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Gen Ai Developer Jobs in Boston, MA (NOW HIRING)

Xometry

Principal Data Scientist - Gen AI

Waltham, MA · Hybrid

Collaborate with cross-functional teams, including engineering and business teams, to align generative AI solutions with business needs and drive impactful applications * Siemens Partnership ...

Xometry

Principal Data Scientist - Gen AI

Waltham, MA · On-site

Collaborate with cross-functional teams, including engineering and business teams, to align generative AI solutions with business needs and drive impactful applications * Siemens Partnership ...

Roku

Engineering Manager, Ad Serving

Boston, MA

$360K - $440K/yr

Lead initiatives to significantly improve developer productivity by streamlining development ... You have either 1) tried Gen AI in your previous work or outside of work or 2) are curious about ...

Roku

Senior Software Engineer, Ad Serving

Boston, MA · On-site

$195K - $352K/yr

The mission of the Ad Engineering Team is to build this platform. We are hiring a Senior Software ... You have either 1) tried Gen AI in your previous work or outside of work or 2) are curious about ...

Roku

Senior Software Engineer, Ad Serving

Boston, MA · On-site

$195K - $352K/yr

The mission of the Ad Engineering Team is to build this platform. We are hiring a Senior Software ... You have either 1) tried Gen AI in your previous work or outside of work or 2) are curious about ...

Roku

Engineering Manager, Ad Serving

Boston, MA · On-site

$360K - $440K/yr

Lead initiatives to significantly improve developer productivity by streamlining development ... You have either 1) tried Gen AI in your previous work or outside of work or 2) are curious about ...

IBM

Forward Deploy Engineer

Boston, MA · On-site

$200 - $250/hr

Deep expertise in Gen AI and Agentic AI capabilities, as well as experience with advanced Context Engineering, Spec Engineering, and Prompt Engineering. * Technical Integration Skills: Experience ...

DeleteMe

Devops Team Lead

Boston, MA · On-site

$125K - $145K/yr

... engineering, phishing ... Gen-AI deepfake, doxxing campaigns, physical threats, and identity fraud. Operating as a fast-paced ...

DeleteMe

Devops Team Lead

Boston, MA · Remote

$125K - $145K/yr

... engineering, phishing ... Gen-AI deepfake, doxxing campaigns, physical threats, and identity fraud. Operating as a fast-paced ...

Vrtx

Principal Analyst, G&A Technology

Boston, MA · Hybrid

$142K - $214K/yr

Familiarity with Gen AI tools and prompt engineering is a plus to support evolving business needs and productivity opportunities. Key Duties and Responsibilities: * * Lead end-to-end delivery of ...

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All JobsGen Ai Developer JobsGen Ai Developer Jobs in Boston, MA

Gen Ai Developer information

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How much do gen ai developer jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for gen ai developer in Boston, MA is $49.20, according to ZipRecruiter salary data. Most workers in this role earn between $25.58 and $59.52 per hour, depending on experience, location, and employer.

What is a Gen AI developer?

A Gen AI Developer is a professional who designs, builds, and deploys applications using generative artificial intelligence models, such as large language models (LLMs) or image generators. They work with AI frameworks and APIs to create solutions that can generate text, images, code, or other content based on user input. Gen AI Developers often need skills in programming, machine learning, and prompt engineering, and they play a key role in building innovative AI-powered applications across various industries.

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

To thrive as a Gen AI Developer, you need a strong background in computer science, machine learning, and deep learning frameworks, often supported by a degree in a related field. Proficiency with tools such as Python, TensorFlow or PyTorch, and experience with cloud platforms like AWS or Azure, as well as relevant certifications, are commonly required. Critical thinking, creativity, and effective communication are essential soft skills for solving complex problems and collaborating with cross-functional teams. These competencies are vital for developing innovative AI solutions that drive business value and maintain technological competitiveness.

What are some common challenges Gen AI developers face when deploying models into production environments?

Gen AI Developers often encounter challenges such as ensuring model scalability, maintaining data privacy, and managing high computational requirements when deploying generative AI models. Integrating models with existing systems and monitoring for model drift or bias are also critical concerns. Close collaboration with DevOps, data engineering, and security teams is essential to build robust deployment pipelines and maintain reliable performance in real-world applications.

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

AspectGen Ai DeveloperMachine Learning Engineer
Required CredentialsBachelor's or higher in CS, AI, or related fields; experience with AI frameworksBachelor's or higher in CS, Data Science, or related fields; strong programming skills
Work EnvironmentTech companies, AI startups, research labs focusing on generative AITech firms, data-driven companies, research institutions working on ML models
Employer & Industry UsagePrimarily in AI development, focusing on generative models and AI applicationsBroader industry use, including predictive modeling, data analysis, and automation

While both roles involve AI and machine learning skills, Gen AI Developers specialize in creating generative AI models like chatbots and content generators, whereas Machine Learning Engineers develop a wide range of ML algorithms for various applications. The roles often overlap but differ in focus and project types.

How can I become a Gen AI developer?

To become a Gen AI developer, you should gain strong programming skills in languages like Python, learn machine learning frameworks such as TensorFlow or PyTorch, and develop expertise in natural language processing and large language models. Building a portfolio of AI projects and obtaining relevant certifications can also enhance your qualifications for this role.

Is a Gen AI Developer a promising career?

A Gen AI Developer is a growing role focused on creating and improving generative artificial intelligence systems, often requiring skills in machine learning, deep learning, and programming languages like Python. The demand for such developers is increasing as AI applications expand across industries, making it a promising career with strong job growth prospects.

What are popular job titles related to Gen Ai Developer jobs in Boston, MA?

For Gen Ai Developer jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Gen Ai Developer jobs in Boston, MA look for?

The top searched job categories for Gen Ai Developer jobs in Boston, MA are:

What cities near Boston, MA are hiring for Gen Ai Developer jobs?

Cities near Boston, MA with the most Gen Ai Developer job openings:

Gen Ai Developer jobs near you
Infographic showing various Gen Ai Developer job openings in Boston, MA as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 69% Physical, 4% Hybrid, and 27% Remote job distribution, with an average salary of $102,326 per year, or $49.2 per hour.

Senior Data Scientist / ML Engineer (Gen AI)

Photon

Boston, MA • On-site

Other

Posted 25 days ago

Job description

Senior Data Scientist / ML Engineer (Generative AI)

Primary Objective

We are seeking a Senior Data Scientist / ML Engineer specializing in Generative AI to design, evaluate, optimize, and productionize AI/ML solutions for enterprise applications including RAG systems, AI agents, intelligent automation, and model evaluation platforms.

The role focuses on improving AI accuracy and retrieval quality, reducing hallucinations, benchmarking LLMs, and building reliable solutions for enterprise-scale deployments.

Success looks like:measurable gains in retrieval/answer quality, robust evaluation frameworks in production, and clear collaboration with AI engineering to ship governed, reliable GenAI systems.

Key Responsibilities

Primary

  • Design and develop machine learning and Generative AI solutions.
  • Build and optimize RAG pipelines, retrieval strategies, embeddings, and semantic search.
  • Evaluate and benchmark LLMs for accuracy, performance, and reliability.
  • Develop AI evaluation frameworks for hallucination detection, accuracy measurement, bias/toxicity detection, and ground-truth validation.
  • Optimize prompts, models, and retrieval workflows.
  • Collaborate with AI engineering teams to deploy models into production.

Also expected

  • Create training, validation, and testing datasets.
  • Perform model benchmarking, A/B testing, and performance analysis.
  • Fine-tune foundation models when required.
  • Implement model monitoring, observability, and ongoing evaluation processes.

Must-Have Experience & Skills

  • 5 10 years of experience in data science, machine learning, or related applied ML roles.
  • Strong Python programming skills, with Pandas, NumPy, and Scikit-learn.
  • Strong foundation in supervised/unsupervised learning, statistical modeling, feature engineering, and model evaluation techniques.
  • Hands-on Generative AI experience with LLM evaluation, prompt engineering, RAG architectures, embedding models, fine-tuning approaches, and agent evaluation frameworks.
  • Experience with PyTorch and/or TensorFlow.
  • Exposure to OpenAI models, Claude, Gemini, and/or open-source LLMs.
  • Experience with vector databases, semantic search, and retrieval optimization.
  • Experience delivering or supporting production AI/ML solutions in enterprise environments.
  • Experience working with distributed onshore/offshore teams.

Preferred Skills

  • Databricks, MLflow, and Spark.
  • GraphRAG and Knowledge Graphs; exposure to Neo4j.
  • Responsible AI, Explainable AI, and AI governance.
  • Banking or Financial Services domain experience.
  • Familiarity with Azure AI Foundry, AWS Bedrock, Kubernetes, and AI observability platforms.

Soft Skills

  • Clear communication with engineering and business stakeholders.
  • Ability to translate evaluation results into actionable model/product decisions.
  • Comfortable owning quality metrics and trade-offs (accuracy, latency, cost, risk) in a delivery setting.

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