Software Engineer

Overview

On Site
USD 69.00 - 74.00 per hour
Full Time

Skills

Collaboration
Regulatory Compliance
Software Engineering
Military
Amazon Web Services
Microsoft Azure
Large Language Models (LLMs)
Data Lake
Apache Spark
Real-time
Training
Distributed Computing
Management
GPU
Generative Artificial Intelligence (AI)
Python
Django
PySpark
Artificial Intelligence
Machine Learning (ML)
TensorFlow
PyTorch
Cloud Computing
Google Cloud Platform
Google Cloud
Kubernetes
Streaming
Apache Kafka
Apache HTTP Server
Privacy
Marketing

Job Details

Location: Charlotte, NC
Salary: $69.00 USD Hourly - $74.00 USD Hourly
Description:
Job Title: Software Engineer - AI/ML & LLM (Contingent Resource)

Location: Charlotte, NC

Job Type: Contract (Contingent Resource)
About the Role

We are seeking a highly skilled and experienced Software Engineer (SE4) with a strong background in AI/ML, Large Language Models (LLMs), and cloud-native development. In this role, you will consult on complex, large-scale software engineering initiatives, contributing to the design, development, and deployment of cutting-edge AI solutions. You will collaborate with cross-functional teams to solve multifaceted challenges and deliver impactful results.
Key Responsibilities
  • Provide technical consultation on large-scale software engineering projects with broad organizational impact.
  • Analyze and resolve complex engineering challenges involving multiple variables and novel scenarios.
  • Design and implement scalable APIs and cloud-native architectures for AI/ML applications.
  • Collaborate with client stakeholders to align technical solutions with business objectives.
  • Ensure compliance with internal policies, procedures, and regulatory requirements.
Minimum Qualifications
  • 5+ years of experience in Software Engineering or equivalent (including consulting, military, or academic experience).
  • 3+ years of experience with cloud computing platforms (e.g., Google Cloud Platform, AWS, Azure).
  • 3+ years of experience working with GPU clusters for AI/ML workloads.
  • 2+ years of experience with Large Language Models (e.g., LLaMA, Mistral).
  • 2+ years of experience with Apache Iceberg or similar data lake technologies.
Preferred Qualifications
  • Proficiency in Python, Apache Spark (PySpark), FastAPI, Unicorn, Swagger, and Django.
  • Experience with Apache Kafka for real-time data streaming and distributed systems.
  • Hands-on experience with multi-GPU training and distributed computing frameworks such as:
    • TensorFlow Distributed
    • PyTorch Distributed
    • Horovod
  • Expertise in configuring and managing NVIDIA GPUs and Google Cloud Platform (Google Cloud Platform) resources (e.g., TPUs, GPU instances).
  • Familiarity with Generative AI frameworks and deployment of models in production environments.
Technologies You'll Work With
  • Languages & Frameworks: Python, FastAPI, Django, PySpark
  • AI/ML Tools: LLaMA, Mistral, TensorFlow, PyTorch, Horovod
  • Cloud & Infrastructure: Google Cloud Platform, Kubernetes, NVIDIA GPUs, TPUs
  • Data & Streaming: Apache Kafka, Apache Iceberg

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Contact:

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