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

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 in TypeScript, backend systems, LLM integrations, and data 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 build AI-powered backend services, APIs, and data pipelines

• Develop systems for LLM-powered extraction, classification, and structured reasoning

• Build workflows that ground AI outputs in trusted data and verifiable evidence

• Implement retrieval, 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 strong observability, 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

Requirements

• 7+ years of professional software engineering experience

• Strong experience building backend services, APIs, and data pipelines

• Advanced proficiency in TypeScript and Node.js

• Production experience integrating LLMs, multimodal models, or AI APIs

• Experience building systems that use retrieval, structured context, or grounded AI outputs

• Experience creating evaluation frameworks, scoring systems, and regression checks for AI applications

• Working experience with React

• Experience with PostgreSQL and modern cloud deployment environments