Python | Agentic AI | Generative AI | LLMs | AI Agents | LangChain | LangGraph | OpenAI Agent SDK | RAG | Prompt Engineering | Vector Databases | FastAPI | REST APIs | AWS/Azure/Google Cloud Platform ...
Python | Agentic AI | Generative AI | LLMs | AI Agents | LangChain | LangGraph | OpenAI Agent SDK | RAG | Prompt Engineering | Vector Databases | FastAPI | REST APIs | AWS/Azure/Google Cloud Platform ...
Director, AI Product Development
Wilmington, DE · On-site
$150 - $190/hr
Familiarity with LLMs, prompt engineering, RAG architectures, and/or agentic frameworks (e.g.,LangChain,LlamaIndex, or similar) * Fluency in Python and ML/AI tooling; experience with cloud platforms ...
Director, AI Product Development
Wilmington, DE · On-site
$150 - $190/hr
Familiarity with LLMs, prompt engineering, RAG architectures, and/or agentic frameworks (e.g.,LangChain,LlamaIndex, or similar) * Fluency in Python and ML/AI tooling; experience with cloud platforms ...
Senior AI Engineer
Wilmington, DE · On-site +1
$101K - $139K/yr
Chemours is seeking a Senior AI Engineer to join our growing AI & Data Science team. This is a ... RAG) techniques, and a variety of search architectures. Candidates should be able to clearly ...
Senior AI Engineer
Wilmington, DE · On-site +1
$101K - $139K/yr
Chemours is seeking a Senior AI Engineer to join our growing AI & Data Science team. This is a ... RAG) techniques, and a variety of search architectures. Candidates should be able to clearly ...
Implement retrieval-augmented generation (RAG) solutions, including embeddings, semantic search ... Drives adoption and governance of approved AI-assisted engineering practices across teams to ...
New
Implement retrieval-augmented generation (RAG) solutions, including embeddings, semantic search ... Drives adoption and governance of approved AI-assisted engineering practices across teams to ...
New
Implement retrieval-augmented generation (RAG) solutions, including embeddings, semantic search ... Drives adoption and governance of approved AI-assisted engineering practices across teams to ...
New
Implement retrieval-augmented generation (RAG) solutions, including embeddings, semantic search ... Drives adoption and governance of approved AI-assisted engineering practices across teams to ...
New
Implement retrieval-augmented generation (RAG) solutions, including embeddings, semantic search ... Drives adoption and governance of approved AI-assisted engineering practices across teams to ...
Implement retrieval-augmented generation (RAG) solutions, including embeddings, semantic search ... Drives adoption and governance of approved AI-assisted engineering practices across teams to ...
AI Experience Designer, Senior Associate
Wilmington, DE · On-site
$99K - $105K/yr
As an AI Experience Designer, Senior Associate in Marketing, you will play a pivotal role in ... MCP, Agents, RAG). * Previous experience interpreting complex data and transforming it into ...
AI Experience Designer, Senior Associate
Wilmington, DE · On-site
$99K - $105K/yr
As an AI Experience Designer, Senior Associate in Marketing, you will play a pivotal role in ... MCP, Agents, RAG). * Previous experience interpreting complex data and transforming it into ...
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 ...
Senior Product Manager GenAI & Credit Card Platforms
Wilmington, DE · On-site
$122K - $162K/yr
AI/GenAI Knowledge: In-depth understanding of LLMs, prompt engineering, Retrieval-Augmented Generation (RAG), and AI development workflows. Domain Expertise: Knowledge of credit card systems, fraud ...
New
Senior Product Manager GenAI & Credit Card Platforms
Wilmington, DE · On-site
$122K - $162K/yr
AI/GenAI Knowledge: In-depth understanding of LLMs, prompt engineering, Retrieval-Augmented Generation (RAG), and AI development workflows. Domain Expertise: Knowledge of credit card systems, fraud ...
New
$150 - $190/hr
Training and Work experience in implementation of Generative AI solutions like NLP solutions involving - LLM Models, RAG, Prompt Engineering, AWS Bedrock * Previous experience with Snowflake #J-18808 ...
$150 - $190/hr
Training and Work experience in implementation of Generative AI solutions like NLP solutions involving - LLM Models, RAG, Prompt Engineering, AWS Bedrock * Previous experience with Snowflake #J-18808 ...
Senior Legal Counsel
Wilmington, DE · On-site
$135K - $183K/yr
... RAG") models, large language model ("LLM") model training, and/or other emerging artificial intelligence ("AI") technologies, and (v) business associate agreements and/or data processing agreements.
Senior Legal Counsel
Wilmington, DE · On-site
$135K - $183K/yr
... RAG") models, large language model ("LLM") model training, and/or other emerging artificial intelligence ("AI") technologies, and (v) business associate agreements and/or data processing agreements.
Senior Legal Counsel
Wilmington, DE · On-site
$135K - $183K/yr
... RAG") models, large language model ("LLM") model training, and/or other emerging artificial intelligence ("AI") technologies, and (v) business associate agreements and/or data processing agreements.
Senior Legal Counsel
Wilmington, DE · On-site
$135K - $183K/yr
... RAG") models, large language model ("LLM") model training, and/or other emerging artificial intelligence ("AI") technologies, and (v) business associate agreements and/or data processing agreements.
Senior Legal Counsel
Dover, DE · On-site
$139K - $189K/yr
... RAG") models, large language model ("LLM") model training, and/or other emerging artificial intelligence ("AI") technologies, and (v) business associate agreements and/or data processing agreements.
Senior Legal Counsel
Dover, DE · On-site
$139K - $189K/yr
... RAG") models, large language model ("LLM") model training, and/or other emerging artificial intelligence ("AI") technologies, and (v) business associate agreements and/or data processing agreements.
Senior Legal Counsel
Wilmington, DE · On-site
$135K - $183K/yr
... RAG") models, large language model ("LLM") model training, and/or other emerging artificial intelligence ("AI") technologies, and (v) business associate agreements and/or data processing agreements.
Senior Legal Counsel
Wilmington, DE · On-site
$135K - $183K/yr
... RAG") models, large language model ("LLM") model training, and/or other emerging artificial intelligence ("AI") technologies, and (v) business associate agreements and/or data processing agreements.
Senior Legal Counsel
Dover, DE · On-site
$139K - $189K/yr
... RAG") models, large language model ("LLM") model training, and/or other emerging artificial intelligence ("AI") technologies, and (v) business associate agreements and/or data processing agreements.
Senior Legal Counsel
Dover, DE · On-site
$139K - $189K/yr
... RAG") models, large language model ("LLM") model training, and/or other emerging artificial intelligence ("AI") technologies, and (v) business associate agreements and/or data processing agreements.
Senior Legal Counsel
Dover, DE · On-site
$139K - $189K/yr
... RAG") models, large language model ("LLM") model training, and/or other emerging artificial intelligence ("AI") technologies, and (v) business associate agreements and/or data processing agreements.
Senior Legal Counsel
Dover, DE · On-site
$139K - $189K/yr
... RAG") models, large language model ("LLM") model training, and/or other emerging artificial intelligence ("AI") technologies, and (v) business associate agreements and/or data processing agreements.
Experience developing and deploying Generative AI or LLM-based solutions, including prompt engineering, retrieval-augmented generation (RAG), fine-tuning, or agent-based architectures * Strong ...
New
Experience developing and deploying Generative AI or LLM-based solutions, including prompt engineering, retrieval-augmented generation (RAG), fine-tuning, or agent-based architectures * Strong ...
New
Tech Lead
Wilmington, DE · On-site
Strong understanding of Large Language Models (LLMs), RAG architectures, semantic search, vector databases, prompt engineering, and agentic AI patterns. * Hands-on experience designing and delivering ...
Tech Lead
Wilmington, DE · On-site
Strong understanding of Large Language Models (LLMs), RAG architectures, semantic search, vector databases, prompt engineering, and agentic AI patterns. * Hands-on experience designing and delivering ...
Tech Lead
Wilmington, DE · On-site
Strong understanding of Large Language Models (LLMs), RAG architectures, semantic search, vector databases, prompt engineering, and agentic AI patterns. * Hands-on experience designing and delivering ...
Tech Lead
Wilmington, DE · On-site
Strong understanding of Large Language Models (LLMs), RAG architectures, semantic search, vector databases, prompt engineering, and agentic AI patterns. * Hands-on experience designing and delivering ...
Tech Lead
Wilmington, DE · On-site
$120 - $180/hr
Strong understanding of Large Language Models (LLMs), RAG architectures, semantic search, vector databases, prompt engineering, and agentic AI patterns. * Hands-on experience designing and delivering ...
Tech Lead
Wilmington, DE · On-site
$120 - $180/hr
Strong understanding of Large Language Models (LLMs), RAG architectures, semantic search, vector databases, prompt engineering, and agentic AI patterns. * Hands-on experience designing and delivering ...
Ai Rag information
What is an AI RAG?
AI RAGs, or Retrieval-Augmented Generation systems, are a type of artificial intelligence that combines the power of retrieving information from large databases or documents with generating human-like text responses. This approach allows AI models to provide more accurate, up-to-date, and contextually relevant answers by referencing external data sources during the generation process. RAGs are commonly used in applications like chatbots, search engines, and customer support systems, where comprehensive and factual responses are important.
What are the key skills and qualifications needed to thrive as an AI researcher?
To thrive as an AI Researcher, you need a strong background in computer science, mathematics, and machine learning, usually with an advanced degree such as a Master's or Ph.D. Proficiency with programming languages like Python, deep learning frameworks (e.g., TensorFlow, PyTorch), and familiarity with scientific research tools is essential. Critical thinking, creativity, and effective collaboration are vital soft skills for generating novel ideas and working in multidisciplinary teams. These skills and qualities are crucial to drive innovation and solve complex problems in the rapidly evolving field of artificial intelligence.
What are common challenges faced by AI RAG engineers when integrating retrieval systems with large language models?
AI RAG engineers often encounter challenges such as ensuring seamless integration between retrieval systems and language models, maintaining low latency for real-time responses, and handling the quality and relevance of retrieved data. Additionally, tuning the system to balance retrieval accuracy with generative fluency can be complex, especially when dealing with large or unstructured datasets. Collaboration with data engineers, ML researchers, and product teams is essential to address these challenges and optimize system performance.
What is the difference between Ai Rag vs Data Analyst?
| Aspect | Ai Rag | Data Analyst |
|---|---|---|
| Required Credentials | Typically a diploma or certification in AI, machine learning, or related fields | Bachelor's degree in statistics, mathematics, or related fields |
| Work Environment | Tech companies, AI startups, research labs | Business, finance, healthcare, and various industries |
| Employer & Industry Usage | Primarily in AI development and research | Across industries for data interpretation and decision-making |
| Common Search & Comparison | Yes | Yes |
Ai Rag and Data Analyst roles share overlapping skills in data handling and analysis, but Ai Rag focuses more on AI-specific applications and machine learning, while Data Analysts concentrate on interpreting data to inform business decisions. Both roles are vital in data-driven industries, with Ai Rag often working in AI development environments and Data Analysts supporting strategic insights across sectors.
What are popular job titles related to Ai Rag jobs in Delaware?
For Ai Rag jobs in Delaware, the most frequently searched job titles are:
What job categories do people searching Ai Rag jobs in Delaware look for?
The top searched job categories for Ai Rag jobs in Delaware are:
What cities in Delaware are hiring for Ai Rag jobs?
Cities in Delaware with the most Ai Rag job openings:
Other
Posted 4 days ago
Key responsibilities
Design and develop scalable Agentic AI applications and AI-powered solutions using Python.
Build, integrate, and optimize AI agents, multi-agent workflows, tools, and orchestration pipelines, and develop production-grade Python services, APIs, integrations, and backend components.
Integrate AI agents with enterprise systems, APIs, databases, SaaS platforms, and business applications, and implement mechanisms for agent memory, context management, and knowledge retrieval.
Job description
Job Title: Software Engineer Python – Advanced
Location: Wilmington, DE
Duration: Long Term
We are looking for an Advanced Python Engineer / Agentic AI FDE with strong hands-on experience in Python development and a solid understanding of Generative AI, LLMs, AI Agents, and agentic application development.
The ideal candidate will work closely with client engineering and product teams to design, develop, integrate, and deploy production-grade agentic AI solutions. This role requires strong software engineering fundamentals, the ability to work with modern AI frameworks, and excellent client-facing problem-solving skills.
Key Competencies: Python | Agentic AI | Generative AI | LLMs | AI Agents | LangChain | LangGraph | OpenAI Agent SDK | RAG | Prompt Engineering | Vector Databases | FastAPI | REST APIs | AWS/Azure/Google Cloud Platform | Bedrock | Azure AI Foundry | Vertex AI | Docker | Kubernetes | CI/CD | AI Governance | Client Engineering | FDE
Key Responsibilities
· Design and develop scalable Agentic AI applications and AI-powered solutions using Python.
Build, integrate, and optimize AI agents, multi-agent workflows, tools, and orchestration pipelines.
Develop production-grade Python services, APIs, integrations, and backend components.
Work with LLMs, prompt engineering, RAG, embeddings, vector databases, and tool/function calling.
Implement agent workflows using frameworks such as LangChain, LangGraph, OpenAI Agent SDK, Google ADK, CrewAI, AutoGen, or similar frameworks.
Integrate AI agents with enterprise systems, APIs, databases, SaaS platforms, and business applications.
Develop and consume REST APIs, microservices, and event-driven integrations.
Implement appropriate mechanisms for agent memory, context management, state management, and knowledge retrieval.
Work with cloud-based AI platforms such as AWS Bedrock, Azure AI Foundry, or Google Cloud Vertex AI/Gemini.
Implement observability, monitoring, logging, evaluation, and performance optimization for AI applications.
Collaborate with architects, product managers, data scientists, and client stakeholders to translate business requirements into technical solutions.
Participate in client discussions, technical workshops, solution demonstrations, and proof-of-concepts.
Troubleshoot complex technical issues and provide hands-on engineering support during implementation.
Follow secure and responsible AI engineering practices, including appropriate authentication, authorization, data protection, and AI governance.
Required Technical Skills
Python – Advanced
Strong hands-on expertise in Python.
Advanced knowledge of Python programming concepts, OOP, data structures, exception handling, concurrency/asynchronous programming, and performance optimization.
Experience building production-grade applications and APIs using frameworks such as FastAPI, Flask, or Django.
Strong understanding of testing, debugging, logging, packaging, and dependency management.
Agentic AI / Generative AI
Strong understanding of LLMs, Generative AI, AI Agents, Agentic AI, and LLM application architecture.
Hands-on experience with one or more agent frameworks such as:
LangChain / LangGraph
OpenAI Agent SDK
Google ADK
CrewAI
AutoGen
Microsoft Agent Framework or equivalent
Experience with RAG, vector search, embeddings, prompt engineering, tool/function calling, structured outputs, and agent orchestration.
Understanding of agent memory, context management, multi-agent systems, and agent evaluation.
Cloud & AI Platforms
Experience with at least one major cloud platform: AWS, Azure, or Google Cloud Platform.
Exposure to AI platforms such as Amazon Bedrock, Azure AI Foundry, Vertex AI/Gemini, or equivalent.
Understanding of deploying AI applications in cloud environments.
APIs & Integration
Strong experience with REST APIs, JSON, web services, authentication, and third-party integrations.
Experience integrating AI solutions with enterprise applications and data sources.
Understanding of microservices and distributed application architecture.
Data & Databases
Experience with SQL and relational databases.
Exposure to NoSQL databases and vector databases such as Pinecone, Weaviate, Milvus, pgvector, or equivalent.
Understanding of data ingestion, retrieval, chunking, embeddings, and knowledge bases.
Preferred Skills
Experience with Docker, Kubernetes, CI/CD, Git, and cloud deployment.
Exposure to AI observability and evaluation tools.
Understanding of AI governance, guardrails, responsible AI, and security considerations for agentic systems.
Experience with MCP (Model Context Protocol) and enterprise tool integrations.
Experience working with enterprise-grade AI platforms or agent orchestration platforms.
Knowledge of authentication and authorization mechanisms such as Oauth2/JWT.
Experience working in financial services, banking, or other highly regulated environments is a plus.
FDE / Client-Facing Skills
Strong communication and stakeholder management skills.
Ability to work directly with client engineering, architecture, and product teams.
Ability to understand ambiguous business problems and convert them into technical solutions.
Comfortable conducting technical workshops, architecture discussions, POCs, demos, and troubleshooting sessions.
Ability to work independently in a fast-paced client environment.
Strong analytical and problem-solving skills.
Education & Experience
Bachelor's or Master's degree in Computer Science, Engineering, or a related technical discipline.
5+ years of software engineering experience, with strong hands-on Python development experience.
2+ years of experience in Generative AI / LLM / Agentic AI development preferred.
Proven experience delivering production-grade applications or AI solutions.