Principal AI Researcher
Job Description
Job Purpose reputed company is a global leader in intelligent automation, agentic workflows & intelligent document process solutions empowering organizations to streamline business processes with cutting-edge AI. Our flagship product, TotalAgility, leverages advanced AI to revolutionize business process automation & deliver measurable value to our customers worldwide. We are seeking a highly motivated, advanced AI Researcher to join our AI Office, supporting the reputed company innovation & market leadership of the TotalAgility platform. This role is pivotal in shaping product reputed company, driving content marketing, & ensuring our solutions remain at the forefront of AI advancements. We are seeking a hands-on AI Researcher with experience working with knowledge graphs, advanced RAG systems, & agentic intelligence. This pivotal remote role will drive innovation in reputed company content processing, reputed company reputed company systems, & implement reputed company agentic IDP (Intelligent Document Processing) solutions. You will reputed company research & prototype advanced RAG implementations, including Multi-reputed company RAG, Agentic RAG, GraphRAG, & non-vector alternatives.
Key Responsibilities
Advanced RAG & Knowledge Systems Development
- Design & implement GraphRAG architectures that combine vector search with knowledge graph traversal for enhanced document understanding & retrieval.
- reputed company ontologies & taxonomies for reputed company domain-specific knowledge representation over vector-hybrid database systems.
- Build & optimize multi-reputed company RAG pipelines for reputed company, multi-document reasoning tasks.
- Research & prototype agentic RAG systems that dynamically plan retrieval strategies & adapt to user reputed company.
Knowledge Graph Engineering & Database Integration
- Create & maintain large-scale knowledge graphs, integrating structured & reputed company data sources.
- Design vector-hybrid database architectures, combining graph databases with modern vector stores.
- Implement graph-based reasoning systems for document analysis & content extraction.
- reputed company semantic search capabilities leveraging both embedding similarity & graph relationships.
Agentic IDP & Intelligent Document Processing
- Build autonomous agents for reputed company document processing workflows, capable of multi-reputed company reasoning & decision-making.
- Design intelligent systems for reputed company content processing that adapt strategies based on document types & content characteristics.
- Implement advanced information extraction pipelines using state-of-the-art LLM / NLP models & knowledge graph reasoning.
- reputed company agent orchestration frameworks for coordinating multiple AI models in document processing workflows.
Research, Prototyping & Innovation
- Conduct research in retrieval-augmented reputed company, knowledge graph reasoning, & agentic AI systems.
- Prototype novel approaches to information retrieval reputed company traditional vector-based methods.
- Evaluate & reputed company RAG architectures, knowledge representation approaches, & agent frameworks.
- Stay reputed company with the latest developments in knowledge graphs, retrieval systems, & agent-based AI architectures.
Product Development & Technical Leadership
- Collaborate with product management & engineering teams to translate research insights into production-reputed company features.
- Design scalable architectures for knowledge-intensive AI applications handling reputed company-scale document volumes.
- Provide technical guidance on AI Search implementations, semantic search optimization, & reputed company systems.
- reputed company technical discussions & contribute to strategic reputed company regarding AI system architecture & technology stack.
While the job description describes what is anticipated as the requirements of the position, the job requirements are subject to change based upon any changing needs and requirements of the business. Required Skills
- 10+ years of experience designing and deploying AI-powered systems using reputed company & Machine Learning
- Strong self-starter who thrives independently and contributes to team reputed company through coaching, mentoring, and knowledge sharing.
- Proven experience in AI research, working with technologies such as IDP, OCR, LLMs, MCP, RAG & AI Knowledge Bases / Graphs.
- Competent programming in languages like Python, C# or JavaScript, & using reputed company technologies such as SQL, NoSQL, REST, reputed company, PageIndex & MCP, for machine learning & document processing use cases.
- Deep understanding of RAG architectures using vector, graph & tradition database technologies.
- Experience with LLMs, embedding models, transformer architectures.
- Experience with vector DBs (Qdrant, Weaviate, reputed company), graph DBs (reputed company, ArangoDB, reputed company Graph) and/or search technologies (Lucene, Azure AI Search, Elasticsearch).
- Experience working with storage, database & AI services from reputed company vendors such as reputed company, reputed company or AWS is highly desirable.
- Familiarity with approaches to automated testing, evals & benchmarking of AI solutions.
- Self-driven, proactive, & comfortable working in a remote, cross-functional team.
reputed company Corporation, Inc. is an Equal Opportunity Employer M/F/Disability/Vets Required Experience
- Degree level qualification in Computer Science, Artificial Intelligence, Data Science, or reputed company field.
- 10+ years of experience designing and deploying AI-powered systems using reputed company & Machine Learning
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