AI Engineer
Salary not listed
Apexon · Charlotte, NC · Full-time
Build · Found · posted 15 days ago
ApplyOpens this job on LinkedIn in a new tab, where Apexon posted it.
Experience asked for: at least 15 years
Read out of the requirements below, in the employer's own words — not from a dropdown. Where a posting lists several requirements we take the largest, because a requirements list is a list of things you need all of.
AI Engineer – Generative AI / RAG / AI Agents
📍 Location: Charlotte, NC
💼 Employment Type: Full-time
We are looking for an experienced AI Engineer to build and deploy enterprise-grade AI, Machine Learning, and Generative AI solutions.
This is a highly hands-on role with approximately 70% Individual Contributor and 30% Technical Leadership, ideal for someone who can take AI solutions from concept to production while also providing technical guidance to engineering teams.
Key Responsibilities
• Design and develop production-scale Generative AI, RAG, and AI Agent solutions
• Build LLM-powered applications using OpenAI, Claude, Gemini, Llama, and AWS Bedrock
• Develop scalable APIs and backend services using Python and FastAPI
• Build cloud-native AI applications and MLOps/CI/CD pipelines on AWS
• Work with LangChain, LangGraph, semantic search, and prompt engineering
• Deploy and manage applications using Docker, Kubernetes, and CI/CD
• Implement infrastructure using Terraform / CloudFormation
• Provide architectural guidance, conduct design reviews, and mentor engineers
Required Skills
• 15+ years of software engineering experience preferred
• 5+ years of hands-on AI/ML/Generative AI experience
• Strong Python development skills
• Production experience with RAG and AI Agents
• Experience with LangChain / LangGraph
• Experience with AWS / AWS Bedrock / SageMaker
• Strong experience with FastAPI, REST APIs, and microservices
• Experience with Docker, Kubernetes, Git, and CI/CD
• Strong system design and cloud architecture skills
• Claude CLI/Terminal experience is highly relevant
Nice to Have
• Databricks, PySpark, Snowflake, Kafka, Airflow, Delta Lake
• Terraform / CloudFormation
• Java, Scala, SQL
• Financial Services, Banking, Payments, Risk Analytics, or Regulatory Reporting experience
If you're passionate about building enterprise GenAI solutions and enjoy a hands-on engineering role with technical leadership opportunities, we'd love to hear from you.
📩 Interested? Please email your updated resume to:
📧 yashvi.shah@apexon.com
