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Prompt Engineer Jobs in Lawrence, MA (NOW HIRING)

Working closely with engineers, creative partners, and brand leaders, the Applied AI Engineer will define prompt architecture, own guardrails and evaluation frameworks, and build the retrieval ...

Applied AI Engineer

Boston, MA · On-site

$109K - $163K/yr

Working closely with engineers, creative partners, and brand leaders, the Applied AI Engineer will ... Lead prompt versioning, regression testing, and model evaluation practices to ensure character ...

Senior AI Engineer

Boston, MA · On-site

$113K - $155K/yr

Drive prompt engineering and iteration - refine prompts, templates, and context strategies to meet product quality and reliability goals. * Manage real-world evaluation metrics - measure usefulness ...

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 ...

Implement prompt engineering and optimization strategies to improve intelligent assistant interactions and AI-powered applications. * Lead maintenance, bug fixing, troubleshooting, and enhancements ...

Expertise in prompt engineering, retrieval pipelines, and modular AI system design. * Strong background in engineering data workflows, including structured and unstructured data integration.

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Prompt Engineer information

See Lawrence, MA salary details

$10

$49

$92

How much do prompt engineer jobs pay per hour?

As of Jul 26, 2026, the average hourly pay for prompt engineer in Lawrence, MA is $49.40, according to ZipRecruiter salary data. Most workers in this role earn between $37.60 and $63.80 per hour, depending on experience, location, and employer.

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

To thrive as a Prompt Engineer, you need a strong grasp of natural language processing (NLP), machine learning concepts, and experience crafting effective prompts for large language models, usually supported by a technical degree or relevant experience. Familiarity with tools such as OpenAI's API, Hugging Face, or other AI platforms, as well as knowledge of programming languages like Python, is highly valuable. Creative thinking, analytical problem-solving, and cross-functional communication skills help differentiate top candidates in this field. These abilities are crucial for optimizing AI outcomes and ensuring collaboration with both technical and non-technical teams.

What does a typical day look like for a Prompt Engineer?

A typical day for a Prompt Engineer involves designing, testing, and refining prompts to enhance the performance of AI language models, often collaborating closely with data scientists, software engineers, and product managers. You might analyze the results of model outputs, integrate user or stakeholder feedback, and iterate on prompt strategies to solve diverse business challenges. Your role will usually include documentation, troubleshooting, and keeping up with the latest advances in AI technologies. Expect a mix of independent work and regular team meetings in a dynamic, fast-evolving environment focused on innovation and improvement.

What engineer makes $500,000 a year?

Senior software engineers, especially those working in high-demand fields like AI, machine learning, or at major tech companies, can earn $500,000 or more annually through base salary, bonuses, and stock options. Achieving this level typically requires extensive experience, specialized skills, and often leadership roles or equity compensation.

What is a Prompt Engineer job?

A Prompt Engineer is a professional who designs, refines, and optimizes prompts to improve interactions with AI models, such as ChatGPT. Their role involves understanding model behavior, crafting precise queries, and experimenting with phrasing to achieve desired outputs. They may work in AI research, software development, or content generation to maximize AI efficiency. Strong skills in language, logic, and sometimes coding are essential for success in this role.

Is prompt engineer still a thing?

Prompt engineering is an emerging role focused on designing effective prompts for AI language models. It is increasingly in demand as organizations seek to optimize AI interactions, often requiring skills in natural language processing and familiarity with tools like GPT. The role continues to grow alongside advancements in AI technology.

What exactly is prompt engineer work?

A prompt engineer designs and optimizes prompts used to interact with AI language models, ensuring accurate and relevant outputs. The role requires understanding of AI systems, natural language processing, and often involves testing and refining prompts to improve model performance. Skills in programming, data analysis, and familiarity with AI tools are commonly needed.

Is prompt engineer salary?

Prompt engineers typically earn salaries comparable to other AI and machine learning specialists, with average annual pay ranging from $80,000 to $150,000 depending on experience, location, and industry. Skills in natural language processing, prompt design, and familiarity with AI tools like GPT are highly valued and can influence compensation.
What cities near Lawrence, MA are hiring for Prompt Engineer jobs? Cities near Lawrence, MA with the most Prompt Engineer job openings:
Infographic showing various Prompt Engineer job openings in Lawrence, MA as of July 2026, with employment types broken down into 92% Full Time, 4% Part Time, and 4% Contract. Highlights an 88% Physical, 5% Hybrid, and 7% Remote job distribution, with an average salary of $102,751 per year, or $49.4 per hour.
Applied AI Engineer

Applied AI Engineer

Hasbro

Boston, MA • On-site

Other

Posted 3 days ago


Hasbro rating

7.9

Company rating: 7.9 out of 10

Based on 9 frontline employees who took The Breakroom Quiz


Job description

We're building something new inside our AI Studio, and we're looking for an Applied AI Engineer to help shape it with us. This role sits at the center of a new and constantly evolving set of challenges. The problems are still being defined, and the approaches are actively being invented. What excites us is the opportunity to determine what it truly means for an iconic character to think, respond, and stay true to itself - consistently, safely, and at scale.

We work where storytelling, imagination, and technology converge. Our focus is on the intelligence layer: the systems that determine how characters understand context, form responses, maintain a consistent voice, and hold carefully defined boundaries. This is where canon knowledge meets language model behavior, and where the quality of every character interaction gets defined and measured.

This role owns one of the most creatively and technically interesting areas on the team: making characters that actually feel like themselves. Working closely with engineers, creative partners, and brand leaders, the Applied AI Engineer will define prompt architecture, own guardrails and evaluation frameworks, and build the retrieval systems that ground characters in their own lore. Success here means developing the tools and practices that make character fidelity measurable.

What You'll Do
  • Design, implement, and continuously refine system prompts, character behavior definitions, and guardrails for our AI character platform.
  • Build evaluation frameworks to measure character fidelity, response quality, and safety - establishing quantitative standards for what "in character" actually means across interaction types.
  • Architect and implement RAG systems to ground character responses in canonical knowledge, including embedding strategies, vector retrieval, and relevance evaluation.
  • Partner with creative and brand teams to translate character attributes - personality, voice, canon, tone, and boundaries - into precise, testable AI behavior and system requirements.
  • Lead prompt versioning, regression testing, and model evaluation practices to ensure character behavior remains consistent across provider updates and model changes.
  • Integrate with multi-provider LLM APIs (OpenAI, Google Gemini, etc.) and make principled selection decisions as the landscape evolves.
  • 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
  • 3+ years of experience building and shipping production LLM-powered systems.
  • Deep expertise in prompt engineering - system prompt design, few-shot techniques, chain-of-thought, multi-turn conversation management, and structured output.
  • Experience designing and implementing evaluation frameworks for LLM outputs, including adversarial and security testing.
  • Hands-on experience with RAG architectures: embedding models, vector stores, chunking strategies, and retrieval evaluation.
  • Proficiency with major LLM APIs (OpenAI, Google Gemini, Anthropic, or equivalent) and experience making principled decisions between them.
  • Strong Python skills and comfort working in AWS environments.
  • Familiarity with how voice AI services work (TTS, STT) - enough to understand how spoken delivery shapes prompt and response design.
  • The ability to communicate AI system behavior clearly to creative, brand, and non-technical collaborators.
Extra Credit
  • Familiarity with guardrails frameworks (NVIDIA NeMo Guardrails, Guardrails AI, or equivalent).
  • Conceptual understanding of fine-tuning and RLHF, even if not a primary area of focus.
  • Background in entertainment, gaming, or IP-driven product development.

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