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Generative Ai Developer information

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$45

$101

How much do generative ai developer jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for generative ai developer in Pennsylvania is $45.40, according to ZipRecruiter salary data. Most workers in this role earn between $23.61 and $54.95 per hour, depending on experience, location, and employer.

What are some common challenges faced by generative AI developers when deploying models in production environments?

Generative AI Developers often encounter challenges such as ensuring model reliability, managing computational resource requirements, and addressing ethical considerations like data bias or content safety. Deploying generative models at scale requires robust monitoring to detect unexpected outputs or model drift, and collaboration with data engineers and product teams to optimize performance. Staying up-to-date with evolving frameworks and best practices is essential, as production environments demand both technical rigor and adaptability to new AI advancements.

What are the key skills and qualifications needed to thrive as a generative AI developer?

To thrive as a Generative AI Developer, you need strong programming skills (especially in Python), a deep understanding of machine learning concepts, and an advanced degree in computer science or a related field. Familiarity with frameworks like TensorFlow, PyTorch, and experience with cloud platforms or model deployment tools are typically required. Creative problem-solving, adaptability, and effective collaboration are standout soft skills in this evolving field. These abilities are crucial to design, implement, and refine generative models that solve real-world problems and drive innovation.

What is the difference between Generative Ai Developer vs Machine Learning Engineer?

AspectGenerative Ai DeveloperMachine Learning Engineer
CredentialsBachelor's or higher in CS, AI, or related fields; experience with deep learning frameworksBachelor's or higher in CS, Data Science, or related fields; strong programming skills
Work EnvironmentDevelops AI models for content creation, chatbots, and creative applicationsBuilds and deploys ML models for various data-driven solutions across industries
Industry UsageTech, entertainment, marketing, and creative sectorsFinance, healthcare, tech, and e-commerce sectors

While both roles involve AI and machine learning, Generative Ai Developers focus on creating models that generate content, such as images or text, whereas Machine Learning Engineers develop broader ML solutions for diverse applications. The roles often overlap but differ mainly in their specific focus areas and use cases.

What is a generative AI developer?

A Generative AI Developer is a technology professional who specializes in designing, building, and deploying artificial intelligence systems that can create new content, such as text, images, audio, or code. They work with advanced machine learning models, like generative adversarial networks (GANs) or large language models, to enable computers to produce original outputs. These developers often collaborate with data scientists, researchers, and product teams to integrate AI-generated content into software applications and business solutions.
What are popular job titles related to Generative Ai Developer jobs in Pennsylvania? For Generative Ai Developer jobs in Pennsylvania, the most frequently searched job titles are:
What job categories do people searching Generative Ai Developer jobs in Pennsylvania look for? The top searched job categories for Generative Ai Developer jobs in Pennsylvania are:
What cities in Pennsylvania are hiring for Generative Ai Developer jobs? Cities in Pennsylvania with the most Generative Ai Developer job openings:
Generative Ai Developer jobs near you
Infographic showing various Generative Ai Developer job openings in Pennsylvania as of August 2026, with employment types broken down into 73% Full Time, 23% Part Time, and 4% Contract. Highlights an 67% Physical, 3% Hybrid, and 30% Remote job distribution, with an average salary of $94,426 per year, or $45.4 per hour.

Generative AI Engineer- Philadelphia, PA

QTech US Inc

Philadelphia, PA • On-site

Other

Posted 5 days ago

Job description

Job Title: Generative AI Engineer
Location: Philadelphia, PA - Hybrid
Looking for W2 candidates. No C2C

Job Summary:
Philadelphia Gas Works (PGW) is seeking an experienced Generative AI Engineer / On-Prem LLM & Vector Database Consultant to design, deploy, and optimize an enterprise-grade on-premises Large Language Model (LLM) and Vector Database solution in a secure environment. The ideal candidate will possess strong expertise in open-source LLM deployment, Retrieval-Augmented Generation (RAG), vector databases, semantic search, and enterprise AI infrastructure while ensuring data privacy, security, and high-performance inference in private or air-gapped environments.
Key Responsibilities:
Design and implement an on-premises LLM architecture for secure enterprise AI applications.
Deploy and optimize open-source LLMs including Meta Llama 3, Mistral, and Mixtral.
Build and implement Retrieval-Augmented Generation (RAG) pipelines.
Design, configure, and manage Vector Database solutions for semantic search.
Develop Python-based LLM inference, orchestration, prompt engineering, and integrations.
Optimize model performance using CPU inference, model quantization, and inference tuning.
Generate and manage embeddings, metadata filtering, and semantic search workflows.
Implement enterprise-grade authentication, authorization, access controls, and audit logging.
Ensure compliance with secure, private, and air-gapped deployment requirements.
Deliver deployment architecture, technical documentation, and knowledge transfer sessions.
Build a working prototype integrating LLM + Vector Database + RAG Pipeline.
Collaborate with engineering teams to deploy scalable AI infrastructure.
Required Skills:
Strong experience deploying Open-Source LLMs (Meta Llama 3, Mistral, Mixtral).
Proficient in Python, Prompt Engineering, LLM Inference, Model Orchestration, and AI Integration.
Experience with CPU-based inference, Model Quantization, and performance optimization.
Hands-on experience with Vector Databases (Qdrant, Chroma, Milvus, pgvector).
Proven expertise in building Retrieval-Augmented Generation (RAG) pipelines.
Experience with Embeddings, Metadata Filtering, and Semantic Search.
Strong knowledge of Enterprise Security, Data Privacy, and Air-Gapped Deployments.
Experience implementing Authentication, Authorization, Access Controls, and Audit Logging.
Preferred Qualifications:
Experience with LangChain and/or LlamaIndex.
Knowledge of Rust, Go, or C++.
Experience with Docker and Kubernetes for on-prem deployments.
Familiarity with inference frameworks:
o vLLM
o llama.cpp
o Hugging Face Transformers
Experience working in regulated or enterprise environments.
Experience designing enterprise AI reference architectures.
Best Regards:
Tejaswani R.
Phone: +1-
Email:

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