Remote Senior Full-Stack AI Engineer – Enterprise Automation

truelogic; Mexico; On-site; PHP 7,552,000 - 11,957,000; Full time

Benefits offered by this job

Remote work

USD pay

PTO

Autonomy

US clients

Job summary

Truelogic is seeking a Senior Full-Stack AI Engineer to architect and ship end-to-end features for an advanced context-aware AI agent platform. This role bridges complex LLM architectures with polished multi-channel user experiences, including persistent memory and asynchronous workflows.

The ideal candidate is hands-on with modern TypeScript, React, and PostgreSQL, and has strong backend systems thinking and fluency in LLM runtimes, retrieval mechanisms, and tool integration.

Qualifications

• Proven experience with modern TypeScript, React, REST/GraphQL APIs, and relational DB design (PostgreSQL).
• Backend & async systems: background jobs, distributed queues, production debugging.
• Hands-on with LLM/agent runtimes, tool calling, prompt engineering, and retrieval systems (RAG).
• Ability to translate ambiguous product needs into clean systems design and intuitive UIs.
• Expertise in building robust, observable, secure, scalable architectures.

Responsibilities

• Architect and ship end-to-end product features for a context-aware AI agent ecosystem.
• Design robust REST/GraphQL APIs, performant PostgreSQL data models, and resilient background processing systems.
• Build responsive React frontends tightly integrated with TypeScript backend services.
• Implement, evaluate, and optimize LLM agent workflows, including prompt engineering and tool integration.
• Maintain production reliability, data privacy, and observability across complex user flows.

Skills

TypeScript

React

REST/GraphQL APIs

PostgreSQL

LLM tool integration

Product ownership

System observability

Job description

Truelogic is seeking a Senior Full-Stack AI Engineer to architect and ship end-to-end features for an advanced context-aware AI agent platform. This role bridges complex LLM architectures with polished multi-channel user experiences, including persistent memory and asynchronous workflows.

The ideal candidate is hands-on with modern TypeScript, React, and PostgreSQL, and has strong backend systems thinking and fluency in LLM runtimes, retrieval mechanisms, and tool integration.