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Full Stack Generative Ai Engineer Jobs (NOW HIRING)

... and full-stack developers to deliver AI solutions. • Apply best practices for data management and model deployment. • Ensure scalability and performance of generative AI applications.

You'll evaluate and integrate generative AI capabilities (LLMs, agents, RAG, prompt engineering) to solve real business problems, while maintaining a strong foundation in full-stack engineering ...

Our platform leverages cutting-edge generative AI to assist engineers in RTL design, simulation ... Position Overview We are looking for multiple Full-Stack AI Engineers with a strong Computer ...

Hiring Alert | AI Engineer Location: Columbus, OH / Phoenix, AZ Employment Type: Full-Time ... Full Stack Development | Azure Cloud | Generative AI | Microsoft Copilot Studio | Microsoft 365 ...

In this role, you will develop innovative full stack applications while integrating Generative AI ... Working alongside a collaborative engineering team, you will develop new application features ...

... Stack: Generative AI | LLMs | Java | Python | Kotlin | REST APIs | AI Agentic Frameworks | MCP ... Prompt Engineering | LLM Evaluation | Responsible AI | Maven | Jenkins | Docker | Kubernetes | CI ...

Seeking an experienced AI Full Stack Developer to design, develop, and deploy enterprise AI applications, intelligent agents, and data-driven solutions leveraging Generative AI, Azure AI services ...

Showing results 21-40

Full Stack Generative Ai Engineer information

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$44.5K

$134.8K

$190.5K

How much do full stack generative ai engineer jobs pay per year?

As of Sep 13, 2026, the average yearly pay for full stack generative ai engineer in the United States is $134,771.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,000.00 and $158,000.00 per year, depending on experience, location, and employer.

What states have the most Full Stack Generative Ai Engineer jobs?

States with the most job openings for Full Stack Generative Ai Engineer jobs include:

What are popular job titles related to Full Stack Generative Ai Engineer jobs?

For Full Stack Generative Ai Engineer jobs, the most frequently searched job titles are:

Infographic showing various Full Stack Generative Ai Engineer job openings in the United States as of August 2026, with employment types broken down into 75% Full Time, 21% Part Time, and 4% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $134,771 per year, or $64.8 per hour.

Full Stack Developer - AI

Edison, NJ • On-site

$97K - $182K/yr

Other

Re-posted 20 days ago


Job description

Description

Remote position with the ability to travel to our NJ and NY locations up to 25% of the time.

Position Summary: Full Stack AI Developer to support enterprise AI initiatives across underwriting, claims, operations, and digital platforms. This role combines full-stack software engineering with applied AI/ML and Generative AI development, including Large Language Models (LLMs), Multiagent system design, and intelligent automation.

Essential Duties and Responsibilities:
  • Design and develop full-stack AI-enabled applications using Python, React/Next.js, and REST/GraphQL APIs.
  • Build and integrate Generative AI solutions including copilots, document intelligence, and conversational workflows.
  • Implement agentic AI patterns, RAG architecture, MCP servers and workflow orchestration.
  • Develop scalable backend services and microservices.
  • Implement parameter-efficient fine-tuning (PEFT) techniques like LoRA/MLoRA.
  • Implement MLOps/LLMOps pipelines with CI/CD using Azure DevOps.
  • Deploy and manage AI applications on Azure Cloud.
  • Ensure security, compliance, and responsible AI practices.
  • Mentor junior developers and conduct code reviews.
  • Participate in code reviews and provide mentorship to junior developers.
Qualifications
Education and Experience:
  • Bachelor's or Master's degree in Computer Science, Information Systems, or related field; or equivalent training/experience required.
  • 5+ years of experience in full-stack development (Python, React, .NET, SQL, PostgreSQL) required.
  • 3+ years of experience with Generative AI and Agentic AI architecture required.
  • Experience with AI/ML frameworks and cloud-based AI services required.
  • AI and Cloud certifications preferred.
  • Experience in the insurance industry is strongly preferred.
Skills:
  • Proficiency in Python, React, .NET (Framework/Core), SQL, PostgreSQL.
  • Multiagent system design (agent orchestration, planning, coordination, tool invocation)
  • Experience with Azure DevOps, Azure Foundry, and Azure Cloud services
  • Implementation experience of RESTful & event-driven architectures, and container technologies (Docker/Kubernetes).
  • Experience with RAG architectures, techniques like LoRA/mLoRA and MCP Servers
  • Familiarity with DevOps practices.
  • Knowledge of data integration, ETL processes, and data governance frameworks.
  • Experience with Agile/Scrum methodologies.
  • Excellent problem-solving, troubleshooting, and documentation skills.
  • Strong oral and written communication skills with a customer service focus.

The salary range for this role is $97,300-$182,500. The listed annual salary range posted for this position is subject to change and may vary depending on performance, education, experience, skills, geographic location, travel requirements, demonstrated proficiency in the competencies required for the role and business needs. Base pay is just one component of GNY's total compensation package for employees. Other rewards include eligibility for an annual discretionary bonus based on performance.