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Remote Retrieval Augmented Generation Jobs in Massachusetts

UKG, Inc.

Lead Software Development Engineer

Lowell, MA · On-site +1

Experience with retrieval-augmented generation, vector search, AI evaluation, or multi-agent systems. * Experience modernizing manual testing processes and replacing tool-specific automation with ...

New

Ataccama

... a modern, AI-augmented growth team operates. This role offers full remote flexibility for ... Plan and execute end-to-end demand generation campaigns across digital and offline channels ...

Ataccama

Sr. Manager, Growth Campaigns

Boston, MA · Remote

... a modern, AI-augmented growth team operates. This role offers full remote flexibility for ... Plan and execute end-to-end demand generation campaigns across digital and offline channels ...

Care Access

Senior Engineer, Test Automation

Boston, MA · Remote

$130K - $180K/yr

Evaluate and apply AI-assisted testing techniques, such as LLM-based test generation and ... Remote within the United States. This role requires 100% of work to be performed in a remote office ...

Motional

Machine Learning Engineer, Data Mining

Boston, MA · On-site +1

$144K - $192K/yr

Our next-generation autonomous driving stack depends on finding the rare edge cases, long-tail ... and data retrieval. By building smarter mining tools and efficient data pipelines, you will ...

Motional

Machine Learning Engineer, Data Mining

Boston, MA · On-site +1

$144K - $192K/yr

Our next-generation autonomous driving stack depends on finding the rare edge cases, long-tail ... and data retrieval. By building smarter mining tools and efficient data pipelines, you will ...

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Remote Retrieval Augmented Generation information

What is remote retrieval augmented generation?

Remote Retrieval Augmented Generation (RAG) is an advanced AI technique that combines large language models with external information sources. In a remote RAG setup, the model retrieves relevant data from remote databases or APIs during the generation process, enhancing its responses with up-to-date or domain-specific knowledge. This approach is widely used in applications that require accurate, context-aware answers, such as chatbots, search engines, and virtual assistants. By leveraging remote retrieval, RAG systems can access a broader range of information without needing to store all data locally.

What skills and qualifications are needed to thrive as a remote retrieval augmented generation engineer?

To thrive as a Remote Retrieval Augmented Generation (RAG) Engineer, you need a strong background in machine learning, natural language processing, and information retrieval, often backed by a degree in computer science or a related field. Familiarity with tools and frameworks like PyTorch, TensorFlow, Hugging Face Transformers, and experience with retrieval systems such as Elasticsearch or FAISS are typically required. Problem-solving, effective communication, and adaptability are important soft skills for collaborating remotely and iterating on rapidly evolving AI solutions. These skills ensure the engineer can design, deploy, and optimize robust RAG systems that effectively combine retrieval and generation for high-quality AI outputs.

What are common challenges faced by professionals working in remote retrieval augmented generation roles, and how can they be addressed?

Professionals in Remote Retrieval Augmented Generation (RAG) roles often encounter challenges related to integrating diverse data sources, ensuring low latency in information retrieval, and maintaining the quality and relevance of augmented outputs. Coordinating effectively with distributed teams and adapting to rapidly evolving AI technologies are also common hurdles. To address these, staying current with best practices in data engineering, leveraging robust APIs, and participating in regular team check-ins can help ensure smooth collaboration and system performance.

What is the difference between Remote Retrieval Augmented Generation vs Remote Data Scientist?

AspectRemote Retrieval Augmented GenerationRemote Data Scientist
CredentialsAI/ML knowledge, programming skillsStatistics, programming, domain expertise
Work EnvironmentAI development, NLP projectsData analysis, model building
Industry UsageAI, NLP, machine learningTech, finance, healthcare
Search & ComparisonOften compared for AI roles involving language modelsCompared for data analysis roles

Remote Retrieval Augmented Generation focuses on developing AI models that combine retrieval techniques with language generation, requiring expertise in AI, NLP, and programming. Remote Data Scientists analyze data, build models, and interpret results, often with statistical and domain knowledge. While both roles may work remotely and involve data handling, Retrieval Augmented Generation emphasizes AI model development, whereas Data Scientists focus on data analysis and insights.

What are the most commonly searched types of Retrieval Augmented Generation jobs in Massachusetts?

The most popular types of Retrieval Augmented Generation jobs in Massachusetts are:

What are popular job titles related to Remote Retrieval Augmented Generation jobs in Massachusetts?

For Remote Retrieval Augmented Generation jobs in Massachusetts, the most frequently searched job titles are:

What job categories do people searching Remote Retrieval Augmented Generation jobs in Massachusetts look for?

The top searched job categories for Remote Retrieval Augmented Generation jobs in Massachusetts are:

What cities in Massachusetts are hiring for Remote Retrieval Augmented Generation jobs?

Cities in Massachusetts with the most Remote Retrieval Augmented Generation job openings:

Remote Retrieval Augmented Generation jobs near you

Lead Software Development Engineer

UKG, Inc.

Lowell, MA • On-site, Remote

Full-time

Posted 3 days ago

New

UKG rating

7.8

Company rating: 7.8 out of 10

Based on 42 frontline employees who took The Breakroom Quiz

138th of 245 rated software companies

Job description

Why UKG:
At UKG, the work you do matters. The code you ship, the decisions you make, and the care you show a customer all add up to real impact. Today, tens of millions of workers start and end their days with our workforce operating platform. Helping people get paid, grow in their careers, and shape the future of their industries. That's what we do.
We never stop learning. We never stop challenging the norm. We push for better, and we celebrate the wins along the way. Here, you'll get flexibility that's real, benefits you can count on, and a team that succeeds together. Because at UKG, your work matters-and so do you.
About the Team:
UKG is seeking a highly skilled and influential Lead Software Development Engineer to join our Shared Services team within Employee Solutions & Experience (ESE). This role is focused on advancing Quality Engineering through scalable test automation, strong software engineering practices, AI-enabled capabilities, and shared platforms that enable product teams to deliver high-quality software at speed.
About the Role:
As a technical lead, you will design and implement modern automation solutions, establish engineering and DevOps best practices, and partner closely with development teams across ESE to improve quality, test coverage, delivery efficiency, and release confidence. You will play a key role in driving quality transformation through reusable automation frameworks, continuous testing, observability, AI-assisted development, and agentic approaches to software validation.
The ideal candidate combines deep technical expertise with a passion for mentoring others, improving engineering processes, and building reusable solutions that benefit multiple teams across UKG. They will bring the mindset of a software engineer and platform builder, with practical experience applying modern development tools, Claude Code, Model Context Protocol, and AI agents to improve engineering productivity and quality outcomes.
Responsibilities:
  • Design and build scalable, maintainable automation frameworks, shared services, libraries, developer tools, and reusable engineering patterns.
  • Develop capabilities for browser, API, integration, contract, performance, accessibility, and end-to-end testing.
  • Define automation standards covering architecture, code quality, testability, reliability, and maintainability.
  • Integrate quality checks, release validations, and quality gates into CI/CD pipelines while improving execution speed, parallelization, stability, diagnostics, and feedback time.
  • Build observability into automation platforms through logs, metrics, traces, dashboards, and alerts, and correlate test results with build, deployment, application, and production telemetry.
  • Partner with development, DevOps, SRE, security, architecture, and release teams to improve delivery quality and reduce duplicated frameworks.
  • Mentor engineers and manual testers in software development, automation, DevOps, and AI-assisted engineering.

Basic Qualifications:
  • 8+ years of experience in software engineering, quality engineering, DevOps, SRE, platform engineering, test architecture, or a related discipline, including strong technical leadership, communication, and mentoring skills.
  • Strong programming proficiency in TypeScript, JavaScript, Python, Java, C#, or a comparable language, with experience designing maintainable automation frameworks or internal engineering platforms.
  • Hands-on experience with Playwright, Selenium WebDriver, or similar browser automation technologies, along with API, integration, contract, and end-to-end testing.
  • Experience with CI/CD platforms such as Azure DevOps, GitHub Actions, or Jenkins, and practical knowledge of Git, pull requests, code reviews, build systems, and deployment workflows.
  • Experience with Docker, Kubernetes, cloud services, modern application architectures, and observability practices, including logging, metrics, tracing, dashboards, and failure diagnostics.
  • Hands-on experience using Claude Code, Codex, or comparable AI coding assistants for substantive engineering work, with practical knowledge of MCP, tool calling, and agentic application development.
  • Ability to evaluate, govern, and safely manage AI-generated code and autonomous workflows.

Preferred Qualifications
  • Experience building shared engineering platforms, developer-productivity tools, or reusable automation solutions.
  • Experience with observability technologies such as OpenTelemetry, Azure Monitor, Application Insights, Datadog, Grafana, or Splunk.
  • Knowledge of performance, security, accessibility, resiliency, and production-validation practices.
  • Experience with retrieval-augmented generation, vector search, AI evaluation, or multi-agent systems.
  • Experience modernizing manual testing processes and replacing tool-specific automation with scalable, reusable engineering solutions.

What Success Looks Like
• Product teams adopt common engineering capabilities instead of creating separate automation frameworks.
• CI/CD feedback becomes faster, more reliable, and more actionable.
• Test flakiness, duplicated effort, and automation maintenance costs are reduced.
• AI-assisted development produces measurable improvements in engineering productivity and defect detection.
• Agentic solutions operate with appropriate security, evaluation, governance, and human oversight.
• Manual testers develop stronger programming, automation, DevOps, and AI-engineering skills.
The strongest candidate will think like a software engineer and platform builder who specializes in quality. They should be able to demonstrate systems they have designed and built-not only tools they have used.
Company Overview:
UKG is the Workforce Operating Platform that puts workforce understanding to work. With the world's largest collection of workforce insights, and people-first AI, our ability to reveal unseen ways to build trust, amplify productivity, and empower talent, is unmatched. It's this expertise that equips our customers with the intelligence to solve any challenge in any industry - because great organizations know their workforce is their competitive edge. Learn more at ukg.com.
Equal Opportunity Employer
UKG is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, disability, religion, sex, age, national origin, veteran status, genetic information, and other legally protected categories.
View The EEO Know Your Rights poster
UKG participates in E-Verify. View the E-Verify posters here.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Disability Accommodation in the Application and Interview Process
For individuals with disabilities that need additional assistance at any point in the application and interview process, please email UKGCareers@ukg.com.
The pay range for this position is $129,500 to $186,100. The actual base pay offered may vary depending on skills, experience, job-related knowledge and work location. In addition to base pay, employees may be eligible to participate in a performance-based bonus plan and to receive restricted stock unit awards as part of total compensation. Learn more about UKG's benefits and rewards at https://www.ukg.com/about-us/careers/benefits

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