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Senior AI Full Stack Developer

QUANTUM TECHNOLOGIES LLCUnited States🇺🇸United StatesPosted 13 Jul 2026

Why This Role Stands Out

This remote Senior AI Full Stack Developer role offers a fantastic opportunity to work with cutting-edge AI/ML and generative AI technologies, contributing to enterprise-level solutions with a competitive hourly rate. You'll thrive here if you have extensive experience in AI engineering, cloud infrastructure, and full-stack development, and enjoy customer-facing deployment challenges. Apply now to leverage your expertise and grow your career with this exciting contract opportunity!

Quick Overview

Salary
€89/hr
Work Type
Remote
Level
Mid Senior

Job Description

Job Title: Senior AI Full Stack Developer

Location: Remote

Duration: 12 Months + Extension

Bill Rate: $89/hr on C2C

Job Type: C2C/1099 Contract

Client: To Be Discussed Later

Work Authorization: US-Citizen, H-1B, OPT-EAD, GC-EAD

Summary:
We are hiring a highly skilled Senior forward deployment engineer with strong experience in AI/ML, generative AI, cloud infrastructure, and full-stack development to deploy and scale enterprise AI solutions.
Experience:
  • 13+ years in AI Engineering, DevOps, Cloud Engineering, or Software Development
  • Prior experience in customer-facing or deployment-focused roles preferred
Keywords: Forward Deployment Engineer, AI Engineer, GenAI, LLM, LangChain, OpenAI, Kubernetes, AWS, Terraform, Python, RAG, AI Agents, MLOps, Full-Stack Builder.
Required Skills:
  • Strong experience with LLMs, GenAI, RAG, AI Agents, Prompt Engineering
  • Hands-on experience with OpenAI, Claude, LangChain, LlamaIndex, Hugging Face
  • Strong coding skills in Python (mandatory), JavaScript/TypeScript preferred
  • Experience with AWS/Azure/Google Cloud Platform, Kubernetes, Docker, Terraform, CI/CD
  • Experience building and deploying APIs, microservices, and AI-powered applications
  • Knowledge of Vector Databases (Pinecone, FAISS, ChromaDB, Weaviate)
  • Strong understanding of DevOps, MLOps, observability, and scalable architectures
  • Experience with Dynatrace, Splunk, Grafana, ELK is a plus
  • Excellent troubleshooting, communication, and customer-facing skills

Equal opportunity employer: We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.

Skills

Docker
Microservices
AWS
ELK
MLOps
Splunk
Azure
Google Cloud
Grafana
Hugging Face
JavaScript
Kubernetes
LLM
Python
Terraform
TypeScript

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