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AI Engineer - MODS

Glint Tech Solutions

Remote · New York, NY · Posted October 15, 2026

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About the job

Job Title: AI Engineer - MODS

Location: Remote

Company Overview

Glint Tech Solutions is a women-owned, global IT staffing and recruiting firm supporting enterprise clients across the USA and Canada.

Project Description

A leading enterprise client in the telecommunications technology space is looking for an AI Engineer to power one of the industry's most ambitious AI transformation initiatives — building agentic AI systems that are changing how the company designs and optimizes its RF tower network, moving from manual engineering workflows to intelligent, autonomous execution. The client is embedding AI agents directly into its newly built RFDA platform to automate critical parts of the RF tower design (RFDS) process. This role will help build agentic workflows that analyze engineering requests, run RF simulations, and generate optimized design recommendations, supporting a human-in-the-loop model that evolves toward full autonomy. This is a high-visibility project with a clear roadmap, taking work from pilot to production within months.

Key Responsibilities

Implement bounded MOD scenario wrappers (5G NR add, LTE-NR / C-band, carrier add/remove, SNAP) inside the existing RFDS Agent (extends, does not fork)

Co-author unit + integration tests against per-region golden MOD scenarios

Support late-Sep MODS soft pilot (1-2 Champions) — instrument, observe, triage

Lead the Oct Champions reverse-shadow for MODS and Nov wider rollout

Reinforce NB during cutover week (Aug 31 - Sep 5) and Sep hypercare as a second pair of hands

Mandatory Skills

4-7 years of production Python experience; at least 1 year on LLM / agentic systems in production or near-production

Hands-on Google Vertex AI or transferable agent framework experience (Agent Builder, LangGraph, Bedrock Agents), demonstrated by shipped work

Comfortable extending an existing agent codebase rather than inventing one — disciplined enough to not spin up a new MCP server or KB partition when one already exists

Ability to read CLI / scripting API contracts cleanly and instrument them with structured logging + run-context

Nice-to-Have Skills

MCP server contributor (extending, not just consuming)

Test discipline — pytest, fixtures for synthetic external systems, golden-scenario regression patterns

RF / telecom adjacency