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Flex Schedule Generative Ai Engineer Jobs (NOW HIRING)

QTech US Inc

Generative AI Engineer

Charlotte, NC · On-site

Generative AI Engineer Location: Charlotte, NC, Columbia, SC, Atlanta, GA, Richmond, VA, Jacksonville, FL Duration: 12+ Months No C2C W2 Only Job Summary: We are seeking an experienced Senior ...

New

MDAEdge

Generative AI Engineer

Austin, TX · On-site

MDAEdge is a company focusing on innovative AI solutions, and they are seeking a Generative AI Engineer. The role involves developing efficient pipelines for document processing and creating scalable ...

Wise Skulls Corp.

$93K - $128K/yr

Background We are looking for a Senior Generative AI Engineer to design, build, and ship production-grade Generative AI and Agentic AI applications that delivery business value across the ...

New

Sogeti

Generative AI Engineer

New Brunswick, NJ · On-site

Design and implement Generative AI solutions leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), prompt engineering, vector databases, and AI agents. * Collaborate with ...

New

Figure

Helix AI Engineer, Generative AI

San Jose, CA · On-site

We are looking for a Helix AI Engineer, Generative AI to build and scale generative models that enable robots to understand, simulate, and interact with the physical world. This role focuses on ...

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How much do flex schedule generative ai engineer jobs pay per year?

As of Jul 13, 2026, the average yearly pay for flex schedule generative ai engineer in the United States is $115,864.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,000.00 and $151,500.00 per year, depending on experience, location, and employer.

What is the difference between Flex Schedule Generative Ai Engineer vs Data Scientist?

AspectFlex Schedule Generative Ai EngineerData Scientist
Required CredentialsBachelor's in CS, AI, or related field; experience with AI frameworksBachelor's or higher in CS, Statistics, or related field; proficiency in data analysis
Work EnvironmentTech companies, startups, remote or flexible schedulesResearch labs, tech firms, often in office or hybrid setups
Industry UsageAI development, machine learning projects, software engineeringData analysis, predictive modeling, business insights
Search & Comparison IntentUnderstanding role differences, job requirements, work flexibilityClarifying career paths, skills overlap, industry roles

The Flex Schedule Generative Ai Engineer focuses on developing AI models with flexible work hours, often in tech environments. In contrast, Data Scientists analyze data to derive insights, typically working in research or business settings. Both roles require technical skills but differ in daily tasks and industry focus.

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Flex Schedule Generative Ai Engineer jobs near you

Generative AI Engineer

QTech US Inc

Charlotte, NC • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

Job Title: Generative AI Engineer
Location: Charlotte, NC, Columbia, SC, Atlanta, GA, Richmond, VA, Jacksonville, FL
Duration: 12+ Months
No C2C W2 Only
Job Summary:
We are seeking an experienced Senior Generative AI Engineer to design, develop, and deploy enterprise-grade AI solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and modern cloud technologies. The ideal candidate will have expertise in building scalable AI applications, integrating foundation models, and developing intelligent automation solutions using Python and cloud platforms.
Key Responsibilities:
Design, develop, and deploy Generative AI applications using Large Language Models (LLMs).
Build and implement Retrieval-Augmented Generation (RAG) pipelines for enterprise AI solutions.
Develop AI-powered applications using Python and modern AI frameworks.
Integrate OpenAI, Azure OpenAI, AWS Bedrock, Claude, Gemini, or other foundation models.
Design prompt engineering strategies to improve model accuracy and performance.
Collaborate with Data Engineers, Data Scientists, Product Owners, and Solution Architects.
Deploy AI applications using Azure or AWS cloud services.
Ensure AI solutions meet security, scalability, and performance standards.
Participate in code reviews, testing, deployment, and production support.
Required Skills:
Strong experience with Python.
Hands-on experience with Generative AI (GenAI).
Experience working with Large Language Models (LLMs).
Strong knowledge of Retrieval-Augmented Generation (RAG).
Experience with Prompt Engineering.
Hands-on experience with OpenAI, Azure OpenAI, AWS Bedrock, Claude, or Gemini.
Experience building AI Agents or Agentic AI solutions.
Knowledge of LangChain or LlamaIndex.
Experience with Vector Databases (Pinecone, FAISS, ChromaDB, Weaviate, or Milvus).
Experience developing REST APIs using FastAPI or Flask.
Experience deploying applications on AWS or Azure Cloud.
Strong understanding of Microservices Architecture.
Best Regards,
Teresa Rose

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