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Senior AI Platform Engineer (TypeScript, LLMs & Data Systems)

🇦🇷 Argentina

Assembly

Node.js

TypeScript

PostgreSQL

Machine Learning

Design

Amazon

Large Language Models

Backend

Testing

Senior AI Platform Engineer (TypeScript, LLMs & Data Systems)

from 🇦🇷 Argentina

About Us

Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.

Role overview

Our client is building AI-native products that transform unstructured information into reliable, structured, and actionable data. Their platform combines large language models, multimodal AI, retrieval systems, and evaluation frameworks to power data-intensive workflows and user-facing experiences.

We are looking for a hands-on Senior AI Platform Engineer with strong expertise inTypeScript,backend systems,LLM integrations, anddata pipelines. This is a full-stack role with a clear backend focus, where you will design and build production-grade AI systems that leverage LLMs, vision models, retrieval workflows, and evaluation frameworks. The ideal candidate is comfortable owning projects end-to-end, from problem definition through deployment and operational excellence.

CONTRACT: Long-term contractor assignment

COMMITMENT: Full-time with minimum 4 hours overlap with New York working hours

LOCATION: Remote

PROCESS: Technical Interviews + Practical Evaluation

NOTES: Previous experience working in BigTech company (Amazon, Google, Meta, Apple, Microsoft, Netflix, …) is mandatory!

Responsibilities

  • Design and buildAI-powered backend services, APIs, and data pipelines
  • Develop systems forLLM-powered extraction, classification, and structured reasoning
  • Build workflows that ground AI outputs intrusted data and verifiable evidence
  • Implementretrieval, context assembly, and answer-grounding systems
  • Design and maintain evaluation datasets, scoring workflows, and regression testing frameworks
  • Develop internal tools for reviewing and validating AI-generated outputs
  • Build reliable production systems with strongobservability, monitoring, and failure handling
  • Collaborate on React-based interfaces for operational and reviewer workflows
  • Optimize AI workflows for performance, cost, reliability, and scalability
  • Work closely with product and engineering stakeholders to deliver production-ready solutions
  • 7+ years of professional software engineering experience
  • Strong experience buildingbackend services, APIs, and data pipelines
  • Advanced proficiency inTypeScript andNode.js
  • Production experience integratingLLMs, multimodal models, or AI APIs
  • Experience building systems that useretrieval, structured context, or grounded AI outputs
  • Experience creatingevaluation frameworks, scoring systems, and regression checks for AI applications
  • Working experience withReact
  • Experience withPostgreSQL and modern cloud deployment environments
by @maxrusakovic