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Genai Engineer Jobs in Boston, MA (NOW HIRING)

DATAECONOMY Inc

GenAI/Agentic AI Engineer

Boston, MA · On-site

$140 - $210/hr

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 ...

Manulife

AI Engineer - Hybrid

Boston, MA · Hybrid

AI Engineer Job Posting Description The AI Engineer will join the AI team supporting the Long-Term ... Implement GenAI and LLM-based solutions, including retrieval-augmented generation, prompt ...

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Genai Engineer information

What is a GenAI engineer?

A GenAI Engineer is a professional who specializes in designing, developing, and deploying generative artificial intelligence (AI) models and applications. This role involves working with advanced machine learning techniques, such as large language models and generative adversarial networks, to create systems that can generate text, images, code, or other content. GenAI Engineers collaborate with data scientists, software engineers, and product teams to integrate AI capabilities into products and services, ensuring ethical use and scalability. They also stay updated on the latest developments in AI research to continually improve model performance and effectiveness.

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

To thrive as a GenAI Engineer, you need expertise in machine learning, deep learning, and programming languages such as Python, along with a solid understanding of generative models like GANs and transformers. Familiarity with frameworks such as TensorFlow or PyTorch, and experience with cloud platforms and MLOps tools, are highly valuable; advanced degrees or certifications in AI or data science are often preferred. Strong problem-solving, creativity, and communication skills help GenAI Engineers design innovative solutions and effectively collaborate with multidisciplinary teams. These skills ensure the development of robust, scalable generative AI systems that address complex real-world challenges.

What are some typical challenges a GenAI engineer faces when deploying AI models in production environments?

GenAI Engineers often encounter challenges such as ensuring model scalability, addressing bias in generated outputs, and maintaining performance consistency in real-world applications. Deploying generative AI models requires careful monitoring to prevent unexpected or inappropriate outputs, as well as efficient resource management to handle large-scale computations. Collaborating closely with data engineers, product managers, and ML operations teams is essential to streamline deployment pipelines and quickly resolve issues that arise in live environments.

What is the difference between Genai Engineer vs Data Scientist?

AspectGenai EngineerData Scientist
Required CredentialsDegree in Computer Science, AI, or related fields; experience with AI/ML frameworksDegree in Data Science, Statistics, or related fields; strong programming skills
Work EnvironmentDevelops AI models, fine-tunes generative AI systems, collaborates with AI teamsAnalyzes data, builds predictive models, interprets complex datasets
Employer & Industry UsageTech companies, AI startups, research labs focusing on generative AIFinance, healthcare, marketing, and tech firms analyzing data for insights

While both roles require strong technical skills and a background in data or AI, Genai Engineers focus on developing and deploying generative AI models, whereas Data Scientists analyze data to extract insights and build predictive models. The roles often overlap but serve different primary functions within AI and data-driven organizations.

What are popular job titles related to Genai Engineer jobs in Boston, MA?

For Genai Engineer jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Genai Engineer jobs in Boston, MA look for?

The top searched job categories for Genai Engineer jobs in Boston, MA are:

What cities near Boston, MA are hiring for Genai Engineer jobs?

Cities near Boston, MA with the most Genai Engineer job openings:

Genai Engineer jobs near you
Infographic showing various Genai Engineer job openings in Boston, MA as of August 2026, with employment types broken down into 90% Full Time, 5% Part Time, and 5% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution.

GenAI/Agentic AI Engineer

DATAECONOMY Inc

Boston, MA • On-site

$140 - $210/hr

Other

Posted 16 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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