Applied AI Engineer Boston, Massachusetts, United States

Hasbro, Inc.; Boston (MA); On-site; USD 109,200 - 163,800; Full time

Benefits offered by this job

Time Off to Recharge

Financial Well-being

Life & Family Support

Volunteer and Community Initiatives

Learning & Development

Job summary

Hasbro, Inc. is seeking an Applied AI Engineer to join their new AI Studio in Boston. In this role, you will design and implement systems that enhance character interactions, ensuring they resonate with their lore and personality while utilizing LLM technologies.

Your expertise in prompt engineering, evaluation frameworks, and multi-provider LLM APIs will drive character behavior consistency and innovation. Hasbro offers a competitive salary and benefits as part of their commitment to work-life balance and employee growth.

Qualifications

• 3+ years of experience building and shipping production LLM-powered systems.
• Deep expertise in prompt engineering and system prompt design.
• Proficiency with major LLM APIs and RAG architectures.

Responsibilities

• Design and implement system prompts and character behavior definitions.
• Build evaluation frameworks for character fidelity and response quality.
• Architect systems to ground character responses in canonical knowledge.

Skills

Prompt engineering

Python

LLM APIs (OpenAI, Google Gemini)

RAG architectures

Job description

Wetake play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime.

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.
• 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.

The pay transparency range for this role is listed below. The hiring range will vary based on factors such as experience, skills, location and market conditions. Additionally, employees may be eligible for annual and long‑term incentives as part of their overall compensation package.

Pay Range

$109,200 – $163,800 USD

Benefits and programs may include:

• Time Off to Recharge
• Financial Well‑being
• Life & Family Support
• Volunteer and Community Initiatives
• Learning & Development

As set forth in Hasbro’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.