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Temporary Large Language Model Llm Jobs in Rhode Island

Software Engineer I

Johnston, RI · On-site

$90 - $130/hr

Learn emerging AI technologies, including large language models, Retrieval-Augmented Generation ... Prompt engineering or LLM application development * Retrieval-Augmented Generation (RAG) * Docker ...

A working understanding of Large Language Models (LLMs) and AI service integration will be ... Familiarity with LLM concepts (prompt engineering, APIs for model access, basic NLP tasks)

Principal Software Engineer

Johnston, RI · On-site

$135K - $182K/yr

Build customer-facing solutions utilizing Large Language Models (LLMs). * Implement AI-driven automation for engineering and operational processes. * Develop multi-agent workflows for orchestration ...

Principal Software Engineer

Johnston, RI · On-site +1

$135K - $182K/yr

Build customer-facing solutions utilizing Large Language Models (LLMs). * Implement AI-driven automation for engineering and operational processes. * Develop multi-agent workflows for orchestration ...

ChatGPT Tutor

Providence, RI · Remote

$18 - $40/hr

... of large language model limitations. Ability to explain effective prompt construction, context window management, and responsible AI usage while preparing students for productive and ethical AI ...

Large-scale graph representation learning and Graph Neural Networks (GNNs) (e.g., GCN/GAT/GraphSAGE, heterogeneous GNNs, graph transformers), large language modeling for structured and unstructured ...

... language, analysis and classified information. Most assignments are at shore-based Centers of Excellence, with opportunities for temporary duty aboard surface and subsurface platforms. Work ...

Posted today

... language, analysis and classified information. Most assignments are at shore-based Centers of Excellence, with opportunities for temporary duty aboard surface and subsurface platforms. Work ...

Posted today

... language, analysis and classified information. Most assignments are at shore-based Centers of Excellence, with opportunities for temporary duty aboard surface and subsurface platforms. Work ...

Posted today

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Temporary Large Language Model Llm information

What is a temporary large language model LLM?

Temporary Large Language Model (LLM) roles involve short-term positions where individuals work with or support the development, training, or deployment of large language models like GPT or similar AI technologies. These roles may include tasks such as data annotation, prompt engineering, model evaluation, or assisting in content moderation powered by LLMs. Temporary LLM roles are often project-based and can be found in tech companies, research labs, or organizations utilizing AI for various applications. They generally require familiarity with AI concepts, attention to detail, and sometimes programming skills.

What are the key skills and qualifications needed to thrive as a temporary large language model LLM?

To thrive as a Large Language Model (LLM) Engineer, you need a strong background in computer science, machine learning, and natural language processing, often supported by a relevant degree. Proficiency with tools like Python, TensorFlow or PyTorch, and experience with cloud platforms and version control systems is typically required. Strong problem-solving skills, attention to detail, and effective communication help engineers collaborate and innovate in complex projects. These skills are crucial for developing, fine-tuning, and deploying LLMs that deliver accurate and ethical AI solutions.

What are the typical challenges faced by professionals working in a temporary large language model LLM role, and how can they be addressed?

Professionals in temporary Large Language Model (LLM) roles often encounter challenges such as quickly adapting to new datasets, ensuring data privacy, and optimizing model performance within tight deadlines. Since these roles are project-based, there may be limited onboarding time, requiring a strong ability to learn and collaborate rapidly with cross-functional teams like data engineers and product managers. To succeed, it's helpful to be proactive in seeking clarification, documenting work thoroughly, and staying updated on the latest advancements in LLM technologies.

What is the difference between Temporary Large Language Model Llm vs Data Scientist?

AspectTemporary Large Language Model LlmData Scientist
Required CredentialsTypically no formal degree, but expertise in AI/ML and programmingUsually requires a degree in Computer Science, Statistics, or related fields
Work EnvironmentAI development teams, research labs, tech companiesData analysis, modeling, and business insights in various industries
Employer & Industry UsageTech firms, AI startups, research institutionsFinance, healthcare, e-commerce, and more
Common Search & ComparisonFocuses on AI model deployment and developmentFocuses on data analysis and insights

The main difference is that a Temporary Large Language Model Llm is an AI system or model used for language processing, while a Data Scientist analyzes data to generate insights. The Llm is a tool or product, whereas the Data Scientist is a professional role that may utilize models like Llm in their work.

What are popular job titles related to Temporary Large Language Model Llm jobs in Rhode Island?

For Temporary Large Language Model Llm jobs in Rhode Island, the most frequently searched job titles are:

What job categories do people searching Temporary Large Language Model Llm jobs in Rhode Island look for?

The top searched job categories for Temporary Large Language Model Llm jobs in Rhode Island are:

What cities in Rhode Island are hiring for Temporary Large Language Model Llm jobs?

Cities in Rhode Island with the most Temporary Large Language Model Llm job openings:

Software Engineer I

Worky

Johnston, RI • On-site

$90 - $130/hr

Other

Posted 5 days ago


Job description

AI Software Engineer

We are seeking a motivated and curious AI Software Engineer to help build and support next-generation AI solutions, including Agentic AI capabilities that can plan, reason, and complete tasks using tools and workflows. This is an excellent opportunity for a recent college graduate or early-career engineer with a passion for artificial intelligence, software development, and solving real-world business problems.

Working alongside experienced engineers and AI specialists, you will contribute to the design, development, testing, and deployment of AI-powered applications that improve customer experiences and business operations while learning modern AI engineering practices.

This is not a Remote position but 4 days in the office and 1 Hybrid

Key Responsibilities AI Application Development
  • Assist in designing, developing, and testing AI-powered applications and intelligent workflows.
  • Build and integrate APIs, internal services, and data sources that support AI solutions.
  • Help develop AI agents capable of completing business tasks using large language models (LLMs) and workflow orchestration tools.
  • Participate in improving the reliability, quality, and performance of AI applications.
Software Engineering
  • Write clean, maintainable, and well-tested code using modern software engineering practices.
  • Contribute to cloud-based applications and backend services.
  • Support CI/CD pipelines, testing, monitoring, and deployment activities.
  • Troubleshoot issues and participate in debugging and performance improvements.
Learning & Innovation
  • Learn emerging AI technologies, including large language models, Retrieval-Augmented Generation (RAG), prompt engineering, and AI agent frameworks.
  • Experiment with new tools and techniques to improve AI capabilities.
  • Participate in code reviews, design discussions, and team knowledge sharing.
Collaboration
  • Work closely with software engineers, product managers, architects, and data teams to deliver AI solutions.
  • Help translate business requirements into technical solutions.
  • Contribute ideas and continuously improve development processes.
Security & Responsible AI
  • Follow secure coding practices and organizational security standards.
  • Help ensure AI applications protect sensitive information and comply with company policies.
  • Learn and apply responsible AI principles when developing AI solutions.
Preferred Qualifications
  • Bachelor’s degree in computer science, Software Engineering, Data Science, Artificial Intelligence, or a related field.
  • Internship, research, academic, or personal project experience developing software applications.
  • Familiarity with Python and an interest in learning additional programming languages as needed.
  • Basic understanding of REST APIs, object-oriented programming, and software development fundamentals.
  • Exposure to cloud platforms (AWS, Azure, or Google Cloud) through coursework or projects is a plus.
  • Coursework or hands‑on experience with machine learning, generative AI, or large language models is preferred.
  • Familiarity with Git and collaborative software development practices.
  • Strong analytical, problem‑solving, and communication skills.
  • Eagerness to learn new technologies and grow in a collaborative environment.

Experience with any of the following through coursework, internships, research, hackathons, or personal projects:

  • Python AI frameworks such as Lang Chain, Llama Index, or similar tools
  • Prompt engineering or LLM application development
  • Retrieval-Augmented Generation (RAG)
  • Docker or containerization
  • SQL and relational databases
  • JavaScript, Java, or Go
  • GitHub Actions or CI/CD concepts
  • AI coding assistants such as GitHub Copilot or Cursor
What Success Looks Like
  • Successfully contributes to AI projects while growing technical expertise.
  • Delivers reliable, well‑tested code and collaborates effectively with teammates.
  • Continuously learns new AI technologies and applies them to solve business problems.
  • Demonstrates curiosity, initiative, and a willingness to take on new challenges.
  • Helps build AI solutions that improve customer experience and business operations.

Equal Employment Opportunity

Citizens, its parent, subsidiaries, and related companies (Citizens) provide equal employment and advancement opportunities to all colleagues and applicants for employment without regard to age, ancestry, color, citizenship, physical or mental disability, perceived disability or history or record of a disability, ethnicity, gender, gender identity or expression, genetic information, genetic characteristic, marital or domestic partner status, victim of domestic violence, family status/parenthood, medical condition, military or veteran status, national origin, pregnancy/childbirth/lactation, colleague’s or a dependent’s reproductive health decision making, race, religion, sex, sexual orientation, or any other category protected by federal, state and/or local laws. At Citizens, we are committed to fostering an inclusive culture that enables all colleagues to bring their best selves to work every day and everyone is expected to be treated with respect and professionalism. Employment decisions are based solely on merit, qualifications, performance and capability.

Equal Employment and Opportunity Employer

Job Applicant Data Privacy Policy

Background Check

Any offer of employment is conditioned upon the candidate successfully passing a background check, which may include initial credit, motor vehicle record, public record, prior employment verification, and criminal background checks. Results of the background check are individually reviewed based upon legal requirements imposed by our regulators and with consideration of the nature and gravity of the background history and the job offered. Any offer of employment will include further information.

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