Dover Networks LLC
Software Engineer (SWE), Level 1 [D.24.0170]
Dover Networks LLC, Baltimore, Maryland, United States,
Requires TS/SCI w/ poly.
Description:
We are seeking an enthusiastic and adaptable RAG (Retrieval-Augmented Generation) Integration Software Engineer to join our full stack AI team. This role is ideal for early-career professionals who excel at problem-solving, demonstrate a passion for continuous learning, and can effectively collaborate in a team environment. As part of our team, you’ll contribute to cutting-edge RAG systems, with a focus on vector databases, UI development, shared collections, and JavaScript integration. We value candidates who can think critically, adapt quickly to new technologies, and understand the business impact of their work. This position offers an exciting opportunity to grow your career in AI technology, guided by experienced mentors who will help you apply your skills to real-world challenges in the rapidly evolving field of RAG systems.
Responsibilities:
Assist in developing and implementing RAG systems, with a focus on vector database integration and optimization.
Collaborate with cross-functional teams to design and develop user-friendly interfaces for RAG applications using Python, JavaScript, and modern web frameworks.
Contribute to the creation and management of shared collections, ensuring efficient data retrieval and organization.
Participate in code reviews, sharing your ideas and learning from experienced team members, particularly in JavaScript and UI development.
Engage in continuous learning about RAG, NLP, vector databases, and related fields, applying new knowledge to ongoing projects.
Help with testing and quality assurance of RAG systems, UI components, and vector database integrations.
Contribute to technical documentation, improving your ability to communicate complex concepts related to RAG and vector databases clearly.
Actively participate in team discussions, offering fresh perspectives on UI/UX design for RAG applications.
Participate in customer interactions infrequently to gather product requirements.
Skills Requirements:
Bachelor’s degree in Computer Science, Artificial Intelligence, or a related field.
Strong analytical thinking and problem-solving skills, particularly in data structures and algorithms.
Ability to learn new technologies quickly and apply them effectively.
Basic understanding of machine learning, natural language processing, and vector database concepts.
Proficiency in JavaScript and experience with modern web development frameworks (e.g., React, Vue.js).
Familiarity with UI/UX design principles for data-intensive applications.
Good communication skills, with the ability to explain technical concepts related to RAG and vector databases to various audiences.
Demonstrated ability to work collaboratively in a team environment.
Curiosity and passion for AI technology, particularly in RAG systems and their business applications.
Nice to Haves:
Internship or project experience demonstrating problem-solving with vector databases or RAG systems.
Familiarity with vector database systems (e.g., Pinecone, Faiss, Milvus).
Basic understanding of large language models and their integration with vector databases.
Experience with or interest in optimizing shared collections for efficient data retrieval.
Contributions to open-source projects or personal coding projects showcasing JavaScript-based UI development for data-intensive applications.
Familiarity with RESTful APIs and GraphQL for connecting front-end applications to back-end services.
YOE Requirement:
3 yrs., B.S. in a technical discipline or 4 additional yrs. in place of B.S.
#J-18808-Ljbffr
Description:
We are seeking an enthusiastic and adaptable RAG (Retrieval-Augmented Generation) Integration Software Engineer to join our full stack AI team. This role is ideal for early-career professionals who excel at problem-solving, demonstrate a passion for continuous learning, and can effectively collaborate in a team environment. As part of our team, you’ll contribute to cutting-edge RAG systems, with a focus on vector databases, UI development, shared collections, and JavaScript integration. We value candidates who can think critically, adapt quickly to new technologies, and understand the business impact of their work. This position offers an exciting opportunity to grow your career in AI technology, guided by experienced mentors who will help you apply your skills to real-world challenges in the rapidly evolving field of RAG systems.
Responsibilities:
Assist in developing and implementing RAG systems, with a focus on vector database integration and optimization.
Collaborate with cross-functional teams to design and develop user-friendly interfaces for RAG applications using Python, JavaScript, and modern web frameworks.
Contribute to the creation and management of shared collections, ensuring efficient data retrieval and organization.
Participate in code reviews, sharing your ideas and learning from experienced team members, particularly in JavaScript and UI development.
Engage in continuous learning about RAG, NLP, vector databases, and related fields, applying new knowledge to ongoing projects.
Help with testing and quality assurance of RAG systems, UI components, and vector database integrations.
Contribute to technical documentation, improving your ability to communicate complex concepts related to RAG and vector databases clearly.
Actively participate in team discussions, offering fresh perspectives on UI/UX design for RAG applications.
Participate in customer interactions infrequently to gather product requirements.
Skills Requirements:
Bachelor’s degree in Computer Science, Artificial Intelligence, or a related field.
Strong analytical thinking and problem-solving skills, particularly in data structures and algorithms.
Ability to learn new technologies quickly and apply them effectively.
Basic understanding of machine learning, natural language processing, and vector database concepts.
Proficiency in JavaScript and experience with modern web development frameworks (e.g., React, Vue.js).
Familiarity with UI/UX design principles for data-intensive applications.
Good communication skills, with the ability to explain technical concepts related to RAG and vector databases to various audiences.
Demonstrated ability to work collaboratively in a team environment.
Curiosity and passion for AI technology, particularly in RAG systems and their business applications.
Nice to Haves:
Internship or project experience demonstrating problem-solving with vector databases or RAG systems.
Familiarity with vector database systems (e.g., Pinecone, Faiss, Milvus).
Basic understanding of large language models and their integration with vector databases.
Experience with or interest in optimizing shared collections for efficient data retrieval.
Contributions to open-source projects or personal coding projects showcasing JavaScript-based UI development for data-intensive applications.
Familiarity with RESTful APIs and GraphQL for connecting front-end applications to back-end services.
YOE Requirement:
3 yrs., B.S. in a technical discipline or 4 additional yrs. in place of B.S.
#J-18808-Ljbffr