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Artificial Intelligence Engineer

This role is for an Artificial Intelligence Engineer in Charlotte, NC (Hybrid) for 12+ months at $75-80/hr W2. Key skills include Python, TensorFlow, PyTorch, and experience with vector databases and observability tools. Local candidates preferred.
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
🗓️ - Date discovered
February 8, 2025
🕒 - Project duration
More than 6 months
🏝️ - Location type
Hybrid
📄 - Contract type
W2 Contractor
🔒 - Security clearance
Unknown
📍 - Location detailed
Charlotte, NC
🧠 - Skills detailed
#Scala #Splunk #Monitoring #Python #TensorFlow #Databases #Prometheus #Langchain #PyTorch #NLP (Natural Language Processing) #Dynatrace #ML (Machine Learning) #DevOps #Anomaly Detection #AI (Artificial Intelligence) #Observability #Data Lake
Role description
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Hello,

Role: AI/ML Engineer

Location: Charlotte, NC (Hybrid)

Duration: 12+ Months

Work Authorization: US,GC, TN, H4 EAD

Rate: 75-80/hr W2

Client: Bank of America

Must haves:

  • must have experience educating and training the team

  • Must have experience with Vector databases - large language models

  • Proficiency in Python, TensorFlow, PyTorch, or similar ML frameworks

  • Proficiency in LangChain, LllamaIndex, or similar AI frameworks

  • Experience with observant tools like Splunk, Dynatrace, Prometheus, or similar observability tools

  • local preferred or willing to relocate

Responsibilities:
• Design and implement AI-driven tools to enhance real-time monitoring, reduce false positives, and provide actionable insights
• Integrate machine earning workflows with telemetry data source (e.g., Splunk, Dynatrace, Data Lakes,, etc.)
• Automate root cause analysis (RCA) workflows using AI to reduce Mean Time to Identify (MTTI) and Mean Time to Restore (MTTR)
• Collaborate with cross-functional teams to identify AI use cases in production and translate them into scalable solutions
• Build and fine-tune machine learning models / LLMs (e.g., anomaly detection, platform restoral, predictive maintenance) tailored to observability and incident management
• Leverage vector databases for hybrid search and retrieval-augmented generation (RAG) and agentic workflows

Requirements:
• Proficiency in Python, TensorFlow, PyTorch, or similar ML frameworks
• Proficiency in LangChain, LllamaIndex, or similar AI frameworks
• Experience with observant tools like Splunk, Dynatrace, Prometheus, or similar observability tools
• Proven ability to develop and deploy ML models in production environments.
• Hands-on experience with anomaly detection, predictive analytics, and NLP-based tools
• Familiarity with CI/CD pipelines and modern DevOps Practices
• Familiarity with Site Reliability Engineering and modern (SRE) Practices

Desired skills:
• Experience with SLURM, LangChain, LllamaIndex or similar capabilities
• Knowledge of NVIDA Triton or TensorRT for inference optimization
• Experience with Vector Databases and RAG Retrieval Augmented Generation (RAG)
• Experience with AI Agents / Agentic Workflows

If you're interested, please share your resume to innaiahk@pronixinc.com or call me on 7323750256