AI ML Engineer W2 position F2F interview in Charlotte, NC with Well Fargo

Alpharetta, GA, US • Posted 30+ days ago • Updated 4 days ago

Contract W2

Contract Independent

No Travel Required

On-site

Depends on Experience

Fitment

Dice Job Match Score™

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Job Details

Skills

Artificial Intelligence
Autogen
Data Science
Data Engineering
Continuous Integration
LangChain
Machine Learning (ML)
Machine Learning Operations (ML Ops)
Management
Mentorship
Meta-data Management
Python
AIML
AI/ML
LlamaIndex
Leadership
API
Backend Development
Cloud Computing
Collaboration
Computer Science
Continuous Delivery
Database
Docker
Elasticsearch
Evaluation
Flask
Microsoft Azure
MySQL
Neo4j
Orchestration
PostgreSQL
Prompt Engineering
Redis
Routing
SDK
SQL
Search Engineering
Semantics
Storage
Systems Design
Vector Databases
Workflow

Summary

Hi All,

We are immediately hiring for a AI/ML Engineer role for one of our Charlotte, NC based client.

Please go through the JD shared below and share your updated resume along with your contact details ASAP.

AI/ML Engineer

Location: Charlotte, NC – HYBRID Role

Long Term contract

End Client: Wells Fargo

Interview Mode: Face-to-Face (F2F) Interview - Mandatory

NOTE: The final round will be conducted onsite at the client location. Candidates shortlisted after virtual rounds must be available for an in-person interview.

Job Summary:

We are looking for a highly skilled AI/ML Engineer with 4–5 years of experience in designing and deploying scalable AI solutions. The ideal candidate will have strong hands-on expertise in LangChain, LangGraph, Agentic AI architectures, and Python, along with experience building production-grade LLM applications.

Key Responsibilities:

Design, develop, and deploy AI/ML applications using Python.
Build and maintain LLM-powered solutions using LangChain.
Develop stateful, multi-agent workflows using LangGraph.
Architect and implement Agentic AI systems including planning, reasoning, tool-calling, and memory management.
Develop and optimize RAG (Retrieval-Augmented Generation)
Integrate LLM APIs (OpenAI, Anthropic, open-source models) into enterprise systems.
Implement prompt engineering and model optimization strategies.
Develop REST APIs using FastAPI/Flask for AI model deployment.
Deploy solutions using Docker, Kubernetes, and cloud platforms (AWS/Azure/Google Cloud Platform).
Ensure scalability, monitoring, and performance optimization in production environments.

Thanks & Regards

Prabhash

SYSTEM EDGE USA LLC

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10106959
Position Id: 8875864
Posted 30+ days ago

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AI ML Engineer W2 position F2F interview in Charlotte, NC with Well Fargo

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