AI / Generative AI Engineer

Xpath Solutions LLC
Charlotte, United States of America
8 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Charlotte, United States of America

Tech stack

Artificial Intelligence
Amazon Web Services (AWS)
ARM
Azure
Cloud Computing
Continuous Integration
Information Engineering
Python
Machine Learning
Azure
Enterprise Data Management
Data Processing
Google Cloud Platform
Feature Engineering
Retrieval-Augmented Generation
Large Language Models
Snowflake
Prompt Engineering
IT Architecture
Generative AI
FastAPI
Containerization
Machine Learning Operations
Virtual Agents
REST

Job description

We are seeking a Senior AI / Generative AI Engineer with deep expertise in Cortex AI, Python, and Snowflake, and hands-on experience building enterprise-grade ML, Generative AI, and Agentic AI systems.

This role focuses on designing, building, and deploying scalable AI solutions, including LLM-powered applications, RAG pipelines, and agent-based workflows, integrated with modern cloud ML platforms., * Design, develop, and deploy AI/ML and Generative AI solutions using Python, Cortex AI, and Snowflake

  • Build and operationalize LLM-based applications, including RAG pipelines and Agentic AI workflows
  • Develop scalable ML and GenAI services exposed via FastAPI / REST APIs
  • Integrate Snowflake Cortex AI capabilities for analytics-driven AI use cases
  • Implement model development, evaluation, deployment, and monitoring best practices
  • Work with cloud ML platforms (AWS SageMaker, Azure AI, or Google Cloud Platform Vertex AI) for training and inference
  • Collaborate with data engineering, platform, and product teams to productionize AI solutions
  • Ensure performance, scalability, security, and governance of AI systems
  • Mentor junior engineers and contribute to AI architecture and best practices

Requirements

Mandatory skills = Cortex AI, Python & Snowflake, * Cortex AI

  • Python (advanced)
  • Snowflake
  • Machine Learning & Deep Learning fundamentals
  • Generative AI & LLMs
  • Agentic AI concepts and implementations
  • FastAPI & REST API development
  • Model Context Protocol (MCP) or similar AI integration patterns
  • Data processing and feature engineering

Generative AI & Frameworks

  • LangChain
  • LangGraph
  • RAG (Retrieval-Augmented Generation) architectures
  • Prompt engineering and LLM orchestration
  • Experience with vector databases and embeddings (preferred)

Cloud & MLOps (Required - at least one)

  • AWS SageMaker
  • Azure AI / Azure OpenAI
  • Google Cloud Platform Vertex AI

Additional experience with CI/CD, containerization, or ML pipelines is a plus., * Minimum 7+ years of experience in AI / Machine Learning

  • At least 2+ years of hands-on Generative AI experience
  • Minimum 5+ years of strong, core experience in:
  • Cortex AI
  • Python
  • Snowflake

Nice to Have

  • Experience building scalable, production AI systems
  • Exposure to enterprise data platforms and governance
  • Knowledge of LLMOps / MLOps practices
  • Strong communication and stakeholder-collaboration skills

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