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Genai Developer Jobs in Lowell, MA (NOW HIRING)

DATAECONOMY Inc

GenAI/Agentic AI Engineer

Boston, MA · On-site

$140 - $210/hr

... ML, DevOps and Blockchain to large corporates across the globe. Strategic Partners with AWS ... Around 5+ years of total experience and 2+ years as GenAI/Agentic AI engineer using cloud ...

Recruitment.ai

.Net Developer

Maynard, MA · On-site

$51.25 - $67.50/hr

Leverage AI-driven development tools, including GitHub Copilot in Visual Studio and command-line GenAI tools, to accelerate code generation and improve developer productivity. * Create and maintain ...

Recruitment.ai

.Net Developer

Maynard, MA · On-site

$51.25 - $67.50/hr

Leverage AI-driven development tools, including GitHub Copilot in Visual Studio and command-line GenAI tools, to accelerate code generation and improve developer productivity. * Create and maintain ...

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Genai Developer information

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$16

$52

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How much do genai developer jobs pay per hour?

As of Aug 24, 2026, the average hourly pay for genai developer in Lowell, MA is $52.40, according to ZipRecruiter salary data. Most workers in this role earn between $40.05 and $64.13 per hour, depending on experience, location, and employer.

What is a GenAI developer?

GenAI Developers are professionals who design, build, and optimize applications using generative artificial intelligence technologies. They work with models such as GPT, DALL-E, or Stable Diffusion to create tools for generating text, images, code, and other content. These developers need strong programming skills, a solid understanding of machine learning, and experience working with AI frameworks and APIs. Their responsibilities often include training custom models, integrating AI into products, and ensuring ethical use of generative AI solutions.

What are some common challenges GenAI developers face when integrating generative AI models into existing products?

GenAI Developers often encounter challenges related to model deployment, scalability, and ensuring data privacy when integrating generative AI models into established products. Balancing the computational requirements of large AI models with real-time application demands can be complex, and optimizing inference speed without sacrificing model quality is a key consideration. Additionally, collaborating closely with product managers, data scientists, and DevOps teams is essential to align AI outputs with business goals and maintain robust, ethical AI practices.

What are the key skills and qualifications needed to thrive as a GenAI developer, and why are they important?

To thrive as a GenAI Developer, you need a strong background in machine learning, deep learning frameworks (like TensorFlow or PyTorch), and programming languages such as Python, often supported by a degree in computer science or a related field. Familiarity with cloud platforms (AWS, Azure, GCP), APIs, and prompt engineering, as well as certifications in AI or ML, are typically used in this role. Creativity, problem-solving, and effective communication set outstanding GenAI Developers apart. These skills are crucial for building, optimizing, and deploying powerful generative AI models that address complex business challenges.

What is the difference between Genai Developer vs Machine Learning Engineer?

AspectGenai DeveloperMachine Learning Engineer
Required CredentialsBachelor's in CS, AI, or related; experience with NLP and AI frameworksBachelor's or higher in CS, Data Science, or related; strong programming and ML skills
Work EnvironmentDevelops AI models focused on generative AI, often in AI startups or tech companiesBuilds and deploys ML models across various industries, including tech, finance, healthcare
Employer & Industry UsagePrimarily in AI-focused companies, research labs, and tech firmsWidely used across industries like tech, finance, healthcare, and retail

While both roles involve AI and machine learning, Genai Developers specialize in creating generative AI models like chatbots and content generators, whereas Machine Learning Engineers develop a broader range of ML models for various applications. The roles overlap in skills and tools but differ in focus and industry applications.

How to become a GenAI developer?

To become a GenAI developer, you should gain expertise in machine learning, deep learning, and natural language processing, with a focus on generative models like GPT. Proficiency in programming languages such as Python, experience with frameworks like TensorFlow or PyTorch, and understanding of large language models are essential. Building a portfolio of projects and staying updated with AI research can also enhance your qualifications.

Is a Genai Developer a promising career?

A Genai Developer is a growing role focused on developing and implementing generative AI models, which are increasingly used across industries. The field requires skills in machine learning, programming, and AI frameworks, and offers strong job growth prospects due to expanding AI adoption. Continuous learning and staying updated with new tools are important for success in this career.

What cities near Lowell, MA are hiring for Genai Developer jobs?

Cities near Lowell, MA with the most Genai Developer job openings:

Genai Developer jobs near you
Infographic showing various Genai Developer job openings in Lowell, MA as of August 2026, with employment types broken down into 76% Full Time, 10% Part Time, and 14% Contract. Highlights an 79% Physical, 7% Hybrid, and 14% Remote job distribution, with an average salary of $109,000 per year, or $52.4 per hour.

GenAI/Agentic AI Engineer

DATAECONOMY Inc

Boston, MA • On-site

$140 - $210/hr

Other

Posted 5 days ago

Job description

Boston, United States | Posted on 06/19/2026

DATAECONOMY is one of the fastest-growing Data & Analytics company with global presence. We are well-differentiated and are known for our Thought leadership, out-of-the-box products, cutting-edge solutions, accelerators, innovative use cases, and cost-effective service offerings.

We offer products and solutions in Cloud, Data Engineering, Data Governance, AI/ML, DevOps and Blockchain to large corporates across the globe. Strategic Partners with AWS, Collibra, cloudera, neo4j, DataRobot, Global IDs, tableau, MuleSoft and Talend.

Full-time

Education and experienceQualification
  • Bachelor's degree in computer science, Information Systems, orequivalent education or work experience.
  • Around 5+ years of total experience and 2+ years as GenAI/Agentic AI engineer using cloud technologies.
  • Any AWS and/or Databricks certification will be a plus.
Roles & Responsibilities
  • Should be able to work independently with minimal directions and guide the team.
  • Researching, learning, and applying new tools and techniques rapidly and suggesting new concepts to improve performance.
  • Recognize the current application infrastructure and suggest new concepts to improve performance.
  • Design and build productiongrade and secure GenAI and Agentic AI applications.
  • Produce reusable, efficient, and scalable programs, and also cost-effective strategies.
  • Develop AI pipelines and integrate with the data in Databricks and leverage different AWS services, including S3, EC2, API Gateway, Bedrock and Lambda.
  • Comfortable to work on tight timelines, when required.
Skill Sets Required
  • Good decision-making and problem-solving skills.
  • Strong expertise in Python programming with specialization using various GenAI and Agentic libraries (LangChain, LangGraph, Pydantic, Strands, CrewAi etc.,).
  • Familiarity of Databricks fundamentals/architecture and AWS Bedrock, EC2, Postgress and other key services.
  • Solid and proven experience in building GenAI and AgenticAI applications using LLM.
  • Solid knowledge of GenAI components such as RAG, VectorDatabase, Model selection, Model evaluations, Guardrails etc.
  • Good Understanding of GenAI/Agentic AI model architecture best practices.
  • Hands-on experience in different domains, like database architecture, artificial intelligence, advanced analytics, big data, etc.
Nice to have SkillSets
  • Knowledge of Databricks, Apache Airflow.
  • Knowledge of Machine Learning.
  • Solid knowledge on CI/CD pipelines in AWS technologies.
  • Finance and Compliance domain knowledge.
Requirements
  • Good decision-making and problem-solving skills.
  • Strong expertise in Python programming with specialization using various GenAI and Agentic libraries (LangChain, LangGraph, Pydantic, Strands, CrewAi etc.,).
  • Familiarity of Databricks fundamentals/architecture and AWS Bedrock, EC2, Postgress and other key services.
  • Solid and proven experience in building GenAI and AgenticAI applications using LLM.
  • Solid knowledge of GenAI components such as RAG, VectorDatabase, Model selection, Model evaluations, Guardrails etc.
  • Good Understanding of GenAI/Agentic AI model architecture best practices.
  • Hands-on experience in different domains, like database architecture, artificial intelligence, advanced analytics, big data, etc.
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