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Llm Prompt Engineer Jobs in Rhode Island (NOW HIRING)

Familiarity with LLM concepts (prompt engineering, APIs for model access, basic NLP tasks) * Experience with RESTful APIs , API security, and integration patterns * Proficient in Docker , Git, and ...

Software Engineer I

Johnston, RI · On-site

$90 - $130/hr

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 ...

Project Engineer, Sr. Level

Providence, RI · On-site

$100K - $130K/yr

... maintain prompt chains, context profiles, and secure API wrappers • Integrate with client ... well as non-LLM-as-a-judge approaches • Skilled in experimentally driven human-computer ...

Lead AI Application Security Engineer

NC · On-site +1

$59 - $78.75/hr

Evaluate, implement, and manage AI security tooling, including AI firewalls, prompt injection ... Hands-on experience securing AI/ML platforms, LLM applications, agentic AI systems, or enterprise ...

Senior Software Engineer

Providence, RI · On-site +1

$123K - $162K/yr

The Senior Software Engineer designs, builds, and maintains the technical systems and application ... LLM APIs and prompt-driven workflows * Knowledge of data pipeline architecture, data APIs, and ...

Senior Software Engineer

Providence, RI · On-site +1

$123K - $162K/yr

The Senior Software Engineer designs, builds, and maintains the technical systems and application ... LLM APIs and prompt-driven workflows * Knowledge of data pipeline architecture, data APIs, and ...

Llm Prompt Engineer information

What is an LLM Prompt Engineer?

An LLM Prompt Engineer is a professional who specializes in designing, testing, and optimizing prompts for large language models (LLMs) such as GPT-4. Their role involves crafting effective instructions and queries to guide the model's output for specific applications, ensuring accuracy, relevance, and reliability. They may also analyze model behavior, implement prompt-based workflows, and collaborate with developers to integrate LLMs into products or services. The goal is to maximize the performance and efficiency of language models in various real-world contexts.

What are the key skills and qualifications needed to thrive as an LLM Prompt Engineer?

To thrive as an LLM Prompt Engineer, you need a deep understanding of natural language processing, prompt engineering strategies, and proficiency in programming languages such as Python, often supported by a degree in computer science or a related field. Familiarity with machine learning frameworks (like TensorFlow or PyTorch), large language model APIs, and version control systems is typically required. Strong analytical thinking, creativity, and effective communication are crucial soft skills for crafting precise prompts and collaborating with cross-functional teams. These skills ensure the development of effective, ethical, and high-performing AI-powered solutions that meet diverse user needs.

What are some common challenges faced by LLM Prompt Engineers when designing effective prompts for large language models?

LLM Prompt Engineers often encounter challenges such as ensuring prompts are both clear and unambiguous to elicit accurate model responses, as well as avoiding bias or unintended outputs. Balancing creativity and specificity in prompt design can be tricky, especially when tailoring prompts for diverse user intents or specialized domains. Additionally, prompt engineers must frequently iterate and test their prompts, collaborating closely with data scientists and product teams to continually refine them based on observed model behavior and user feedback.

What is the difference between Llm Prompt Engineer vs Data Scientist?

AspectLlm Prompt EngineerData Scientist
Required CredentialsBachelor's in CS, AI, or related fields; familiarity with NLP and AI toolsBachelor's or higher in CS, Statistics, or related fields; strong programming and statistical skills
Work EnvironmentAI labs, tech companies, startups focusing on NLP and AI modelsData analysis, modeling, and visualization in various industries like finance, healthcare, tech
Employer & Industry UsagePrimarily in AI development, NLP projects, and machine learning teamsAcross industries for data analysis, predictive modeling, and decision support

While both roles involve working with data and AI, Llm Prompt Engineers focus on designing prompts for language models, whereas Data Scientists analyze data to derive insights. The roles share similar educational backgrounds and work environments but differ in their core tasks and industry applications.

Are AI prompt engineers in demand?

AI prompt engineers are increasingly in demand as organizations seek to optimize interactions with large language models and AI systems. The role requires skills in natural language processing, prompt design, and familiarity with AI tools, with job growth driven by expanding AI applications across industries.

What are popular job titles related to Llm Prompt Engineer jobs in Rhode Island?

For Llm Prompt Engineer jobs in Rhode Island, the most frequently searched job titles are:

What job categories do people searching Llm Prompt Engineer jobs in Rhode Island look for?

The top searched job categories for Llm Prompt Engineer jobs in Rhode Island are:

What cities in Rhode Island are hiring for Llm Prompt Engineer jobs?

Cities in Rhode Island with the most Llm Prompt Engineer job openings:

Infographic showing various Llm Prompt Engineer job openings in Rhode Island as of August 2026, with employment types broken down into 100% Full Time. Highlights an 82% In-person, and 18% Remote job distribution.

Sr. Engineer - Backend

IntraEdge

Woonsocket, RI

Full-time

Re-posted 22 days ago


Job description

Position Overview:
We are seeking a Senior Backend Engineer with strong experience in Functional Java, SpringBoot, and distributed systems. The ideal candidate will also bring hands-on knowledge of Apache Kafka, Redis, and cloud-native development on Google Cloud Platform (GCP). A working understanding of Large Language Models (LLMs) and AI service integration will be considered a strong plus.



Key Responsibilities:

  • Design, develop, and maintain scalable microservices using Functional Java and SpringBoot
  • Architect and implement real-time data pipelines and event-driven systems using Apache Kafka
  • Integrate Redis for performance-optimized caching and session management
  • Build and deploy containerized services using Docker on GCP (Cloud Run, GKE, Pub/Sub, etc.)
  • Collaborate with data science and product teams to incorporate pre-trained LLMs (e.g., OpenAI, Hugging Face models) into backend workflows
  • Participate in system architecture discussions, performance tuning, and design reviews
  • Ensure test coverage and continuous delivery through robust CI/CD pipelines
  • Troubleshoot complex issues in distributed environments and resolve production incidents swiftly

Required Skills & Experience:

  • 6-10 years of backend engineering experience
  • Strong proficiency in Java, ideally with Functional Programming practices
  • Expertise in SpringBoot and microservice architecture
  • Deep hands-on experience with Apache Kafka for stream processing and event-driven design
  • Solid knowledge of Redis for caching, message brokering, and performance tuning
  • Practical experience with GCP services: Cloud Run, GKE, Pub/Sub, Storage, IAM
  • Familiarity with LLM concepts (prompt engineering, APIs for model access, basic NLP tasks)
  • Experience with RESTful APIs, API security, and integration patterns
  • Proficient in Docker, Git, and building/maintaining CI/CD pipelines
  • Strong analytical, debugging, and performance tuning skills in cloud-native environments

Preferred Qualifications:

  • GCP certification or prior experience deploying production-grade systems on GCP
  • Exposure to AI/ML integration workflows, especially model orchestration and prompt testing
  • Experience working in Agile/Scrum teams with a DevOps mindset
  • Contributions to open-source projects or backend engineering blogs
Education:Employment Type: FULL_TIME

IntraEdge logo

About IntraEdge

Sourced by ZipRecruiter

At heart, we are a technology, products and services organization In our soul, it’s the people who make us what we are — the professionals we train and connect to next-level opportunities and the experts who create innovative solutions and value for our national and international partners. It’s true that innovative technology can provide a major boost to your business, but you also need the right talent pushing it forward. This critical combination is what we offer all of our partners: cutting edge tech solutions and the expertise to bring it to life.

Industry

It services

Company size

1,001 - 5,000 Employees

Headquarters location

Chandler, AZ, US

Year founded

2002

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