Familiar with RAG (Retrieval-Augmented Generation) pipelines, vector databases, or orchestration ... Paid Time Off (vacation, sick leave, parental leave, and holidays). * 100% remote work. * The ...
Familiar with RAG (Retrieval-Augmented Generation) pipelines, vector databases, or orchestration ... Paid Time Off (vacation, sick leave, parental leave, and holidays). * 100% remote work. * The ...
Senior Applied Scientist
Wilmington, DE · On-site +1
Posting Type Remote/Hybrid Job Overview WHO WE ARE Relativity is a leading legal data intelligence ... Experience building search or retrieval systems operating at the scale of hundreds of millions of ...
Senior Applied Scientist
Wilmington, DE · On-site +1
Posting Type Remote/Hybrid Job Overview WHO WE ARE Relativity is a leading legal data intelligence ... Experience building search or retrieval systems operating at the scale of hundreds of millions of ...
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 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.
What is the difference between Remote Retrieval Augmented Generation vs Remote Data Scientist?
| Aspect | Remote Retrieval Augmented Generation | Remote Data Scientist |
|---|---|---|
| Credentials | AI/ML knowledge, programming skills | Statistics, programming, domain expertise |
| Work Environment | AI development, NLP projects | Data analysis, model building |
| Industry Usage | AI, NLP, machine learning | Tech, finance, healthcare |
| Search & Comparison | Often compared for AI roles involving language models | Compared 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 Delaware? The most popular types of Retrieval Augmented Generation jobs in Delaware are:
What are popular job titles related to Remote Retrieval Augmented Generation jobs in Delaware? For Remote Retrieval Augmented Generation jobs in Delaware, the most frequently searched job titles are:
What job categories do people searching Remote Retrieval Augmented Generation jobs in Delaware look for? The top searched job categories for Remote Retrieval Augmented Generation jobs in Delaware are:
What cities in Delaware are hiring for Remote Retrieval Augmented Generation jobs? Cities in Delaware with the most Remote Retrieval Augmented Generation job openings:
Full-time
Medical, Dental, Vision, Retirement, PTO
Posted 9 days ago
Job description
About FullStack
FullStack is one of the fastest-growing software consultancy companies in the Americas. We deliver transformational digital solutions to top global companies and Silicon Valley startups. As an employee-first company, we focus on hiring the most talented software designers and developers by creating a positive, respectful, and supportive work environment where they can achieve their greatest potential.
We're most proud of:
The Position
We're looking to hire a Full-Stack AI Engineer (Agentic Systems) to join our team. This is a high-impact, client-facing role designed for a "plus-plus" version of a developer, someone who doesn't just build, but defines the architecture of how global enterprises adopt agentic workflows. You will serve as a strategic consultant and technical lead, helping regulated industries and Fortune 500 clients transition from traditional development to AI-augmented engineering productivity.
What We Are Looking For
What We Offer
FullStack is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status.
Learn more about our Applicants Privacy Notice .
FullStack is one of the fastest-growing software consultancy companies in the Americas. We deliver transformational digital solutions to top global companies and Silicon Valley startups. As an employee-first company, we focus on hiring the most talented software designers and developers by creating a positive, respectful, and supportive work environment where they can achieve their greatest potential.
We're most proud of:
- Offering life-changing career opportunities to talented software professionals across the Americas.
- Building highly-skilled software development teams for hundreds of the world's greatest companies.
- Having delivered hundreds of successful custom software solutions, which have positively impacted the lives and careers of millions of users.
- Our 4.2-star rating on GlassDoor.
- Our client Net Promoter Score of 68, twice the industry average.
The Position
We're looking to hire a Full-Stack AI Engineer (Agentic Systems) to join our team. This is a high-impact, client-facing role designed for a "plus-plus" version of a developer, someone who doesn't just build, but defines the architecture of how global enterprises adopt agentic workflows. You will serve as a strategic consultant and technical lead, helping regulated industries and Fortune 500 clients transition from traditional development to AI-augmented engineering productivity.
What We Are Looking For
- 5+ years of professional full-stack software engineering experience.
- Advanced English is required.
- Successful completion of a four-year college degree is required.
- Expertise in building agentic AI workflows and autonomous AI systems.
- Hands-on experience utilizing Claude Code and modern LLM platforms (Anthropic Claude, OpenAI).
- Strong history of developing AI-powered web applications using React, Next.js, JavaScript, and TypeScript.
- Extensive experience building backend services and APIs with Node.js or Python.
- Track record of productizing early-stage Generative AI prototypes into scalable, production-ready MVPs.
- Solid understanding of cloud-based architectures on AWS and containerization tools such as Docker.
- Well-versed in database management systems, including PostgreSQL and MongoDB.
- Familiar with RAG (Retrieval-Augmented Generation) pipelines, vector databases, or orchestration frameworks.
- Capable of working with GraphQL, microservices, or event-driven systems in fast-paced environments.
- Ability to work through new and difficult issues and contribute to libraries as needed.
- Ability to create and maintain continuous integration and delivery of applications.
- Forensic attention to detail.
- A positive mindset and a can-do attitude.
- Experience working on Agile/Scrum teams.
- Meaningful experience working on large, complex systems.
- Ability to take extreme ownership over your work. Every day is a challenge to ensure you are performing to the expectations you and your team have agreed upon.
- Ability to identify with the goals of FullStack's clients and dedicate yourself to delivering on the commitments you and your team make to them.
- Ability to consistently work 40 hours per week.
What We Offer
- Competitive Salary.
- Paid Time Off (vacation, sick leave, parental leave, and holidays).
- 100% remote work.
- The ability to work with leading startups and Fortune 500 companies.
- Health, dental, and vision insurance.
- 401(k) w/ 4% match.
- Ample opportunity for career advancement.
- Continuing education opportunities.
FullStack is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status.
Learn more about our Applicants Privacy Notice .
About FullStack Labs
Sourced by ZipRecruiter
FullStack Labs is the fastest-growing software consultancy in the Americas. We help organizations like Uber, GoDaddy, MGM, Siemens, Stanford University, and the State of California, build distributed software development teams, and deliver transformational digital solutions. As an employee-first company, we focus on hiring the most talented software designers and developers in the western hemisphere, by creating a positive, respectful, and supportive work environment where they can achieve their greatest potential.
Industry
It services
Company size
11 - 50 Employees
Headquarters location
Sacramento, CA, US
Year founded
2013