ZipRecruiter

Log In

1

Genai Engineer Jobs (NOW HIRING)

ClifyX

GenAI Engineer

Wilmington, DE · On-site

ClifyX is a company focused on innovative technology solutions, and they are seeking a GenAI Engineer to design and develop AI and Machine Learning solutions specifically for banking applications.

GTT, LLC

GenAI Engineer

San Francisco, CA · Hybrid

$80 - $100/hr

GenAI Engineer Location: San Francisco, CA Onsite Flexibility: Hybrid Contract Details * Position Type: Contract * Contract Duration: 4 months * Pay Rate: $80.00 $100.00 / Hour (USD) * Work ...

Centstone

Senior GenAI Engineer

Jersey City, NJ · On-site

$60 - $70/hr

Senior GenAI Engineer Location: Jersey City, NJ (Onsite) Pay Rate: $60-$70/Hour Contract: Contract Schedule: Onsite Experience: 15+ Years About the Role We are seeking a highly experienced Senior ...

Inficare Technologies

Sr. GenAI Engineer

Jersey City, NJ · On-site

$108K - $149K/yr

Job Title: Sr. GenAI Engineer Location: Jersey City, NJ (5 Days Onsite) Job Type: 12+ Month Contract Experience: 15+ years Job Overview Our client is seeking a highly skilled Senior GenAI Engineer ...

Staffingine LLC

GenAI Engineer

Redmond, WA · On-site

GenAI Engineer Job Location: Redmond, WA Job Type: Contract * Design and implement RAG pipelines using hybrid search, vector, keyword, semantic ranking, and metadata enrichment * Apply chunking ...

PhoenixTeam

GenAI Engineer

Arlington, VA · Remote

Role Overview We're looking for a hands-on, execution-oriented GenAI Engineer to help design, implement, and scale generative AI solutions across real client environments. This is not a purely ...

Staffingine LLC

AI/GenAI Engineer

Irvine, CA · On-site

AI/GenAI Engineer Job Location: Irvine, CA Job Type: Contract * Lead and conduct advanced research in AI and Generative AI to develop innovative solutions. * Design and implement machine learning ...

Sogeti

GenAI Engineer

New Brunswick, NJ · On-site

Partner closely with Data Engineering teams to ensure high-quality, reliable, and feature-ready datasets for AI and GenAI applications . What you will bring : * Bachelor's or Master's degree in ...

New

Sogeti

GenAI Engineer

New Brunswick, NJ · On-site

Partner closely with Data Engineering teams to ensure high-quality, reliable, and feature-ready datasets for AI and GenAI applications . What you will bring : * Bachelor's or Master's degree in ...

New

Accenture LLP

GenAI Engineer

Washington, DC · On-site

G, Prompt Engineering Expertise, Large Language Model Expertise (Selection, fine tuning, and deployment) and GenAI Use Case evaluation. You will collaborate with a community of GenAI leaders ...

GTT, LLC

Lead GenAI Engineer

San Francisco, CA · Hybrid

$80 - $100/hr

Lead GenAI Engineer Location: San Francisco, CA Onsite Flexibility: Hybrid Contract Details * Position Type: Contract * Contract Duration: 4 months * Pay Rate: $80.00 $100.00 / Hour (USD) * Work ...

1 point system

GenAI Engineer

New York, NY · Remote

Self-motivated individual with a passion for solving hard problems using AI/GenAI. Must have ... Programming Skills: Expertise in Python and tools like Hugging Face, Langchain, and OpenAI API.

next page

Showing results 1-20

All JobsGenai Engineer Jobs

Genai Engineer information

What is a GenAI engineer?

A GenAI Engineer is a professional who specializes in designing, developing, and deploying generative artificial intelligence (AI) models and applications. This role involves working with advanced machine learning techniques, such as large language models and generative adversarial networks, to create systems that can generate text, images, code, or other content. GenAI Engineers collaborate with data scientists, software engineers, and product teams to integrate AI capabilities into products and services, ensuring ethical use and scalability. They also stay updated on the latest developments in AI research to continually improve model performance and effectiveness.

What are the key skills and qualifications needed to thrive as a GenAI engineer, and why are they important?

To thrive as a GenAI Engineer, you need expertise in machine learning, deep learning, and programming languages such as Python, along with a solid understanding of generative models like GANs and transformers. Familiarity with frameworks such as TensorFlow or PyTorch, and experience with cloud platforms and MLOps tools, are highly valuable; advanced degrees or certifications in AI or data science are often preferred. Strong problem-solving, creativity, and communication skills help GenAI Engineers design innovative solutions and effectively collaborate with multidisciplinary teams. These skills ensure the development of robust, scalable generative AI systems that address complex real-world challenges.

What are some typical challenges a GenAI engineer faces when deploying AI models in production environments?

GenAI Engineers often encounter challenges such as ensuring model scalability, addressing bias in generated outputs, and maintaining performance consistency in real-world applications. Deploying generative AI models requires careful monitoring to prevent unexpected or inappropriate outputs, as well as efficient resource management to handle large-scale computations. Collaborating closely with data engineers, product managers, and ML operations teams is essential to streamline deployment pipelines and quickly resolve issues that arise in live environments.

What is the difference between Genai Engineer vs Data Scientist?

AspectGenai EngineerData Scientist
Required CredentialsDegree in Computer Science, AI, or related fields; experience with AI/ML frameworksDegree in Data Science, Statistics, or related fields; strong programming skills
Work EnvironmentDevelops AI models, fine-tunes generative AI systems, collaborates with AI teamsAnalyzes data, builds predictive models, interprets complex datasets
Employer & Industry UsageTech companies, AI startups, research labs focusing on generative AIFinance, healthcare, marketing, and tech firms analyzing data for insights

While both roles require strong technical skills and a background in data or AI, Genai Engineers focus on developing and deploying generative AI models, whereas Data Scientists analyze data to extract insights and build predictive models. The roles often overlap but serve different primary functions within AI and data-driven organizations.

More about Genai Engineer jobs

What cities are hiring for Genai Engineer jobs?

Cities with the most Genai Engineer job openings:

What states have the most Genai Engineer jobs?

States with the most job openings for Genai Engineer jobs include:

What job categories do people searching Genai Engineer jobs look for?

The top searched job categories for Genai Engineer jobs are:

Genai Engineer jobs near you
Infographic showing various Genai Engineer job openings in the United States as of August 2026, with employment types broken down into 94% Full Time, 2% Part Time, and 4% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution.

GenAI Engineer

Tata Consultancy Service Limited

Wilmington, DE • On-site

$100K - $110K/yr

Full-time

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

Job description

GenAI Engineer
Design and develop AI/ML and Generative AI solutions for banking use cases including fraud detection, risk modeling, and customer analytics.
• Build, fine-tune, and deploy ML models and LLMs for credit scoring, AML, and automation
• Implement RAG-based GenAI applications using internal banking data
• Develop scalable data pipelines for training, validation, and real-time inference
• Collaborate with risk, compliance, finance, and business teams for AI solutions
• Ensure regulatory compliance and AI governance standards
• Implement data security, privacy, and access control mechanisms
• Integrate AI models into production using APIs and microservices
• Apply prompt engineering and model optimization techniques
• Monitor model performance, drift detection, and continuous improvement
• Develop explainable AI (XAI) for transparent decision-making
• Optimize cost, latency, and scalability of AI systems
• Troubleshoot AI/ML system issues across data and deployment layers
• Write efficient Python code using AI frameworks
• Follow MLOps best practices (CI/CD, automated deployment)
• Ensure responsible AI practices (bias, fairness, ethics)
• Mentor teams and contribute to enterprise AI platforms.
• Languages: Python
• AI/ML & GenAI: Machine Learning, Deep Learning, LLMs, Prompt Engineering, Fine-tuning
• Frameworks: TensorFlow, PyTorch
• GenAI Tools: LangChain, LlamaIndex
• Vector DB: Pinecone, FAISS
• Cloud Technologies: AWS / Azure / GCP
• Data Pipelines: ETL/ELT, Real-time & Batch Processing
• Integration: APIs, Microservices
• Concepts: RAG Architecture, XAI, Model Optimization
• Methodologies: Agile/Scrum, MLOps (CI/CD, Model Versioning, Deployment)
• Compliance: Banking regulations (SR 11-7, GDPR), Model Risk Management
• Soft Skills: Strong communication, stakeholder management, and analytical thinking
Salary Range- $100,000-$110,000 a year
#LI-SP3
#LI-VX1

Apply