Develop Retrieval-Augmented Generation (RAG) solutions and AI agents that enable continuous monitoring of competitor activity, customer trends, market signals, and regulatory developments. * Build ...
Develop Retrieval-Augmented Generation (RAG) solutions and AI agents that enable continuous monitoring of competitor activity, customer trends, market signals, and regulatory developments. * Build ...
Gen AI Engineer
Wilmington, DE · Hybrid
... Retrieval Augmented Generation (RAG), NLP/LLM model development and ensure the end-to-end solution meets all technical and business requirements, and SLA specifications. * Work closely with the MLOps ...
Gen AI Engineer
Wilmington, DE · Hybrid
... Retrieval Augmented Generation (RAG), NLP/LLM model development and ensure the end-to-end solution meets all technical and business requirements, and SLA specifications. * Work closely with the MLOps ...
Gen AI Engineer
Wilmington, DE · Hybrid
... Retrieval Augmented Generation (RAG), NLP/LLM model development and ensure the end-to-end solution meets all technical and business requirements, and SLA specifications. * Work closely with the MLOps ...
Gen AI Engineer
Wilmington, DE · Hybrid
... Retrieval Augmented Generation (RAG), NLP/LLM model development and ensure the end-to-end solution meets all technical and business requirements, and SLA specifications. * Work closely with the MLOps ...
Exposure to modern AI concepts, including Generative AI, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) systems, with an appreciation for associated governance and risk ...
Exposure to modern AI concepts, including Generative AI, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) systems, with an appreciation for associated governance and risk ...
Expertise in designing and implementing pipelines using Retrieval-Augmented Generation (RAG). * Hands-on knowledge of Chain-of-Thoughts, Tree-of-Thoughts, Graph-of-Thoughts prompting strategies.
Expertise in designing and implementing pipelines using Retrieval-Augmented Generation (RAG). * Hands-on knowledge of Chain-of-Thoughts, Tree-of-Thoughts, Graph-of-Thoughts prompting strategies.
Expertise in designing and implementing pipelines using Retrieval-Augmented Generation (RAG). * Hands-on knowledge of Chain-of-Thoughts, Tree-of-Thoughts, Graph-of-Thoughts prompting strategies.
Expertise in designing and implementing pipelines using Retrieval-Augmented Generation (RAG). * Hands-on knowledge of Chain-of-Thoughts, Tree-of-Thoughts, Graph-of-Thoughts prompting strategies.
Expertise in designing and implementing pipelines using Retrieval-Augmented Generation (RAG). * Hands-on knowledge of Chain-of-Thoughts, Tree-of-Thoughts, Graph-of-Thoughts prompting strategies.
Expertise in designing and implementing pipelines using Retrieval-Augmented Generation (RAG). * Hands-on knowledge of Chain-of-Thoughts, Tree-of-Thoughts, Graph-of-Thoughts prompting strategies.
Expertise in designing and implementing pipelines using Retrieval-Augmented Generation (RAG). * Hands-on knowledge of Chain-of-Thoughts, Tree-of-Thoughts, Graph-of-Thoughts prompting strategies.
Expertise in designing and implementing pipelines using Retrieval-Augmented Generation (RAG). * Hands-on knowledge of Chain-of-Thoughts, Tree-of-Thoughts, Graph-of-Thoughts prompting strategies.
Experience with LLM-enabled applications such as retrieval-augmented generation, classification or extraction from unstructured text, or agent-like workflows; exposure to evaluation methods for LLM ...
Experience with LLM-enabled applications such as retrieval-augmented generation, classification or extraction from unstructured text, or agent-like workflows; exposure to evaluation methods for LLM ...
Senior Legal Counsel
Wilmington, DE · On-site
$135K - $183K/yr
... retrieval augmented generation ("RAG") models, large language model ("LLM") model training, and/or other emerging artificial intelligence ("AI") technologies, and (v) business associate agreements ...
Senior Legal Counsel
Wilmington, DE · On-site
$135K - $183K/yr
... retrieval augmented generation ("RAG") models, large language model ("LLM") model training, and/or other emerging artificial intelligence ("AI") technologies, and (v) business associate agreements ...
Experience creating generative AI solutions using LLM prompt engineering and Retrieval Augmented Generation (RAG). * Experience with evaluation metrics for ML and generative AI. * Demonstrated ...
Experience creating generative AI solutions using LLM prompt engineering and Retrieval Augmented Generation (RAG). * Experience with evaluation metrics for ML and generative AI. * Demonstrated ...
Experience with LLM-enabled applications such as retrieval-augmented generation, classification or extraction from unstructured text, or agent-like workflows; exposure to evaluation methods for LLM ...
Experience with LLM-enabled applications such as retrieval-augmented generation, classification or extraction from unstructured text, or agent-like workflows; exposure to evaluation methods for LLM ...
Experience with LLM-enabled applications such as retrieval-augmented generation, classification or extraction from unstructured text, or agent-like workflows; exposure to evaluation methods for LLM ...
Experience with LLM-enabled applications such as retrieval-augmented generation, classification or extraction from unstructured text, or agent-like workflows; exposure to evaluation methods for LLM ...
Experience with LLM-enabled applications such as retrieval-augmented generation, classification or extraction from unstructured text, or agent-like workflows; exposure to evaluation methods for LLM ...
Experience with LLM-enabled applications such as retrieval-augmented generation, classification or extraction from unstructured text, or agent-like workflows; exposure to evaluation methods for LLM ...
Experience creating generative AI solutions using LLM prompt engineering and Retrieval Augmented Generation (RAG). * Experience with evaluation metrics for ML and generative AI. * Demonstrated ...
Experience creating generative AI solutions using LLM prompt engineering and Retrieval Augmented Generation (RAG). * Experience with evaluation metrics for ML and generative AI. * Demonstrated ...
Experience with LLM-enabled applications such as retrieval-augmented generation, classification or extraction from unstructured text, or agent-like workflows; exposure to evaluation methods for LLM ...
Experience with LLM-enabled applications such as retrieval-augmented generation, classification or extraction from unstructured text, or agent-like workflows; exposure to evaluation methods for LLM ...
Experience with LLM-enabled applications such as retrieval-augmented generation, classification or extraction from unstructured text, or agent-like workflows; exposure to evaluation methods for LLM ...
Experience with LLM-enabled applications such as retrieval-augmented generation, classification or extraction from unstructured text, or agent-like workflows; exposure to evaluation methods for LLM ...
Senior AI Engineer
Wilmington, DE · On-site +1
$101K - $139K/yr
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 ...
Senior AI Engineer
Wilmington, DE · On-site +1
$101K - $139K/yr
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 ...
Senior Legal Counsel
Dover, DE · On-site
$139K - $189K/yr
... retrieval augmented generation ("RAG") models, large language model ("LLM") model training, and/or other emerging artificial intelligence ("AI") technologies, and (v) business associate agreements ...
Senior Legal Counsel
Dover, DE · On-site
$139K - $189K/yr
... retrieval augmented generation ("RAG") models, large language model ("LLM") model training, and/or other emerging artificial intelligence ("AI") technologies, and (v) business associate agreements ...
Senior Legal Counsel
Wilmington, DE · On-site
$135K - $183K/yr
... retrieval augmented generation ("RAG") models, large language model ("LLM") model training, and/or other emerging artificial intelligence ("AI") technologies, and (v) business associate agreements ...
Senior Legal Counsel
Wilmington, DE · On-site
$135K - $183K/yr
... retrieval augmented generation ("RAG") models, large language model ("LLM") model training, and/or other emerging artificial intelligence ("AI") technologies, and (v) business associate agreements ...
Internship Retrieval Augmented Generation information
What are the key skills and qualifications needed to thrive as an intern working with Retrieval Augmented Generation (RAG), and why are they important?
To thrive as an intern in Retrieval Augmented Generation, you need a foundational understanding of natural language processing, machine learning concepts, and strong programming skills, often supported by coursework or research in computer science or data science. Familiarity with tools like Python, PyTorch or TensorFlow, and experience with libraries such as Hugging Face Transformers and vector databases are typically required. Strong analytical thinking, curiosity, and effective communication make candidates stand out in collaborative, research-intensive environments. These abilities are critical for developing, evaluating, and improving RAG systems that combine information retrieval with generative models.
What is an Internship in Retrieval Augmented Generation (RAG)?
An Internship in Retrieval Augmented Generation (RAG) is a temporary position, typically for students or early-career professionals, focused on developing or researching AI systems that combine information retrieval with generative models. Interns in this field may work on enhancing how AI models find and use external data sources to generate accurate, context-aware responses. This role often involves tasks such as data preprocessing, implementing retrieval algorithms, fine-tuning language models, and evaluating system performance. It offers valuable hands-on experience with cutting-edge AI technologies and frameworks.
What types of projects or tasks can I expect to work on during an Internship in Retrieval Augmented Generation (RAG)?
As an intern in Retrieval Augmented Generation, you can expect to work on projects that involve integrating information retrieval systems with generative AI models. Typical tasks may include curating and preprocessing data sets, developing or fine-tuning retrieval algorithms, evaluating the performance of RAG pipelines, and collaborating with engineers and researchers to improve end-to-end system accuracy. You may also assist in conducting experiments, analyzing results, and documenting findings, all within a collaborative team environment that values innovation and knowledge sharing.
What is the difference between Internship Retrieval Augmented Generation vs Internship Data Analyst?
| Aspect | Internship Retrieval Augmented Generation | Internship Data Analyst |
|---|---|---|
| Required Skills | Knowledge of AI, NLP, retrieval systems, programming | Data analysis, statistical skills, Excel, SQL |
| Work Environment | Tech companies, AI startups, research labs | Business, finance, marketing departments |
| Employer Usage | Develop AI models, improve retrieval systems | Analyze data trends, generate reports |
Internship Retrieval Augmented Generation focuses on developing AI models that combine retrieval systems with language generation, requiring skills in AI and programming. In contrast, an Internship Data Analyst concentrates on analyzing data sets to inform business decisions, emphasizing statistical and analytical skills. Both roles are common in tech and business sectors but serve different functions within organizations.
What are the most commonly searched types of Retrieval Augmented Generation jobs in Delaware? The most popular types of Retrieval Augmented Generation jobs in Delaware are:
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Full-time
Medical, Dental, Vision, Life, Retirement, PTO
Posted 7 days ago
CardWorks rating
9.1
Based on 8 frontline employees who took The Breakroom Quiz
1st of 21 rated payment service providers
Job description
Become an everyday champion - and build a career where your impact fuels financial progress.
What We Do
CardWorks Financial Group is a diversified financial services platform building ethical solutions across credit, lending, and the full customer lifecycle. Through our family of companies, CardWorks Financial Group tackles the complex challenges that larger financial institutions leave behind. We're embedded throughout the credit card ecosystem as a lender, servicer, and merchant acquirer.
Who We Are
- Merrick Bank: The bank that builds
- CardWorks Servicing: One partner, total performance
- Carson Smithfield: Resolution with respect
With nearly 40 years of operating history, our track record is solid: disciplined in downturns and built to accelerate in recovery. The CardWorks Financial Group companies take precise approach in complex markets, as a top three non-prime focused general purpose card issuer and a top fifteen U.S. merchant acquirer.
Our team tackles the industry's most complex credit and payment challenges. And we believe that excellent work starts with a team that feels supported, respected, and empowered to grow.
CardWorks Servicing, LLC provides end-to end operational servicing functions for credit cards, secured cards, and installment loans. We service consumer and small business loans across the credit spectrum and offers backup servicing and due diligence services to capital providers and trustees.
Founded in 1997, Merrick Bank is an FDIC-insured financial institution headquartered in South Jordan, Utah, with over $10 billion in assets. A wholly owned subsidiary of CardWorks Financial Group, Merrick Bank serves roughly five million cardmembers and more than 100,000 merchant customers, offering credit cards, recreational loans, deposit accounts, merchant services and bank sponsorships to consumers and businesses.
Carson Smithfield, LLC provides a variety of post-charge-off debt recovery services, including digital self-service, IVR, live agent, and external agency management.
Position Summary and Role Impact:
The Director, Data Science - Competitive Intelligence, AI Insights & Strategic Analytics is a highly visible leadership role responsible for transforming internal, external, structured, and unstructured data into actionable business intelligence, competitive insights, and strategic recommendations. Sitting at the intersection of analytics, risk, strategy, technology, and market intelligence, this role leads the development of enterprise reporting, competitor benchmarking, AI-driven intelligence solutions, and executive decision support capabilities across CardWorks Financial Group.
This position combines advanced analytics, machine learning, Generative AI, competitive intelligence, and industry research to identify growth opportunities, anticipate market movements, evaluate competitor performance, monitor emerging risks, and support strategic decision-making. The role serves as a trusted advisor to executive leadership, business unit leaders, risk management, regulators, auditors, and board stakeholders by delivering data-driven insights that influence business strategy, portfolio performance, and market positioning.
The successful candidate will champion an AI-first and market-first mindset, leveraging machine learning, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and AI-powered automation to accelerate intelligence gathering, uncover hidden opportunities, and create sustainable competitive advantage. This leader will also drive the build-out of enterprise analytics capabilities, including KPI reporting, portfolio performance measurement, market intelligence platforms, competitor monitoring solutions, and executive AI copilots.
Essential Functions:
- Lead the development and delivery of enterprise reporting, executive dashboards, KPI scorecards, portfolio analytics, competitor benchmarking, and strategic business insights.
- Conduct in-depth analysis of industry trends, competitive dynamics, emerging technologies, market opportunities, and regulatory developments affecting the consumer lending, credit card, banking, payments, and fintech industries.
- Apply advanced statistical techniques, machine learning models, and predictive analytics to identify patterns, forecast market changes, and support strategic business decisions.
- Design and implement AI-powered market intelligence and competitive research solutions that automate the collection, synthesis, and interpretation of market data.
- Utilize Large Language Models (LLMs) to analyze and summarize earnings calls, SEC filings, analyst reports, press releases, industry publications, and competitor disclosures.
- Develop Retrieval-Augmented Generation (RAG) solutions and AI agents that enable continuous monitoring of competitor activity, customer trends, market signals, and regulatory developments.
- Build executive AI copilots that support strategic planning, competitive analysis, and business decision-making.
- Integrate external market, economic, customer, and industry datasets with internal business performance data to generate comprehensive insights.
- Analyze portfolio performance across lending products, identifying opportunities related to growth, profitability, customer behavior, risk management, and operational efficiency.
- Partner with business, product, marketing, digital, risk, technology, and finance leaders to translate analytical findings into actionable business recommendations.
- Support board presentations, regulatory requests, audit reviews, second-line risk reviews, and executive strategic initiatives through rigorous analysis and communication.
- Prepare audit-ready analyses and documentation to support regulatory, compliance, and governance requirements.
- Present complex analytical findings and strategic recommendations to executive leadership in a clear, concise, and compelling manner.
- Foster a culture of innovation, analytics excellence, data-driven decision-making, and AI adoption across the organization.
Requirements for Success:
Education & Experience:
- Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, Data Science, Business Analytics, Financial Engineering, or related quantitative discipline required; Master's degree preferred.
- 5+ years of experience in Business Analytics, Data Science, Competitive Intelligence, Market Research, Strategy Analytics, Risk Analytics, or related analytical roles.
- Experience within Financial Services, Consumer Lending, Credit Cards, Banking, Payments, or FinTech industries required.
- Strong understanding of lending economics, including interest income, interchange, fees, charge-offs, delinquency, portfolio performance, and risk management frameworks.
- Proven experience applying machine learning, artificial intelligence, and advanced analytics to solve business problems and generate strategic insights.
- Experience working with Generative AI, LLMs, RAG architectures, AI agents, and market intelligence automation solutions preferred.
- Strong proficiency in SQL, Python, Snowflake, AWS, and modern analytics platforms.
- Experience with Power BI, PowerPoint, SAS, R, or similar analytical and visualization tools preferred.
- Demonstrated ability to communicate complex technical findings and strategic recommendations to executive leadership, regulators, auditors, and non-technical stakeholders.
- Highly analytical self-starter with the ability to manage multiple priorities and deliver results in a fast-paced, highly regulated environment.
Leadership Competencies
- AI-first and market-first mindset.
- Strategic thinker with strong business acumen.
- Executive presence and storytelling capability.
- Strong stakeholder management and influencing skills.
- Curiosity-driven approach to problem solving and innovation.
- Ability to challenge assumptions with data and evidence.
- Commitment to driving measurable business outcomes through analytics and intelligence.
Ideally, the qualified candidate will work at the following location(s): South Jordan, UT, Woodbury, NY, Wilmington, DE. A hybrid work model or fully remote model can be considered based on hiring manager decision and priorities of the role.
The salary range for this position, if located in NY Metro/NY State is $146,409 to $162,676. However, please note that the salary range will vary for other geographic areas.
#INDHP
Our Employee Value Proposition
- Competitive Pay, including a Bonus Target or Variable Pay Incentive Program
- Benefits Package -Medical, Dental, and Vision (plus much more)
- 401(k) Plan with Company Match
- Short- & Long-Term Disability
- Wellness Programs
- Group Life and AD&D Insurance
- Paid Vacation, Sick Days and bank Holidays
- Employee Engagement Activities including Employee Appreciation Day, DEI Employee Resource Groups, Corporate Social Responsibility, Service Recognition
We offer a total rewards package comprised of a competitive base rate of pay, variable pay incentive programs based on the role, and a comprehensive benefit suite. Offered rates of pay are determined based on job-related knowledge, relevant experience, skills, certifications, and geographic location.
We are proud to be an equal opportunity employer. All qualified applicants will receive consideration without regard to age, race, color, sex, or gender identity/expression (including pregnancy, childbirth, transgender status, or sexual orientation), religion or creed, ancestry, citizenship, national origin, disability, military or veteran status, marital status, genetic information, or any other characteristic protected by applicable law.
We do not tolerate discrimination, harassment, or retaliation. Employment decisions are based solely on qualifications, merit, and business needs. Everyone is welcome here, and we hire based on your ability to do the job, not any protected characteristics.
If you need help or reasonable accommodation during the application or hiring process, please let your TA Partner know.
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