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Remote Retrieval Augmented Generation Jobs in Delaware

Iff

AI Engineer, Industrial

Wilmington, DE · On-site +1

$67K - $91K/yr

... retrieval-augmented generation, evaluation, hallucination reduction, and human-in-the-loop ... Remote-based working model with meaningful collaboration across global teams and regular travel for ...

All JobsRemote Retrieval Augmented Generation JobsRemote Retrieval Augmented Generation Jobs in Delaware

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.
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:
Remote Retrieval Augmented Generation jobs near you
AI Engineer, Industrial

AI Engineer, Industrial

Iff

Wilmington, DE • On-site, Remote

$67K - $91K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 3 days ago

Job description

Job Summary

Are you passionate about innovation that transforms everyday products into extraordinary experiences?

IFF is a global leader in flavors, fragrances, food ingredients and health & biosciences, delivering sustainable innovations that elevate everyday products.

Health & Biosciences: Channeling our passion for nature and bioscience into sustainable, life-enhancing technologies that power innovative solutions across healthcare, food, consumer and industrial markets.

The role is remote-based with regular travelrequired; travel may reach up to ~35% annually depending on project scope and deployment phases, with occasional intensive periods (e.g., 2-3 consecutive weeks on-site). Multiple locations may be consideredsubject to business needs, local employment requirements, and candidateprofile. Be part of a creative, solution-oriented, and collaborative team where together we can achieve greatness and make a real impact. Your potential is our inspiration.

WhereYou'llMake a Difference

  • Develop practical AI, machine learningandoptimizationsolutions that help technical and operational teams make complex industrial data easier to understand, explore, and act on.
  • Apply frontier AI models, including large language models, foundation models, and multimodal approaches, to create reliable tools for search, analysis, knowledge discovery, and decision support.
  • Build AI-enabled applications that combine models, data pipelines, prompts,agents,evaluations, optimization logic, and user feedback into solutions that are useful, explainable, and maintainable.
  • Design and use knowledge graphs, ontologies, and structured domain knowledge to connect process data, experimental data, documents, terminology, assets, materials, and business context.
  • Work with domain experts to translate scientific, engineering, process control, and operational questions into data products, model workflows, optimization approaches, and user-friendly analytics experiences.
  • Develop robust pipelines for structured and unstructured data, including time-series data, laboratory data, manufacturing data, documents, and scientific or technical knowledge sources.
  • Contribute to model validation, monitoring, documentation, governance, and continuous improvement so that deployed solutions can be trusted in real industrial environments.
  • Collaborate across data science, engineering, digital technology, operations, and business teams to deliver solutions that create measurable value and are designed for adoption.

What Makes You the Right Fit

  • Master's, or PhD degreein Chemical Engineering, Biochemical Engineering, Bioinformatics, Process Control, Computer Science, Data ScienceorApplied Mathematics.
  • Demonstratedindustrial experience with a proventrack recordof delivering measurable business impact and driving outcomes in production or operational environments
  • Proven,hands-on experience with Python and modern machine learning workflows, including data preparation, modeling, validation, deployment, and monitoring.
  • Experience developing end-to-end AI or machine learning applications, not only exploratory notebooks, with an ability to move from prototype to reliable solutionincludingdemonstratedexperience deploying solutions in real industrial or production environments.
  • Practical understanding of frontier model capabilities and limitations, including prompt design,agentic AI,retrieval-augmented generation, evaluation, hallucination reduction, and human-in-the-loop workflows.
  • Experience working with structured and unstructured data, such as time-series data, scientific data, engineering data, documents, knowledge bases, or complex operational datasets.
  • Knowledge of methods such as mathematical optimization, process control, forecasting, anomaly detection, recommendation systems, natural language interfaces, classification, deep learning, or predictive analytics.
  • Familiarity with software engineering practices such as version control, testing, application programming interfaces, containers, continuous integration and continuous delivery, and maintainable code design.
  • Ability to communicate clearly with both technical and non-technical audiences, including explaining model outputs, uncertainty, assumptions, control logic,optimizationtrade-offs, and practical implications.
  • A practical, delivery-oriented mindset with curiosity for industrial, scientific, optimization, and process control problems and a strong focus on usefulness, trust, and adoption.

How Would You Stand Out?

  • Experience with knowledge graphs, ontologies, semantic modeling, graph databases, or retrieval-augmented generation for scientific, industrial, or operational use cases.
  • Experience in manufacturing, process development, industrial operations, supply chain,biomanufacturing, bioinformatics, chemical processes, advanced process control, or mathematical optimization in technical environments.
  • Experience with model registries, experiment tracking, observability, prompt and version management, evaluation frameworks, cloud platforms, or production machine learning systems.

Why Choose Us?

  • Remote-based working model with meaningful collaboration across global teams and regular travel for high-impact engagement.
  • Opportunity to apply advanced AI, optimization, and machine learning to real industrial and scientific challenges.
  • A role where software engineering, data science, domain knowledge, process control, and practical problem solving come together.
  • Exposure todiverse technical communities across Health & Biosciences, operations, digital technology, engineering, and business teams.
  • Learning and development opportunities in a global company with a strong innovation culture.
  • A collaborative environment where useful, explainable, and trusted solutions matter.

Compensation ($100,000 - $120,000) is based on a variety of factors including but not limited to work experience, skills, certifications, and location. Our benefits package includes medical, dental, vision, 401k, vacation, holidays, paid parental leave (maternity and paternity), and an annual bonus plan.

We are a global leader in taste, scent, and nutrition, offering our customers a broader range of natural solutions and accelerating our growth strategy. At IFF, we believe that your uniqueness unleashes our potential. We value the diverse mosaic of the ethnicity, national origin, race, age, sex, or veteran status. We strive for an inclusive workplace that allows each of our colleagues to bring their authentic self to work regardless of their religion, gender identity & expression, sexual orientation, or disability.

Visit IFF.com/careers/workplace-diversity-and-inclusion to learn more

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