operate production-ready platforms for AI agents and LLM-powered applications. You will partner with product, engineering, data, security, and risk teams to deliver secure, scalable solutions and promote responsible AI-assisted engineering practices.

Ideal candidates have formal software engineering training with 3+ years of applied experience, strong Python skills, and hands-on experience delivering production ML/LLM features, prompt