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Generative Ai Jobs (NOW HIRING)

Uncountable

Platform Engineer - Generative AI

New York, NY · On-site

$120K - $160K/yr

Description Uncountable is seeking driven software engineers with a focus on Generative AI deployment in software. Uncountable's software platform is used by scientists in leading scientific R&D ...

Writer

Software engineer, generative AI

San Francisco, CA · On-site

$111K - $304K/yr

As a software engineer, generative ai at WRITER, you'll be at the forefront of expanding human capacity by building the secure, scalable foundation that allows our generative AI solutions to thrive ...

Deloitte

Generative AI Data Engineer III

Atlanta, GA · On-site

$110K - $132K/yr

Share this job: Share: Share Generative AI Data Engineer III with Facebook Share Generative AI Data Engineer III with LinkedIn Share Generative AI Data Engineer III with Twitter Caution against ...

Nvidia

Solutions Architect, Generative AI

Santa Clara, CA · On-site

$74 - $97.50/hr

The Generative AI Partners Enablement Solutions Architect team is committed to leveraging advanced technologies to address and expedite the deployment of solutions for customers' real-world ...

Hearst

Director, Generative AI Enablement

Manhattan, NY · On-site

As the Director, Generative AI Enablement, you will work in a fast-paced environment and be responsible for orchestrating cross-functional teams of technical specialists and performing hands-on work ...

Hearst

Senior Engineer, Generative AI

New York, NY

$114K - $157K/yr

Design and develop Generative AI applications and features using modern LLM APIs and open-source models * Create and optimize multi-agent systems using frameworks like LangChain and advanced RAG ...

Peraton

Generative AI Specialist / AI & ML Developer

$135K - $216K/yr

Generative AI Specialist / AI & ML Developer Location: Remote About the Role * Peraton is seeking an experienced Generative AI Specialist to support high-impact Internal Research and Development ...

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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Generative Ai information

What is a Generative AI job?

A Generative AI job involves developing, fine-tuning, or deploying AI models that can create content such as text, images, music, or code. Professionals in this field work with machine learning frameworks, large language models, and neural networks to improve AI-generated outputs. Roles may include AI researchers, machine learning engineers, prompt engineers, or data scientists specializing in generative models. These jobs require expertise in programming (Python, TensorFlow, PyTorch), data processing, and AI ethics.

What are generative AI jobs?

Generative AI jobs involve developing and deploying artificial intelligence systems that create content such as text, images, or audio. These roles typically require skills in machine learning, deep learning frameworks, and programming languages like Python, often involving tasks like model training, data preparation, and algorithm optimization.

What are the primary responsibilities of a Generative AI Specialist on a typical team?

A Generative AI Specialist typically focuses on designing, training, and fine-tuning generative models, such as those used for text, image, or audio generation. You may be responsible for researching the latest advancements, preparing datasets, evaluating model performance, and collaborating closely with data engineers, product managers, and software developers to integrate solutions into products. In many organizations, you’ll also participate in brainstorming sessions to explore new applications of generative AI, contribute to technical documentation, and support model monitoring or improvement post-deployment. This role requires a blend of technical expertise and teamwork, offering a dynamic environment where you can have a direct impact on cutting-edge innovation.

What are the key skills and qualifications needed to thrive in the Generative Ai position, and why are they important?

To thrive as a Generative AI Specialist, you need a strong background in machine learning, deep learning, and natural language processing, often supported by a relevant degree such as computer science or data science. Expertise with frameworks like TensorFlow or PyTorch, proficiency in Python, and knowledge of cloud platforms are commonly expected, with additional certifications in AI or related fields seen as valuable assets. Strong problem-solving abilities, creativity, and effective communication skills set top candidates apart. These skills are crucial for designing, developing, and deploying advanced generative models that address real-world business needs.

What jobs or careers use generative AI?

Generative AI is used in roles such as AI researchers, machine learning engineers, data scientists, and AI product developers. These jobs involve designing, training, and deploying AI models that generate content, images, or text, often requiring skills in programming, deep learning frameworks, and data analysis.

Is GenAI a good career?

A career in Generative AI involves developing and applying AI models that create content, requiring skills in machine learning, programming, and data analysis. The field is growing rapidly with increasing demand for AI expertise across industries, offering opportunities in research, development, and deployment. Continuous learning and familiarity with tools like neural networks and deep learning frameworks are important for success.

What is a $900,000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior machine learning engineer, AI research director, or executive role, often requiring advanced skills in deep learning, data science, and programming. These roles usually involve leadership, strategic planning, and extensive experience, and they may be found in large tech companies or specialized AI firms with competitive compensation packages.
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Generative Ai jobs near you
Infographic showing various Generative Ai job openings in the United States as of June 2026, with employment types broken down into 52% Full Time, 4% Temporary, and 44% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution.

Senior Generative AI Engineer

SBT Global, Inc.

Ridgefield Park, NJ • On-site

$10K/mo

Full-time

Posted 21 days ago

Key responsibilities

  • Design, build, and deploy production-grade AI applications powered by large language models.

  • Develop and productionize retrieval-augmented generation pipelines using enterprise data sources and vector databases.

  • Collaborate with stakeholders to translate business problems into scalable AI systems that deliver measurable value.

Job description

Company Description
On-Site
1yr contract
$10950/month
Job Description
About the Role
We are seeking a Senior Generative AI Engineer to design, build, and deploy production-grade AI applications powered by large language models (LLMs). In this role, you will lead the end-to-end development of Generative AI solutions, including LLM-powered applications, retrieval-augmented generation (RAG) systems, agentic workflows, model evaluation pipelines, and production infrastructure.
You will work cross-functionally with product, finance, data, and business stakeholders to translate real-world business problems into scalable AI systems that deliver measurable value.
Job Description:
  • Design and develop algorithms for generative models using deep learning techniques
  • Design and build LLM-powered applications for internal and/or customer-facing use cases
  • Develop and productionize RAG pipelines using enterprise data sources, vector databases, and retrieval systems
  • Build and optimize AI agents / agentic workflows for task automation, reasoning, and orchestration
  • Integrate model providers such as OpenAI, Anthropic, Azure OpenAI, AWS Bedrock, and open-source models where appropriate
  • Create robust evaluation frameworks for response quality, factuality, latency, safety, and reliability
  • Implement prompt engineering, structured outputs, tool calling, and model optimization strategies
  • Deploy scalable AI services to cloud environments using modern software engineering and MLOps practices
  • Build monitoring, observability, and feedback loops for model and application performance in production
  • Establish and maintain guardrails, responsible AI practices, and security controls for enterprise AI systems
  • Collaborate with product managers, designers, and business stakeholders to identify high-impact AI opportunities
  • Mentor other engineers and contribute to architecture, technical direction, and engineering best practices

Qualifications
Required Qualifications
  • Bachelor's degree in Computer Science, Engineering, Machine Learning, or a related field
  • 5+ years of software engineering, machine/deep learning engineering, or applied AI experience
  • 2+ years of hands-on experience building and deploying Generative AI / LLM-based systems in production
  • Strong programming skills in Python and experience with backend/API development
  • Experience with LLM application development, including prompt engineering, RAG, tool use, and structured output design
  • Experience in optimizing RAG pipelines using both structured and unstructured data
  • Experience with orchestration frameworks such as LangChain, LlamaIndex, Semantic Kernel, or equivalent
  • Experience in generative AI techniques such as GANs, and VAEs
  • Hands-on experience with vector databases / retrieval systems such as Pinecone, Weaviate, Chroma, FAISS, Elasticsearch, or Azure AI Search
  • Experience with cloud platforms such as AWS, GCP, or Azure
  • Experience with Docker, Kubernetes, CI/CD, and production deployment practices
  • Strong understanding of software architecture, scalability, reliability, and distributed systems
  • Experience building evaluation, testing, and monitoring for AI systems
  • Strong communication skills and ability to work closely with technical and non-technical stakeholder

Preferred Qualifications
  • Experience fine-tuning or adapting open-source LLMs
  • Advanced knowledge of natural language processing for text generation tasks
  • Experience with PyTorch, TensorFlow, JAX, or related ML frameworks
  • Experience with MLOps tools such as MLflow, SageMaker, Vertex AI, Azure ML, Kubeflow, or similar
  • Experience building multi-agent systems or advanced orchestration workflows
  • Experience with AI safety, guardrails, red-teaming, privacy, and governance
  • Familiarity with search, ranking, recommendation, conversational AI, or enterprise knowledge systems
  • Experience in customer-facing or enterprise SaaS products
  • Experience in semiconductor/manufacturing, retail and e-commerce sectors

Additional Information
All your information will be kept confidential according to EEO guidelines.

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