1

Contract Generative Ai Prompt Engineer Jobs in California

Intellectual Curiosity -- keeps pace with the rapidly evolving LLM and generative AI landscape ... Our AQM Prompt Engineering practice is a newly established center of excellence, designed to ensure ...

Responsibilities Apply relevant AI and machine learning techniques to build and launch generative ... g., prompt/context engineering, agent orchestration) and staying current with emerging AI ...

Responsibilities Apply relevant AI and machine learning techniques to build and launch generative ... g., prompt/context engineering, agent orchestration) and staying current with emerging AI ...

Generative AI Engineer

Sunnyvale, CA · On-site

$100 - $150/hr

Generative AI Engineer - Remote Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States.

Intellectual Curiosity -- keeps pace with the rapidly evolving LLM and generative AI landscape ... Our AQM Prompt Engineering practice is a newly established center of excellence, designed to ensure ...

Showing results 21-40

Contract Generative Ai Prompt Engineer information

What is the difference between Contract Generative Ai Prompt Engineer vs Data Scientist?

AspectContract Generative Ai Prompt EngineerData Scientist
CredentialsTypically requires knowledge of AI, NLP, and prompt engineering; often a background in computer science or related fieldsRequires degrees in statistics, mathematics, or computer science; often with certifications in data analysis or machine learning
Work EnvironmentContract-based, project-specific, often remote or freelanceFull-time, in-house or remote, working with data teams
Industry UsagePrimarily in AI development, chatbot creation, and NLP applicationsAcross industries for data analysis, predictive modeling, and business insights

The Contract Generative Ai Prompt Engineer focuses on designing prompts for AI models, mainly in NLP and AI applications, often on a contract basis. In contrast, Data Scientists analyze data to derive insights, build models, and support decision-making. While both roles require technical skills, their core responsibilities and work environments differ significantly.

What are the most commonly searched types of Generative Ai Prompt Engineer jobs in California?

The most popular types of Generative Ai Prompt Engineer jobs in California are:

What are popular job titles related to Contract Generative Ai Prompt Engineer jobs in California?

For Contract Generative Ai Prompt Engineer jobs in California, the most frequently searched job titles are:

What job categories do people searching Contract Generative Ai Prompt Engineer jobs in California look for?

The top searched job categories for Contract Generative Ai Prompt Engineer jobs in California are:

What cities in California are hiring for Contract Generative Ai Prompt Engineer jobs?

Cities in California with the most Contract Generative Ai Prompt Engineer job openings:

Lead Software Engineer - Generative AI

C3 AI

Redwood City, CA

Full-time

Re-posted 16 days ago


Job description

We are looking for a highly skilled and experienced lead software engineer experienced in the field of machine learning and artificial intelligence, and passionate about Generative AI technology and building next-generation software platforms.

As a member of C3 AI's Generative AI team, you will be tasked with developing the infrastructure and tools to improve the state-of-the-art and enable the use of this game changing technology in our enterprise applications. You'll collaborate with product managers, data scientists and other engineers and will be responsible for the entire software engineering lifecycle. A successful candidate will thrive in a fast-paced, innovative, and highly collaborative environment, and demonstrate an ability to execute precisely and quickly. The ideal candidate will have in-depth experience with putting large scale machine learning models in production and a solid understanding of Large Language Models (LLMs).

Responsibilities:

  • Work across teams to architect robust software engineering solutions and frameworks with cross product impact.
  • Implement and enhance engineering best practices company wide.
  • Build systems and tools to enable and simplify the use of Generative AI technologies in our applications using the C3 AI Platform.
  • Enable scalable end-to-end machine learning pipelines in a distributed system with heterogeneous hardware (GPUs, TPUs, etc.).
  • Work with data scientists to research and implement latest approaches to efficiently train/fine-tune Generative Models.
  • Work with product owners to define and lead the long-term development the C3 Generative AI Suite.
  • Lead cross-team technical design discussions on application architecture, UI components, UX, back-end and third-party integration, and testing.
  • Manage individual project deliverables and mentor junior team members on industry coding standards and design techniques.

Qualifications:

  • Bachelor's degree in Computer Science, Computer Engineering, or related fields, MS preferred.
  • 8+ years of professional software development experience in Python; experience with Java and JavaScript preferred.
  • Proven track record of design and development of full stack web solutions for complex problems.
  • Strong hands-on experience and understanding of data structures, algorithms, profiling/optimization, DRY code, and Object-Oriented and Functional Programming.
  • In-depth understanding of machine learning including deep learning algorithms.
  • Proven track record of applying machine learning algorithms in a production system.
  • Demonstrated end-to-end ownership of projects.
  • Excellent verbal and written communication skills to collaborate multi-functionally and improve scalability.
  • Demonstrated interest for Generative AI technology (e.g., projects with technologies like LangChain, Semantic Kernel, ChatGPT Plugins, etc.).

Preferred Qualifications:

  • Advanced degree in computer science, math, or similar quantitative field.
  • Knowledge of Agile development methodology.
  • Experience in leading engineering teams and projects.