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Llm Prompt Engineer Jobs in Woonsocket, RI (NOW HIRING)

Hasbro

Applied AI Engineer

Boston, MA

Evaluate and adopt emerging techniques in prompt engineering, agentic design, and LLM evaluation that meaningfully advance the quality and reliability of character experiences. What You Will Bring ...

Hasbro

Applied AI Engineer

Boston, MA · On-site

$109K - $163K/yr

Evaluate and adopt emerging techniques in prompt engineering, agentic design, and LLM evaluation that meaningfully advance the quality and reliability of character experiences. What You Will Bring ...

Overture Partners

AI Engineer

Boston, MA · On-site

$65 - $80/hr

Candidates with demonstrated experience delivering scalable LLM-powered solutions, modern AI ... Strong understanding of prompt engineering, embeddings, model evaluation, and AI application ...

Re:Build Manufacturing

Senior AI Engineer

Boston, MA · On-site

$113K - $155K/yr

You've shipped LLM-powered agent systems to real users, you have strong intuitions about prompt engineering, tool use, and orchestration patterns, and you keep up with a field that changes fast. You ...

SevenAI

Senior AI Engineer

Boston, MA · On-site

$113K - $155K/yr

Architect and build LLM-powered systems - design retrieval workflows, context management, agent ... Drive prompt engineering and iteration - refine prompts, templates, and context strategies to meet ...

Citizens

Sr Data Scientist- Generative AI

Westwood, MA · On-site

Evaluate and improve LLM performance through prompt engineering, model benchmarking, hallucination reduction, and faithfulness testing. * Build scalable AI solutions using modern frameworks and ...

Td

Data Scientist II (US) FCRM Modeling

Boston, MA · On-site

Experience with LLM prompt engineering and performance evaluation is a plus * Knowledge of financial crime, anti-money laundering (AML), sanctions screening, watchlist screening, or compliance risk ...

IntraEdge

Sr. Engineer - Backend

Woonsocket, RI

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 ...

Manulife

AI Engineer - Hybrid

Boston, MA · Hybrid

AI Engineer Job Posting Description The AI Engineer will join the AI team supporting the Long-Term ... Implement GenAI and LLM-based solutions, including retrieval-augmented generation, prompt ...

Bevi

GTM Engineer

Boston, MA · Hybrid

Practical experience with LLM APIs (Claude, OpenAI) and prompt engineering; you've shipped AI ... powered workflows in production, not just experimented * Deep Salesforce fluency: data model ...

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Llm Prompt Engineer information

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$55

$81

How much do llm prompt engineer jobs pay per hour?

As of Aug 30, 2026, the average hourly pay for llm prompt engineer in Woonsocket, RI is $55.78, according to ZipRecruiter salary data. Most workers in this role earn between $43.56 and $68.17 per hour, depending on experience, location, and employer.

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 Woonsocket, RI?

For Llm Prompt Engineer jobs in Woonsocket, RI, the most frequently searched job titles are:

What cities near Woonsocket, RI are hiring for Llm Prompt Engineer jobs?

Cities near Woonsocket, RI with the most Llm Prompt Engineer job openings:

Llm Prompt Engineer jobs near you

Senior Software Engineer, Agentic AI

Boston, MA • On-site, Remote

Invicti Security
IT Services • 201 - 500 employees
Learn more about Invicti Securityexternal

$133K - $175K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 7 hours ago

Job description

Who You Are:
You're a seasoned software engineer ready for your next challenge. In this role, you'll join Invicti's newly formed AI team as a Senior Software Engineer, Agentic AI, and play a pivotal role in building our next-generation Agentic AppSec solution. As AI reshapes how software is built and how attackers exploit it, you'll help give defenders an edge by applying attacker-inspired techniques to solve modern security challenges.
You design, build, and deliver software solutions rapidly, working across the stack from agent architectures and memory systems to integrations with security tools and developer workflows. You collaborate closely with product and security teams to deliver capabilities that solve real customer problems. You thrive in a high-ownership role on a small team, where your technical decisions directly shape the product, with an initial focus on agentic pentesting.
What You'll Be Doing:
  • Multi-Agent System Development: Design and implement autonomous agent systems in Python using frameworks like AWS Strands Agents, with emphasis on orchestration, reasoning, and decision-making
  • MCP Integrations: Create Model Context Protocol integrations connecting Octo to security tools, developer environments, and AI coding assistants like Cursor and GitHub Copilot
  • LLM Prompt Engineering: Develop and refine prompt chains for real security use cases, including triage, prioritization, and remediation
  • RAG & Memory Systems: Build retrieval-augmented generation pipelines and memory architectures that give agents a persistent, contextual understanding of customer environments
  • End-to-End Ownership: Own features from design through production - build, test, deploy, and measure outcomes
  • Cross-Team Collaboration: Work closely with product, platform engineering, security research, and infrastructure teams to ensure we're building what customers need
  • Experimentation & Productization: Evaluate new AI/ML capabilities and determine how to bring them to production
What You'll Need:
  • 5+ years of production software development experience with a track record of shipping high quality solutions
  • Hands-on experience building LLM-powered applications, RAG systems, or agentic AI
  • Strong Python proficiency with solid software engineering fundamentals
  • Understanding of distributed systems, API design, and cloud-native architectures
  • Experience with prompt engineering, embeddings, and vector databases
  • End-to-end software development skills, including frontend development, building pipelines, tests, monitoring, and scalability
  • Ability to balance engineering rigor with pragmatic delivery, embracing agentic coding tools like Claude Code to accelerate delivery
  • Clear communication skills - you surface problems early and propose solutions
What's Preferred:
  • Experience with agent frameworks (AWS Strands, LangGraph, AutoGen, CrewAI) in production environments
  • Familiarity with MCP (Model Context Protocol) and AI tool integration patterns
  • Background in application security, penetration testing, or security tooling
  • Experience with Go or C# for performance-critical components
  • Ability to build single-page applications using Vue.js
  • AWS experience with Bedrock and Kubernetes deployments
  • Familiarity with using GitLab for source control and CICD
  • Knowledge of evaluation methodologies for LLM systems (benchmarks, red-teaming, human feedback)
  • Experience building third-party product integrations using REST APIs
  • Contributions to open-source AI/ML projects
What You've Got:
  • Strong problem-solving mindset with intellectual curiosity about AI/ML
  • High degree of ownership, accountability, and initiative
  • Comfortable working in fast-paced environments where prototypes are rapidly iterated or discarded
  • Excited about autonomous AI systems and seeing your work used by real customers
  • Adaptable and effective working across distributed teams
  • Detail-oriented, with a focus on delivering systems that scale and last
Why Invicti:
Your Health & Wellness Matters:
  • Health Insurance: We cover 100% of employee health care, vision, and dental premium costs. For dependents, we contribute 75% of healthcare and 50% vision/dental premium cost. Coverage is effective on your first day.
  • Employee Assistance Program: Emotional support counseling services - 24/7 life coaching, dependent care, elder care, financial & legal support, wellness coaching, new parent support, and more
  • Parental Leave: 16-week paid leave for birthing parent recovery; 4-week paid leave for non-birthing/bonding parent
  • 401(k) Savings Plan: 50% up to 6% company match with 100% annual cliff vesting
We Value Work/Life Balance:
  • Hybrid Flexible Schedule
  • Discretionary Time Off: Take time away from work when you need it (subject to manager approval)
  • Quarterly Thrive-Wellness Days: One extra day per quarter where the entire company takes a break to refresh and rejuvenate
  • Volunteerism Time Off: 5 days of paid time off each year to participate in volunteer activities of your choice
We Value You:
  • Learning & Development Budget: Investment in your professional growth
  • Employee Recognition: Ongoing recognition & rewards in a culture that emphasizes personal and professional growth

At Invicti, we embrace diversity and individuality in all forms. Discrimination has no place here - regardless of race, religion, gender, age, ability, sexual orientation, or any other aspect that makes you unique. We're all about creating a space where everyone feels valued and included. So come as you are and join us in shaping the future of our industry.

Apply