2

Remote Retrieval Augmented Generation Jobs in Delaware

Senior AI Engineer

Wilmington, DE · On-site +1

$101K - $139K/yr

This is a remote role and will report directly to the Head of Data Science & AI. The role ... advanced Retrieval-Augmented Generation (RAG) techniques, and a variety of search architectures.

Remote Retrieval Augmented Generation information

What are the key skills and qualifications needed to thrive as a Remote Retrieval Augmented Generation Engineer, and why are they important?

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 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 some 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 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.
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Senior AI Engineer

Senior AI Engineer

The Chemours Company

Wilmington, DE • On-site, Remote

$101K - $139K/yr

Full-time

Retirement

Posted 22 days ago


Chemours rating

7.3

Company rating: 7.3 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

62nd of 92 rated chemical manufacturers


Job description

As we create a colorful, capable and cleaner world through chemistry, we invite you tojoin our team to harness the power of chemistry to shape markets, redefine industries and improve lives for billions of people around the world.

CREATING ESSENTIAL CHEMISTRY THAT THE WORLD NEEDS

At Chemours, our people are redefining how the world thinks of chemistry by approaching everything we do with a commitment to delivering Trusted Chemistry that creates better lives and helps communities thrive. That begins with how we use our science, data, and unmatched technical expertise to develop market-leading products with the highest levels of performance, sustainability, and safety in the industry.

Powered by chemistry, our products are used in applications that make the products we rely on, processes, and new technologies possible. In key sectors such as clean energy, advanced electronics, high-performance computing and AI, climate friendly cooling, and high-quality paints and coatings for homes and industrial infrastructure---sustainable solutions and more modern living depend on Chemours chemistry.

Chemours is seeking a Senior AI Engineer to join our growing AI & Data Science team. This is a remote role and will report directly to the Head of Data Science & AI.

The role willidentify,solution, build, and launch GenAI products & traditional apps in all areas of the company, including Manufacturing, Legal, Finance, R&D, Supply Chain, and Sales.

You'lljoin a highly collaborative team that values speed and quality of execution, putting a high volume of high-impact ML models/GenAI agents into production. As a Senior AI Engineer, your experience as a mentor and your ability to developing clean, scalable code efficiently will be valuable as our team grows.

Successful candidates will be able to thrive in afast paced, ambiguous environment with a continuous learning mindset. Role will also require heavy stakeholder/end-user engagement throughout the scoping & build process.

Must be able toworkUS eastern time zone working hours, typically 7:30am - 5pm.

The responsibilities of the position include, but are not limited to, the following:

  • Identify, design, and integrate Generative AI solutions into existing business workflows to deliver measurable value

  • Design, architect, implement, andproductionizetraditional software applications and GenAI agents.

  • Partner with users and stakeholders to scope the use case, gather requirements,establishsuccess criteria, and deliver an intuitive, high-quality UX.

  • Lead high-impact initiatives across multiple business functions, including Manufacturing, Legal, Finance, R&D, Supply Chain, Procurement, and Sales.

  • Mentor & help accelerate the work of junior developers; foster collaboration and teamwork and pair-programming culture.

  • Collaborate with related teams (ie. Cybersecurity, Infrastructure, Data Engineering, Office 365) to go thru approvals, architecture, security & governance reviews.

  • When assigned to an opportunity, you will lead end-to-end delivery.

  • You will serve as product owner to define andmaintaina phased roadmap, incorporating continuous user feedback, backlog prioritization, and release planning into your recommendations.

  • Lead software development from design through deployment.

  • Communicate progress to non-technical but key stakeholders on a proactive & regular basis.

  • For existing codebases, address technical debt and build scalable, reusable architectures that are well documented and conform to security and compliance standards.

  • Manage the full lifecycle of deployed applications, including debugging, enhancements, upgrades, and continuous improvement driven by user feedback and evolving technology.

The following is required for this role:

  • Degree in Computer Science or Computer Engineering

  • 8+ years advanced backend development with Python ANDJavascript

  • 2+ years designing, coding (in Python), and deploying custom and complex GenAI solutions and multi-agent GenAI systems in production. We need to see evidence beyond building simple recommender systems or chatbots.

  • Minimum 2 years UI & frontend development with React.js, Typescript, and HTML

  • Strong hands-on experience designing and building GenAI architectures and multi-agent systems, including embeddings, advanced Retrieval-Augmented Generation (RAG) techniques, and a variety of search architectures. Candidates should be able to clearly articulate solutions they have built using hybrid search, agentic search, vector search, and full-text search architectures.

  • Demonstrated experience developing, deploying, and evaluating GenAI solutions, with a strong understanding of evaluation frameworks (evals) and a proven ability to optimize the cost-to-performance ratio of production AI applications.

  • Strong proficiency with Pydantic models, including knowing when and how to leverage them to design robust, scalable, and maintainable GenAI architectures and workflows.

  • Excellent English communication skills,in particular withnon-technical users; proven ability to translate user needs into technical specs and regularly communicate progress to a wide range of technical & non-technical stakeholders.

The following is preferred for this role:

  • Experience withPyTorchand iterating on model performance using task-specific data and empirical evaluation.

  • Strong experience building and operating CI/CD pipelines for AI and software systems in Azure-based environments, including automated testing, deployment, and secure, reproducible releases.

  • Demonstrated enthusiasm for keeping current with advances in AI and machine learning, with the ability to translate new research, models, and techniques into practical, production-ready solutions (we'dlove to see yourGithubportfolio!)

  • Experience integrating machine learning models into custom applications

  • Azure Kubernetes experience

  • Experience designing, creating, and applying knowledge graphs to strengthen custom GenAI solutions.

Benefits:

Competitive Compensation

Comprehensive Benefits Packages

401(k) Match

Employee Stock Purchase Program

Tuition Reimbursement

Commuter Benefits

Learning and Development Opportunities

Strong Inclusion and Diversity Initiatives

Company-paid Volunteer Day

We're a different kind of chemistry company because we see our people as our biggest assets. Instead of focusing just on what our employees do each day, we look at how they do it-by taking a different approach to talent development, employee engagement, and culture. Our goal is to empower employees to be their best selves, at Chemours and in life.

Learn more about Chemours and our culture by visiting Chemours.com/careers.

Chemours is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, race, religion, color, gender, disability, national or ethnic origin, ancestry, marital status, family status, sexual orientation, gender identity or expression, or veteran status. Jurisdictions may have additional grounds for non-discrimination, and we comply with all applicable laws.

Chemours is an E-Verify employer

Candidates must be able to perform all duties listed with or without accommodation

Immigration sponsorship (i.e., H1-B visa, F-1 visa (OPT), TN visa or any other non-immigrant status) is not currently available for this position

Don't meet every single requirement? At Chemours we are dedicated to building a diverse, inclusive, and authentic workplace for our employees. So if you're excited about this role, but your past experience doesn't align perfectly with every qualification in the position description, we encourage you to apply anyways. You may just be the right candidate for this or other opportunities.

In our pursuit to be the greatest place to work, we know that a critical element to enhancing our employee experience is to assure we're operating with a solid foundation of trust. At Chemours, this means being transparent about how we pay our employees for the work that they do.

Pay Range (in local currency):

$126,067.00 - $196,980.00

Chemours Level:

27

Annual Bonus Target:

14%

The pay range and incentives listed above is a general guideline based on the primary location of this job only andnot a guarantee oftotal compensation. Factorsconsidered in extending a compensation offer include (but are notlimitedto) responsibilities of the job,experience, knowledge, skills,and abilities, as wellas internal equity, andalignment with marketdata. The incentive pay is dependent on business results and individual performance and subject to the terms and conditions of the specific plans.

At Chemours, you will find sustainability in our vision, our business and your future. If you want to work on the leading edge of your field and have a desire to make a difference, join Chemours and discover what it means when we say "We Are Living Chemistry."


What Chemours employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Chemours logo

About Chemours

Sourced by ZipRecruiter

From the frontline to the back office, every Chemours employee is part of something bigger than themselves as together we work to create a better world through the power of our chemistry. Chemours is a $6.3 billion company with a portfolio of products and processes that enable technologies and products that people use every day in their lives. From cellular phones to lower emission vehicles, to 5G communications and clean energy from hydrogen, we're collaborating with customers to make these innovations more capable. Simply said, we use our chemistry to change lives, shape markets, and redefine industries-one improvement at a time.

Industry

Chemical manufacturing

Company size

5,001 - 10,000 Employees

Headquarters location

Wilmington, DE, US

Year founded

2015

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