What are the responsibilities and job description for the Artificial Intelligence Engineer position at Pronix Inc?
Pronix is currently seeking an AI Engineer with our client in the financial industry located in Charlotte, NC. This is a 12 month contract position.
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
- Deploy models in production environments using frameworks like NVIDIA Triton, TensorFlow Servicing, or Kubernetes
- Build efficient pipelines for ingesting and preprocessing data (e.g., logs, metrics, traces) from observability platforms
- Leverage vector databases for hybrid search and retrieval-augmented generation (RAG) and agentic workflows
Requirements:
- Full stack Developer
- 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
- Familiarity with vector databases and integration into AI workflows
- 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
- Strong problem-solving skills and the ability to work in cross-functional teams, communicating technical concepts to non-technical stakeholders
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
