Senior AI Platform Engineer — End-to-End LLM (Remote)

Grey Chain; United States; Remote; USD 130,000 - 180,000; Full time

Job summary

Grey Chain AI is seeking a Senior AI Full-Stack Engineer to join remotely. You will own end-to-end platform and product features, from backend Python to a React/Next.js UI, designed for enterprise clients and multi-tenant environments.

Expect to work on LLM-powered workflows, MCP-style tooling, and data pipelines with a focus on security and performance. Ideal candidates have 5–8 years building production web apps, hands-on experience shipping LLM features, and strong experience with PostgreSQL,

Qualifications

• 5-8 years building production web apps with full-stack ownership.
• You have shipped LLM features to real users using modern APIs.
• Strong Python backend engineering with FastAPI or similar.
• Strong React/Next.js and TypeScript for robust UI.
• Deep PostgreSQL knowledge, indexing and migrations.
• Experience with enterprise integration and multi-tenant security.
• Clear written and spoken English; comfortable presenting to clients.

Responsibilities

• Own end-to-end features from database schemas to UI and tests.
• Ship LLM-powered features at platform scale, not just apps.
• Design agent workflows, tools, and evaluation plans.
• Ensure multi-tenant isolation, RBAC, and audit logging.
• Collaborate with enterprise clients and cross-functional teams.

Skills

LLM features shipped

Python backend

React/Next.js/TypeScript

PostgreSQL

Multi-tenant SaaS

RBAC / audit logging

English communication

Tools

MCP servers

Claude Agent SDK

LangGraph

pgvector

Temporal

Kubernetes

Job description

Grey Chain AI is seeking a Senior AI Full-Stack Engineer to join remotely. You will own end-to-end platform and product features, from backend Python to a React/Next.js UI, designed for enterprise clients and multi-tenant environments.

Expect to work on LLM-powered workflows, MCP-style tooling, and data pipelines with a focus on security and performance. Ideal candidates have 5–8 years building production web apps, hands-on experience shipping LLM features, and strong experience with PostgreSQL,