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Generative Ai Developer Jobs in Massachusetts (NOW HIRING)

Senior AI Engineer

Concord, MA ยท On-site

$114K - $157K/yr

You will design and implement production-grade solutions that leverage both generative AI with LLMs ... Strong programming skills in Python and familiarity with modern data/ML pipelines. * Solid ...

Lead AI Engineer

Springfield, MA ยท On-site

$172K - $225K/yr

You'll architect and deliver generative AI, agentic AI, and LLM-based systems by applying rigorous ... This team is defined by a shared commitment to scientific and engineering excellence, meaningful ...

Senior AI Engineer

Concord, MA ยท On-site

$114K - $157K/yr

You will design and implement production-grade solutions that leverage both generative AI with LLMs ... Strong programming skills in Python and familiarity with modern data/ML pipelines. * Solid ...

Specialist, AI Engineer The Role Entegris is seeking a Junior AI Engineer to join our IT Digital ... generative AI patterns (e.g., retrieval-augmented generation, tool calling, and workflow ...

Define solution architectures that integrate LLMs, generative AI, and traditional ML with ... Azure AI Engineer Associate, AWS ML Specialty, Google Cloud ML Engineer) are a plus * Track record ...

Lead AI Engineer

Boston, MA ยท On-site

$172K - $225K/yr

You'll architect and deliver generative AI, agentic AI, and LLM-based systems by applying rigorous ... This team is defined by a shared commitment to scientific and engineering excellence, meaningful ...

Specialist, AI Engineer The Role Entegris is seeking a Junior AI Engineer to join our IT Digital ... generative AI patterns (e.g., retrieval-augmented generation, tool calling, and workflow ...

GCP AI Engineer - Cambridge, MA

Cambridge, MA ยท On-site

$143.19 - $194.47/hr

HandsOn Agentic & Generative AI Development*** Build, troubleshoot, and optimize agentic AI systems ... DevOps, Cloud Architect).**Work Environment*** Based in Cambridge, MA* Hybrid schedule with 3 days ...

Specialist, AI Engineer The Role Entegris is seeking a Junior AI Engineer to join our IT Digital ... generative AI patterns (e.g., retrieval-augmented generation, tool calling, and workflow ...

AI Engineer

Boston, MA ยท Hybrid

$141K - $185K/yr

AI Engineer | Data Science & AI Engineering Full-Time Hybrid (3 days/per week in office) The ... You'll apply machine learning, generative and agentic AI, and LLM-based techniques to real-world ...

AI Engineer

Springfield, MA ยท Hybrid

$141K - $185K/yr

AI Engineer | Data Science & AI Engineering Full-Time Hybrid (3 days/per week in office) The ... You'll apply machine learning, generative and agentic AI, and LLM-based techniques to real-world ...

Lead AI Engineer

Boston, MA ยท Hybrid

$111K - $146K/yr

You will combine deep AI engineering expertise with product and business understanding to identify ... Why Now, Why Mirakl Generative AI and AI Agents are fundamentally reshaping commerce software. At ...

Senior Applied AI Engineer

Holyoke, MA ยท On-site

$141K - $171K/yr

As a Senior Applied AI Engineer, you will operate at the intersection of power systems engineering ... You will design, develop, and deploy production-grade AI solutions, including generative AI and ...

Showing results 41-60

Generative Ai Developer information

See Massachusetts salary details

$20

$49

$110

How much do generative ai developer jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for generative ai developer in Massachusetts is $49.46, according to ZipRecruiter salary data. Most workers in this role earn between $25.72 and $59.86 per hour, depending on experience, location, and employer.

What are some common challenges faced by generative AI developers when deploying models in production environments?

Generative AI Developers often encounter challenges such as ensuring model reliability, managing computational resource requirements, and addressing ethical considerations like data bias or content safety. Deploying generative models at scale requires robust monitoring to detect unexpected outputs or model drift, and collaboration with data engineers and product teams to optimize performance. Staying up-to-date with evolving frameworks and best practices is essential, as production environments demand both technical rigor and adaptability to new AI advancements.

What are the key skills and qualifications needed to thrive as a generative AI developer?

To thrive as a Generative AI Developer, you need strong programming skills (especially in Python), a deep understanding of machine learning concepts, and an advanced degree in computer science or a related field. Familiarity with frameworks like TensorFlow, PyTorch, and experience with cloud platforms or model deployment tools are typically required. Creative problem-solving, adaptability, and effective collaboration are standout soft skills in this evolving field. These abilities are crucial to design, implement, and refine generative models that solve real-world problems and drive innovation.

What is the difference between Generative Ai Developer vs Machine Learning Engineer?

AspectGenerative Ai DeveloperMachine Learning Engineer
CredentialsBachelor's or higher in CS, AI, or related fields; experience with deep learning frameworksBachelor's or higher in CS, Data Science, or related fields; strong programming skills
Work EnvironmentDevelops AI models for content creation, chatbots, and creative applicationsBuilds and deploys ML models for various data-driven solutions across industries
Industry UsageTech, entertainment, marketing, and creative sectorsFinance, healthcare, tech, and e-commerce sectors

While both roles involve AI and machine learning, Generative Ai Developers focus on creating models that generate content, such as images or text, whereas Machine Learning Engineers develop broader ML solutions for diverse applications. The roles often overlap but differ mainly in their specific focus areas and use cases.

What is a generative AI developer?

A Generative AI Developer is a technology professional who specializes in designing, building, and deploying artificial intelligence systems that can create new content, such as text, images, audio, or code. They work with advanced machine learning models, like generative adversarial networks (GANs) or large language models, to enable computers to produce original outputs. These developers often collaborate with data scientists, researchers, and product teams to integrate AI-generated content into software applications and business solutions.
What are popular job titles related to Generative Ai Developer jobs in Massachusetts? For Generative Ai Developer jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Generative Ai Developer jobs in Massachusetts look for? The top searched job categories for Generative Ai Developer jobs in Massachusetts are:
Infographic showing various Generative Ai Developer job openings in Massachusetts as of August 2026, with employment types broken down into 80% Full Time, 17% Part Time, and 3% Contract. Highlights an 67% Physical, 4% Hybrid, and 29% Remote job distribution, with an average salary of $102,878 per year, or $49.5 per hour.

Senior AI Engineer

aPriori Technologies Inc

Concord, MA โ€ข On-site

$114K - $157K/yr

Full-time

Medical, Dental, Retirement

Re-posted 7 days ago


Job description

Description:

We are looking for a Senior AI Engineer to join our Belfast-based Data & AI Platform Team in building a next-generation data platform which will leverage aPriori’s proprietary data to deliver powerful insights and AI capabilities.


As a Senior AI Engineer, you will play a critical role in shaping and delivering AI-powered features within aPriori’s Data Platform, delivered via APIs and our product surfaces. You will design and implement production-grade solutions that leverage both generative AI with LLMs and traditional AI/ML. Working closely with Product Management and product teams, you will integrate AI capabilities into our products, enabling AI-powered insights, automation, and new user experiences that increase aPriori’s value to our customers.


This role is hands-on and highly collaborative: you will design and implement LLM-driven features, leverage and extend a modern data pipeline, and contribute to building scalable AI infrastructure using cloud-based AI/ML services such as AWS Bedrock/Sagemaker, GCP Vertex AI, TensorFlow, PyTorch.


Location: Belfast, NI (Hybrid) or Remote UK


Responsibilities

  • Design and build production-ready AI/ML systems, with an emphasis on Standard Model LLM-powered product and platform features.
  • Leverage LLM tooling/APIs such as LangChain and MCP connectors to implement retrieval-augmented generation (RAG), copilot-assistants and agentic workflows.
  • Partner with Product Management and product teams to translate requirements into AI-powered capabilities that surface directly in user-facing products.
  • Apply MLOps and LLMOps best practices: monitoring, evaluation, prompt versioning, cost/performance optimization.
  • Combine traditional AI/ML with modern GenAI approaches to deliver hybrid solutions where appropriate.
  • Collaborate with Data Engineers to establish a scalable data pipeline that serves structured data shaped for LLM consumption, feature store data for traditional AI, and Trad/GenAI-enhanced insights for internal and customer-facing BI use cases.
  • Mentor and upskill peers in on core AI/ML and LLMOps practices, raising the overall AI/ML competency of the team.
  • Stay current with developments in GenAI, LLMOps, generative AI safety frameworks, and evaluate their potential for adoption within the platform.
Requirements:
  • Hands-on familiarity with Prompt Engineering by leveraging LLM frameworks such as LangChain.
  • Strong programming skills in Python and familiarity with modern data/ML pipelines.
  • Solid understanding of data engineering practices (ETL/ELT, streaming, orchestration with Airflow/Temporal, dbt, Kafka, etc.).
  • Knowledge of LLMOps/MLOps practices: CI/CD for ML, model monitoring, drift detection, evaluation metrics, governance.
  • Strong collaboration and communication skills: able to partner with Product, Platform, and Data teams to drive AI features from concept to production.
  • Demonstrated ability to mentor and upskill engineers, particularly in data/ML workflows.
  • Skilled in designing/building/deploying /operating LLM standard model-powered features in production (chatbots, copilots, RAG systems, agents)
  • Proficient in working with traditional cloud AI/ML platforms such as Amazon Sagemaker, GCP Vertex AI, or Azure ML and frameworks such as TensorFlow, PyTorch, scikit-learn.

Education and Experience

  • 7+ years of professional software engineering experience, including 3+ years experience in traditional AI/ML and 1+ year experience in building LLM applications on standard models.
  • Bachelor’s or Master’s in Computer Science, AI/ML, Data Science, or related field (or equivalent experience).

aPriori Offers

A team environment where your experience is valued, your voice is heard, and the work that you do makes an impact for our customers and employees.

aPriori offers competitive compensation and unique benefits including pension match, private medical & dental, flexible time off, aPriori days, and more in a dynamic, growing, innovative environment!


About aPriori

Founded in 2003, aPriori is disrupting the industry’s status quo with groundbreaking work helping manufacturers digitally transform their businesses. Through our unique, patented, intellectual property, we enable manufacturers to accelerate product design, and bring products to markets faster while providing visibility to the sustainability of their design and manufacturing choices. Our impact is profound - our customers save millions of dollars each year, accelerate time to market, all while creating a better world for future generations. Though we are an established software firm, through our continued growth, we have maintained the dynamic, collaborative nature of a start-up.

With a global presence, including North America, Europe, Asia, and India, we encourage an inclusive work environment and support employees’ growth through education, training, wellness, and other programs. As our greatest asset, employees’ contributions are acknowledged through monthly company-wide meetings, often with promotions and awards. We promote a positive work culture, employee-friendly policies, flexible work schedules, pub nights, and an additional day off each quarter known as “aPriori Day”.

Interested in joining our team? We continue to build an organisation of highly talented, self-motivated individuals. Our unique environment empowers employees to bring their best selves each day, asking, “How can I do better?” and then exceeding expectations. We work together towards a common goal. We nurture and celebrate each other’s successes. Employees embrace opportunities to build new skills as well as step into leadership positions where they are supported and mentored by the Senior Leadership team to grow into impactful individual contributor roles or to effectively manage teams. Innovation, adaptability, and a desire to increase your value are essential. If you possess these qualities, we want to hear from you!


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