AI Software Engineer — Full-Stack, Hybrid Role

Invid, Llc.; San Juan (TX); Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Hybrid work model

Health Insurance

401K Retirement plan

Paid time off

Education reimbursement

Job summary

INVID in Texas seeks an AI Software Data Engineer with hands-on experience in building, deploying AI-powered applications. You will design end-to-end systems, APIs, and integrations, and translate business needs into scalable software solutions.

You should have 5+ years in software engineering, strong frontend and backend skills, and a track record of production-grade AI deployments. This role offers a hybrid work model and opportunities to work with cutting-edge AI platforms.

Qualifications

• 5+ years in software engineering or full-stack development.
• Production-grade software with AI features experience.
• Strong API design and data modeling skills.

Responsibilities

• Design, develop, test, deploy, and maintain full-stack web apps with APIs, UIs, databases, and integrations.
• Build AI-powered solutions using LLMs, AI APIs, automation, semantic search, and intelligent workflows.
• Collaborate on architecture, design reviews, and engineering best practices.
• Deploy, monitor, troubleshoot, and optimize apps in production with cloud, CI/CD, and observability tools.
• Translate business requirements into technical solutions and own delivery across the lifecycle.

Skills

Full-stack dev

AI/LLMs

Bilingual EN/ES

Cloud & CI/CD

Secure production apps

Education

Bachelor's in CS or related

Equivalent experience

Tools

OpenAI

Azure OpenAI

Lang Chain

Docker

Kubernetes

Job description

INVID in Texas seeks an AI Software Data Engineer with hands-on experience in building, deploying AI-powered applications. You will design end-to-end systems, APIs, and integrations, and translate business needs into scalable software solutions.

You should have 5+ years in software engineering, strong frontend and backend skills, and a track record of production-grade AI deployments. This role offers a hybrid work model and opportunities to work with cutting-edge AI platforms.