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Full Time Prompt Engineering Jobs in Boston, MA (NOW HIRING)

Philips

AI Solutions Engineer

Cambridge, MA

$107K - $170K/yr

... prompt engineering, and Retrieval-Augmented Generation (RAG). Own solutions throughout their ... Onsite roles require full-time presence in the company's facilities. Field roles are most ...

Cooley

Senior AI/ML Engineer

Boston, MA

$113K - $155K/yr

Implement end to end AI application pipelines including data ingestion, prompt engineering ... The expected annual pay range for this position with a full-time schedule is $145,000 - $210,000.

Cooley LLP

Senior AI/ML Engineer

Boston, MA · On-site

$113K - $155K/yr

Implement end to end AI application pipelines including data ingestion, prompt engineering ... The expected annual pay range for this position with a full-time schedule is $145,000 - $210,000.

Progress

Principal DevOps Engineer

Burlington, MA · Hybrid

$163K - $185K/yr

Applied use prompt engineering to effectively leverage AI across the SDLC Base Salary Range: $163 ... Apply Now! #LI-hybrid Employment Type: Full-Time Regular Employee

Recorded Future

Senior Software Engineer

Boston, MA · On-site

$129K - $193K/yr

... LLMs, prompt engineering, agentic loop design, and retrieval-augmented generation (RAG ... The base salary range for this full-time position is $129,000- $193,500. Our salary ranges are ...

Analogdevices

Senior Engineer, AI/ML Software

Boston, MA · Hybrid

$178K - $216K/yr

Boston, Massachusetts Job Type: Full Time Rate of Pay: $178,131 - $216,000 per year [multiple ... prompt engineering, and performance evaluation. Participate in code reviews, architecture ...

UBEO

ECM Engineering Manager

Boston, MA · On-site

ProIT Operations Director FLSA Status: Full-Time / Exempt Purpose The ECM Engineering Manager is ... Monitor and Prioritization Engineer schedules to ensure prompt time entry on service tickets. * Act ...

3Play Media

Senior Applied Data Scientist

Boston, MA · On-site +1

$150K - $180K/yr

... full time working experience in signal processing, data science, or machine learning roles ... Experience using third-party generative AI systems, including prompt engineering and fine-tuning

3Play Media

Senior Applied Data Scientist

Boston, MA · On-site +1

$150K - $180K/yr

... full time working experience in signal processing, data science, or machine learning roles ... Experience using third-party generative AI systems, including prompt engineering and fine-tuning

aPriori

Content Marketing Lead

Concord, MA · On-site +1

Job Type Full-time Description Location: Hybrid - Greater Boston, MA Job Summary aPriori is looking ... Strong prompt-engineering skills with the ability to produce nuanced, on-brand output from LLMs and ...

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All JobsPrompt Engineering JobsFull Time Prompt Engineering JobsFull Time Prompt Engineering Jobs in Boston, MA

Full Time Prompt Engineering information

See Boston, MA salary details

$50.5K

$159.6K

$189K

How much do full time prompt engineering jobs pay per year?

As of Jul 29, 2026, the average yearly pay for full time prompt engineering in Boston, MA is $159,557.00, according to ZipRecruiter salary data. Most workers in this role earn between $126,600.00 and $187,900.00 per year, depending on experience, location, and employer.

What is the difference between Full Time Prompt Engineering vs Data Scientist?

AspectFull Time Prompt EngineeringData Scientist
Required CredentialsBachelor's in CS, AI, or related; experience with NLP and AI toolsBachelor's/Master's in CS, Statistics, or related; experience with data analysis and modeling
Work EnvironmentTech companies, AI startups, remote or office-basedResearch labs, tech firms, finance, healthcare; often office-based or remote
Industry UsageAI development, NLP projects, chatbot designData analysis, predictive modeling, business insights
Common Search/ComparisonYesYes

Full Time Prompt Engineering focuses on designing and optimizing prompts for AI models, primarily in NLP tasks. Data Scientists analyze data to build models and generate insights. While both roles require technical skills and often overlap in AI projects, Prompt Engineers specialize in prompt design, whereas Data Scientists focus on data analysis and modeling.

What are the key skills and qualifications needed to thrive as a Full Time Prompt Engineer, and why are they important?

To thrive as a Full Time Prompt Engineer, you need a solid background in computer science, natural language processing, and machine learning, often supported by a relevant degree or experience with AI models. Familiarity with tools like Python, large language model APIs (such as OpenAI or Anthropic), and prompt optimization frameworks is typically required. Strong analytical thinking, creativity, and clear written communication are crucial soft skills for designing effective prompts and collaborating with multidisciplinary teams. These skills ensure the development of high-performing AI solutions and the ability to translate user needs into actionable, efficient prompts.

What are some common challenges faced by Full Time Prompt Engineers, and how can they overcome them?

Full Time Prompt Engineers often encounter the challenge of crafting prompts that consistently yield accurate, relevant, and unbiased responses from AI models. Adapting to rapidly evolving AI technologies and understanding nuanced model behaviors can also be demanding. Overcoming these challenges requires staying current with the latest AI developments, collaborating closely with data scientists and developers, and continuously testing and refining prompts based on feedback and performance metrics. Embracing a mindset of experimentation and regular communication within cross-functional teams is key to success in this dynamic field.

What is prompt engineering?

Prompt engineering is the practice of designing, testing, and refining the inputs (prompts) given to artificial intelligence models, such as large language models, to achieve specific and desirable outputs. This role involves understanding how AI models interpret language and using that knowledge to create prompts that guide the model toward accurate, relevant, or creative responses. Prompt engineers often work closely with developers, data scientists, and product teams to optimize AI performance for various applications. As AI models become more advanced, prompt engineering has become an essential skill for leveraging their full potential.
What are the most commonly searched types of Prompt Engineering jobs in Boston, MA? The most popular types of Prompt Engineering jobs in Boston, MA are:
What are popular job titles related to Full Time Prompt Engineering jobs in Boston, MA? For Full Time Prompt Engineering jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Full Time Prompt Engineering jobs in Boston, MA look for? The top searched job categories for Full Time Prompt Engineering jobs in Boston, MA are:
Full Time Prompt Engineering jobs near you
Infographic showing various Full Time Prompt Engineering job openings in Boston, MA as of July 2026, with employment types broken down into 90% Full Time, 6% Part Time, and 4% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $159,557 per year, or $76.7 per hour.

Staff / Principal Engineer

Newfire Global Partners

Boston, MA • On-site, Remote

$163K - $185K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 2 days ago

Job description

Staff / Principal Engineer
Department: Advisory
Employment Type: Full Time
Location: US
Compensation: $163,547 - $185,000 / year
Description
Newfire Global Partners is a leading technology firm that specializes in building transformative software solutions for some of the world's most innovative companies. With a presence across four continents, Newfire Global brings deep expertise in digital healthcare, AI-driven analytics, and enterprise technology. The firm's track record of delivering scalable, high-impact solutions has made it a trusted partner for organizations seeking to drive meaningful change through technology.
We are passionate about the purpose-driven mission to help improve the quality of care for patients and are building a collaborative, innovative, and inclusive culture. We are a fully funded company founded by serial entrepreneurs with a stable client base.
Opportunity for impact
Newfire Global Partners, a leader in developing disruptive healthcare technology, collaborates with Fortune 500 companies and start-ups to drive transformation.
We are seeking an exceptional Staff or Principal Engineer to join our client's engineering leadership team. This is a senior individual contributor role for a technologist who thrives at the intersection of modern software engineering and artificial intelligence. The ideal candidate will bring deep full-stack expertise across C#, React, and Python, paired with a demonstrated ability to lead and champion AI-assisted development practices-spanning LLM integration, MLOps, prompt engineering, and AI-powered product features. Based in the US with a strong preference for East Coast availability, this engineer will set the technical direction for how AI amplifies our engineering teams and shapes our healthcare platform
Role & responsibilities
• Serve as a technical leader and trusted authority on AI-assisted engineering, driving adoption of Copilot, code generation, and LLM-powered tooling across the engineering organization.
• Architect and deliver AI-powered product features that improve healthcare outcomes-spanning intelligent automation, clinical decision support, and member-facing experiences.
• Design and implement LLM workflows and prompt engineering patterns, ensuring reliable, safe, and scalable AI integrations in production environments.
• Lead MLOps initiatives including model deployment pipelines, monitoring, versioning, and lifecycle management in collaboration with data science teams.
• Build and maintain full-stack solutions using C# (.NET), React, and Python, with a strong focus on scalability, security, and maintainability.
• Define and evangelize engineering best practices for AI integration, code quality, and system design across Staff and Senior engineers.
• Collaborate with product, data, and clinical teams to identify high-impact opportunities for AI and machine learning in the healthcare domain.
• Conduct design reviews, architecture discussions, and hands-on code reviews to raise the technical bar across the organization.
• Mentor and grow senior engineers, fostering a culture of experimentation, ownership, and continuous learning.
• Stay at the forefront of rapidly evolving AI/ML tooling, evaluating and recommending emerging technologies relevant to the client
You're a Perfect Match If You Have:
• Deep proficiency in C# and .NET - including API design, microservices architecture, and enterprise-grade backend systems.
• Strong hands-on experience with React and modern front-end development patterns (TypeScript, component architecture, state management).
• Solid Python skills with practical experience in scripting, automation, data pipelines, or ML model integration.
• Proven experience integrating LLMs (e.g., OpenAI, Azure OpenAI, Anthropic) into production applications via APIs, SDKs, or orchestration frameworks such as LangChain or Semantic Kernel.
• Strong understanding of prompt engineering principles, RAG (Retrieval-Augmented Generation) patterns, and LLM evaluation strategies.
• Hands-on experience with MLOps tooling and practices - model versioning, deployment, monitoring, and retraining pipelines.
• Experience with AI-assisted development tools such as GitHub Copilot, Cursor, or equivalent, with the ability to coach teams on effective usage.
• Solid understanding of cloud infrastructure (Azure preferred) and how to architect scalable, secure AI-integrated systems.
• Strong command of software design principles - SOLID, clean architecture, domain-driven design, and API-first development.
• Experience with CI/CD pipelines, infrastructure as code, and DevOps practices in a cloud-native environment.
Optional / Plus
• Experience in healthcare technology, including knowledge of HL7, FHIR, or clinical data standards.
• Familiarity with vector databases (e.g., Pinecone, Weaviate, Azure AI Search) for embedding-based retrieval systems.
• Exposure to fine-tuning or customizing foundation models for domain-specific use cases.
• Knowledge of responsible AI practices, model explainability, and bias mitigation in healthcare contexts.
• Experience with data platforms such as Databricks, Snowflake, or Azure Synapse.
The Offer
Newfire Global is committed to consistent compensation practices across our organization. Total compensation for this role is market driven, with a salary of $163,547 - $185,000. Base pay is ultimately determined based on a candidate's skills, expertise, and experience. We also offer a comprehensive benefits package including medical, dental & vision coverage, health spending accounts, voluntary benefits, leave of absence policies, Employee Assistance Program, 401(k) program with employer contribution, Flexible work schedules and time-off policy, as well as company equipment for all new full-time US-based remote employees.
Offers are contingent upon successful completion of a background screening. Background screenings will be conducted in compliance with applicable laws and will not be initiated without your consent.
Newfire Global is an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law.

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