Senior Full-Stack AI Architect - Remote

Truelogic; New York (NY); Remote; MXN 2,063,000 - 2,751,000; Full time

Benefits offered by this job

Remote work

USD pay

Paid time off

Autonomy

Work with US companies

Job summary

Truelogic is seeking a Lead Full-Stack AI Engineer to guide AI-powered applications, driving architectural decisions across backend, frontend, and AI integrations. You will build scalable Python services and modern UIs, and design data pipelines and LLM-based solutions.

The ideal candidate will mentor engineers, promote engineering excellence, and stay current with AI and web technologies to shape technical strategy and execution.

Qualifications

• 7+ years of software development experience with 2+ years in a technical leadership role.
• Backend Python with FastAPI/Flask/Django.
• Frontend experience in React/Vue/Angular (TypeScript preferred).
• Hands-on AI/LLM experience with RAG and LangChain/LlamaIndex.
• API design with REST, GraphQL and real-time interfaces.
• Engineering practices including Git, CI/CD, containerization, and automated testing.
• Relational and vector databases experience.
• Excellent communication across diverse audiences.

Responsibilities

• Lead the technical direction of projects with AI-powered full-stack apps.
• Design and build backend services (Python) and frontend interfaces (React/Vue/Angular).
• Architect and maintain data pipelines, agentic workflows, and LLM integrations.
• Mentor junior and senior developers and promote engineering best practices.
• Collaborate with Product, Design, and QA to translate requirements into roadmaps.
• Stay ahead of AI trends and advise feasibility and implementation.

Skills

Python

FastAPI

Frontend frameworks

AI/LLM

LangChain

REST/GraphQL

CI/CD

Data pipelines

Vector DBs

Communication

Tools

LangChain

LlamaIndex

Job description

Truelogic is seeking a Lead Full-Stack AI Engineer to guide AI-powered applications, driving architectural decisions across backend, frontend, and AI integrations. You will build scalable Python services and modern UIs, and design data pipelines and LLM-based solutions.

The ideal candidate will mentor engineers, promote engineering excellence, and stay current with AI and web technologies to shape technical strategy and execution.