AI Engineer
3B Staffing LLC
AI Engineer with our client in the financial industry located in Charlotte, NC. This is a 12 + month contract position.
Responsibilities:
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
- 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
- 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
Vacancy posted 4 days ago
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