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Gen Ai Engineer Jobs (NOW HIRING)

Gen-AI Engineers

Jersey City, NJ ยท On-site

$65 - $70/hr

Gen-AI Engineer Location: NJ/NY Area Experience Required: 6-8 years Positions: 4 End Customer Industry: Financial Services Bill Rate: $65-$70/hr. Strong candidates at a higher rate may also be ...

Hiring Alert | Gen AI Engineer Location: Austin, TX (Onsite) Employment Type: Full-Time Experience Required: 8-10 Years Visa Type: All Valid USA Visas (Including OPT) | Prior Apple Experience ...

InterSources Inc is seeking a Gen AI Engineer to join their team. The role involves developing AI workflows, prompt engineering, and maintaining AI models across various environments.

InterSources Inc is seeking a Gen AI Engineer to join their team. The role involves developing AI workflows, prompt engineering, and maintaining AI models across various environments.

InterSources Inc is seeking a Gen AI Engineer to join their team. The role involves developing AI workflows, prompt engineering, and maintaining AI models across various environments.

Gen AI Engineer Location: Sunrise, FL or Phoenix, AZ Hybrid role - In a week three days onsite. Experience - 6 to 8 Years We are seeking a Machine Learning Engineer to design, build, and deploy ...

RIT Solutions, Inc. is a company focused on innovative AI solutions, seeking a Gen AI Engineer to enhance their capabilities. The role involves building and developing models to improve understanding ...

Gen AI Engineer III

Atlanta, GA ยท On-site +1

$55.25 - $74.25/hr

Gen AI Engineer III Gen AI Engineer III Location: Atlanta, GA This role requires associates to be in-office 1 - 2 days per week, fostering collaboration and connectivity, while providing flexibility ...

Gen AI Engineer with Python We are looking for a Gen AI Engineer with strong expertise in Python, Generative AI, Retrieval-Augmented Generation (RAG), and Agentic AI to lead the design and ...

$81 - $127/hr

Our partner is looking for a Java Gen AI Engineer based in Germany. This role offers an opportunity to combine strong Java engineering expertise with hands-on Generative AI development. You will ...

New

Job Title - Gen AI Engineer Location - Phoenix, AZ Duration: 12+ Months Interview Mode - In-Person Interview Tech Stack - AI / Agentic AI, LLM, RAG, FastAPI, GCP, Flask, Python, SQL, Docker ...

GEN AI Engineer Location: Charlotte, NC (onsite) Job Type: Full time Must Have Technical/Functional Skills o Bachelors or Masters degree in Data Science, Computer Science, MIS ,related field, or ...

Gen AI Engineer Atlanta GA Full time Job Summary We are seeking a highly skilled and motivated Engineer to join our dynamic team. The ideal candidate will have a strong background in engineering ...

Agentic AI: Exposure to building Gen AI/Agentic AI applications, managing efficiency, latency, and backend infrastructure. * Technical Standards: Strong Python programming skills with a deep ...

Gen AI Engineer

Irving, TX ยท On-site

$106K - $127K/yr

ClifyX is a company seeking a Gen AI Engineer to develop and implement innovative generative AI models. The role involves hands-on coding, data manipulation, and applying advanced AI techniques to ...

Showing results 21-40

Gen Ai Engineer information

See salary details

$59.5K

$111.6K

$203K

How much do gen ai engineer jobs pay per year?

As of Aug 20, 2026, the average yearly pay for gen ai engineer in the United States is $111,632.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,500.00 and $132,500.00 per year, depending on experience, location, and employer.

What is a Gen AI engineer?

Gen AI Engineers are professionals who design, develop, and deploy generative artificial intelligence systems, such as large language models and image generators. They combine expertise in machine learning, deep learning, and software engineering to build applications that can create new content, automate tasks, and solve complex problems. Gen AI Engineers often work with frameworks like TensorFlow or PyTorch and collaborate with data scientists and product teams to bring generative AI solutions into real-world products.

What are the key skills and qualifications needed to thrive as a Gen AI engineer?

To thrive as a Gen AI Engineer, you need a solid background in computer science, machine learning, and deep learning, typically supported by a relevant degree and experience with AI model development. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms such as AWS or Google Cloud, and proficiency in programming languages like Python are essential, as are certifications in AI or cloud technologies. Strong problem-solving skills, creativity, and the ability to communicate complex concepts effectively help you stand out in this role. These skills and qualities are crucial for building innovative AI solutions that meet business needs and drive technological advancement.

What are some common challenges Gen AI engineers face when deploying AI models in production environments?

Gen AI Engineers often encounter challenges such as ensuring model scalability, managing computational resources efficiently, and maintaining data privacy when deploying AI models. Additionally, integrating generative models with existing systems can require significant collaboration with DevOps and software engineering teams. Monitoring model performance in real-time and addressing issues like model drift or unexpected outputs are also critical responsibilities to ensure robust and reliable AI solutions.

What is the difference between Gen Ai Engineer vs Data Scientist?

AspectGen Ai EngineerData Scientist
Required CredentialsDegree in Computer Science, AI, or related fields; experience with AI frameworksDegree in Data Science, Statistics, or related fields; strong analytical skills
Work EnvironmentTech companies, AI startups, R&D labsBusiness analytics, research institutions, tech firms
Employer & Industry UsageDevelops generative AI models, focuses on AI product developmentAnalyzes data, builds predictive models, supports decision-making
Search & Comparison IntentUnderstanding AI-specific roles, skills, and responsibilitiesData analysis, insights, and statistical modeling

While both roles involve working with data and AI technologies, a Gen Ai Engineer primarily focuses on developing and deploying generative AI models, whereas a Data Scientist emphasizes analyzing data to extract insights and build predictive models. The roles often overlap in skills and work environment but differ in their core objectives and applications.

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What states have the most Gen Ai Engineer jobs?

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What job categories do people searching Gen Ai Engineer jobs look for?

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Infographic showing various Gen Ai Engineer job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 64% Physical, 4% Hybrid, and 32% Remote job distribution, with an average salary of $111,632 per year, or $53.7 per hour.

Gen-AI Engineers

SysMind Tech

Jersey City, NJ โ€ข On-site

$65 - $70/hr

Full-time

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Gen-AI Engineer
Location: NJ/NY Area
Experience Required: 6-8 years
Positions: 4
End Customer Industry: Financial Services
Bill Rate: $65-$70/hr. Strong candidates at a higher rate may also be submitted for review.
Job Description
We are looking for experienced Gen-AI Engineers with 6-8 years of overall IT experience, including a minimum of 2 years of hands-on experience implementing Generative AI solutions. The ideal candidate should have strong expertise in building, integrating, and deploying AI/ML and Gen-AI solutions for enterprise environments, preferably within the Financial Services domain.
The role will involve working closely with business, data, engineering, and architecture teams to design and implement Gen-AI use cases, integrate LLM-based solutions with enterprise applications, and ensure scalable, secure, and production-ready deployments.
Key Responsibilities
  • Design, develop, and implement Generative AI solutions using LLMs and related AI technologies.
  • Build and deploy Gen-AI applications such as chatbots, document intelligence, knowledge assistants, summarization tools, and automation solutions.
  • Work with frameworks such as LangChain, LlamaIndex, Semantic Kernel, or similar Gen-AI orchestration tools.
  • Integrate Gen-AI solutions with enterprise systems, APIs, databases, and cloud platforms.
  • Develop and optimize prompts, embeddings, vector search, and RAG-based architectures.
  • Collaborate with data engineering and application teams to consume structured and unstructured data.
  • Ensure AI solutions meet enterprise standards for security, scalability, compliance, and performance.
  • Support model evaluation, testing, monitoring, and production deployment.
  • Work with stakeholders to understand business requirements and translate them into technical Gen-AI solutions.
Required Skills
  • 6-8 years of overall experience in software engineering, data engineering, AI/ML, or related technology roles.
  • Minimum 2 years of hands-on experience implementing Generative AI solutions.
  • Strong experience with Python and AI/ML libraries.
  • Hands-on experience with LLMs such as OpenAI, Azure OpenAI, Anthropic, Llama, Gemini, or similar models.
  • Experience with RAG, embeddings, prompt engineering, vector databases, and semantic search.
  • Experience with vector databases such as Pinecone, FAISS, Chroma, Weaviate, Milvus, or Azure AI Search.
  • Experience with cloud platforms such as Azure, AWS, or GCP.
  • Good understanding of APIs, microservices, data pipelines, and application integration.
  • Strong problem-solving, communication, and stakeholder collaboration skills.
Preferred Skills
  • Experience in the Financial Services domain.
  • Experience working with enterprise AI governance, security, compliance, and data privacy requirements.
  • Experience with Azure OpenAI, Azure AI Search, AWS Bedrock, or Google Vertex AI.
  • Experience deploying AI/ML or Gen-AI solutions into production.
  • Knowledge of MLOps, LLMOps, CI/CD, Docker, Kubernetes, or cloud-native deployment.
Education
Bachelor's degree in Computer Science, Engineering, Data Science, Artificial Intelligence, or a related field.
Notes
Candidates must be located in or willing to work in the NJ/NY area. Please submit strong Gen-AI Engineers with proven implementation experience. Candidates slightly above the target bill rate may also be submitted for review if they are a strong technical match.