Software Engineer

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 level) 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 engineering challenges and drive innovation in generative AI technologies.
Key Responsibilities

• Lead and consult on complex software engineering projects with broad organizational impact.
• Analyze and resolve large-scale, multi-dimensional engineering challenges involving novel or unprecedented factors.
• Design and implement scalable APIs and cloud-native architectures for AI/ML applications.
• Collaborate with client stakeholders to align technical solutions with business goals and compliance requirements.
• Optimize and deploy AI models on GPU clusters, leveraging distributed computing for high-performance workloads.

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 (LLMs).
• 2+ years of experience with Apache Iceberg or similar data lake technologies.

Preferred Qualifications

• Proficiency in Python, FastAPI, Django, and cloud-native frameworks.
• Experience with real-time data streaming using Apache Kafka.
• Hands-on experience with distributed computing frameworks such as Apache Spark (PySpark), TensorFlow Distributed, PyTorch Distributed, and Horovod.
• Familiarity with Generative AI frameworks such as LLaMA, Mistral, etc.
• Experience configuring and managing NVIDIA GPUs and Google Cloud Platform infrastructure (TPUs, GPU instances).
• Strong understanding of API development, container orchestration (Kubernetes), and scalable system design.

Technologies You'll Work With

• Languages & Frameworks: Python, FastAPI, Django, PySpark
• AI/ML Tools: TensorFlow, PyTorch, Horovod, LLaMA, Mistral
• Infrastructure: Kubernetes, Google Cloud Platform, NVIDIA GPUs, TPUs
• Data & Streaming: Apache Kafka, Apache Iceberg

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Contact:

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