Courses and programmes from universities and institutions worldwide.
Senior/Principal Local LLM & Generative AI Platform Engineer
Get alerts for roles like this
More Senior/Principal Local LLM & Generative AI Platform Engineer roles in United States — straight to your inbox. No account needed.
Applying to this role? Tailor your résumé to this job description in one click, then download it free — just a small ResumeKart footer, no subscription.
Job Description
Parallel Wireless is a U. S. -based pioneer in Open RAN innovation, transforming how mobile networks are built, optimized, and powered. Through our GreenRAN™ portfolio, we help operators deliver secure, energy-efficient, automated, and flexible connectivity across 2G, 3G, 4G, 5G, and the path toward 6G.
Our software-centric, hardware-agnostic approach brings intelligence into the RAN while helping customers reduce complexity and total cost of ownership. Parallel Wireless is looking for a hands-on technical leader to build and operate a secure local large-language-model platform for the company.
The platform will allow engineering and business teams to use generative AI with proprietary source code, product documentation, technical standards, test artifacts, support knowledge, and other approved internal data while keeping sensitive information within company-controlled environments.
This is a senior individual-contributor role spanning applied LLM engineering, platform architecture, search and data pipelines, security, and production operations.
You will turn promising prototypes into a dependable internal capability: selecting and optimizing open-weight models, building permission-aware retrieval, creating reusable APIs and tools, integrating with existing engineering workflows, and establishing objective ways to measure quality, safety, latency, capacity, and business value.
The successful candidate will understand that a useful enterprise LLM is more than a model and a chat interface.
It requires trustworthy source grounding, strong access controls, repeatable evaluation, careful tool permissions, observable production services, and an operating model that keeps data, indexes, prompts, models, and dependencies current.
You will make pragmatic build-versus-buy decisions and choose the simplest approach—search, retrieval-augmented generation (RAG), prompting, workflow automation, or model adaptation—that meets each use case. Initial use cases may include engineering
Required Skills
Upskill for This Role
Courses from Udemy and edX matched to this role's skills.

Generative AI Bootcamp: LLM Engineering, RAG & AI Agents

LLM Engineering Fundamentals : Generative AI, Agents & RAG

Building a Vector Search Engine with ChromaDB

1 Day to Pass Google Ads Search Certification Practice Tests

Integrating Gender Equality and Inclusion for High Quality Research

UK Genealogy: Researching Wills and Probate
ResumeKart may earn a commission from these links at no extra cost to you.
Partner picks for Senior/Principal Local LLM & Generative AI Platform Engineer in United States
Matched to the skills this page calls for and the candidate's location.
- edXVerified partnerPartner course provider
- UdemyVerified partnerPartner course provider
A marketplace of instructor-created courses across technology, business and creative skills.
- Partner competition
Hackathon platform used by student and community hackathons across India.
BengaluruVisit partner →
Partners are ResumeKart affiliates or institutes it works with; ResumeKart may earn a commission when a candidate enrols. Placement is decided by relevance, not payment. How ResumeKart earns
Prepare to Win This Role
Everything you need to ace the interview and negotiate top-of-band compensation.