AI Engineer

Staffingine LLC; North Carolina; On-site; USD 91,000 - 129,000; Full time

Job summary

Staffingine LLC in Charlotte, NC seeks an AI Engineer to design, build and deploy enterprise AI and GenAI platforms. This role emphasizes hands-on development with Claude Code and AWS Bedrock, plus RAG, AI agents, and MLOps pipelines.

The role is 70% hands-on IC and 30% technical leadership, mentoring teams and coordinating with product and engineering stakeholders to deliver scalable AI solutions.

Qualifications

• Seasoned AI engineer with extensive software/enterprise AI experience.
• Experience building production-scale AI platforms, including RAG and AI agents.
• Hands-on with cloud-native AI solutions on AWS and ML pipelines.

Responsibilities

• Design, build, deploy, and optimize enterprise AI solutions.
• Lead and mentor engineers; coordinate with product and business stakeholders.
• Develop GenAI apps using OpenAI, Claude, Gemini, Llama, and AWS Bedrock.

Skills

Python

OpenAI

Claude Code

Gemini

Llama

LangChain

RAG

AI Agents

MLOps

AWS SageMaker

Bedrock

Kubernetes

Docker

FastAPI

SQL

Java

Tools

SageMaker

Bedrock

Lambda

ECS

EKS

S3

DynamoDB

Redshift

Databricks

PySpark

Snowflake

Delta Lake

Kafka

Airflow

Terraform

CloudFormation

Job description

Position: AI Engineer
Location: Charlotte, NC (Final Interview Onsite)
Interview Mode: Onsite Interview
Rate: $80/per hour C2C

Update: We are looking for a seasoned AI experience person with Claude Code experience. Not just Claude model usage alone.

Kindly source similar profiles with Claude Code experience. Thanks for your understanding and co-operation.

Key Responsibilities

• Experienced AI/ML and Data Engineering leader with 15+ years of software engineering experience and 5+ years building enterprise AI, Machine Learning, Generative AI, and cloud-native solutions. Strong hands-on expertise in designing and deploying production-scale AI platforms, RAG systems, AI Agents, MLOps frameworks, and cloud-native applications on AWS.
• Role Overview
• This role is primarily a 70% hands-on Individual Contributor and 30% technical leadership position. The engineer is expected to design, build, deploy, and optimize enterprise AI solutions while mentoring teams and coordinating with business, product, and engineering stakeholders.
• Key Responsibilities
• Build GenAI applications using OpenAI, Claude, Gemini, Llama, and AWS Bedrock. Develop RAG solutions, AI Agents, semantic search, prompt engineering frameworks, and MLOps pipelines. Create scalable APIs using Python and FastAPI. Design cloud-native architecture using AWS services and implement CI/CD automation.

Core Technical Skills

• Python, Java, SQL, Scala; OpenAI, Claude, Gemini, Llama, LangChain, LangGraph, RAG, AI Agents; SageMaker, Bedrock, Lambda, ECS, EKS, S3, DynamoDB, Redshift; Databricks, PySpark, Snowflake, Delta Lake, Kafka, Airflow; Docker, Kubernetes, Git, GitHub Actions, Jenkins, Terraform, CloudFormation.
• Infrastructure & DevOps
• Lead Infrastructure as Code implementations using Terraform and CloudFormation. Build automated deployment pipelines using Git-based workflows, CI/CD, containerization, Kubernetes orchestration, monitoring, logging, and governance controls.
• Leadership & Collaboration
• Provide architectural guidance, mentor engineers, conduct design reviews, support delivery planning, and collaborate with product managers, business stakeholders, compliance teams, and data scientists to deliver enterprise AI initiatives.
• Preferred Industry Experience
• Financial Services, Banking, Payments, Risk Analytics, Regulatory Reporting, Data Governance, and Enterprise Digital Transformation.
• Success Profile
• A highly technical practitioner capable of independently delivering AI solutions from concept to production while influencing architecture, standards, and engineering excellence across teams.