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About the Role
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.
Responsibilities
- Implement bounded MOD scenario wrappers (5G NR add, LTE-NR / C-band, carrier add/remove, SNAP) inside the existing RFDS Agent
- 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
Requirements
- 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
Skills
- Python
- LLM
- Agentic systems
- Google Vertex AI
- Agent Builder
- LangGraph
- Bedrock Agents
- CLI
- Scripting API
- Structured logging
- MCP server
- pytest
- fixtures for synthetic external systems
- Golden-scenario regression patterns
- RF
- Telecom
Location
- Remote
Work Type
- Remote
Experience Level
- 4-7 years of production Python experience
- At least 1 year on LLM / agentic systems in production or near-production
About the Company
- Glint Tech Solutions is a women-owned, global IT staffing and recruiting firm supporting enterprise clients across the USA and Canada.
- 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.