Principal AI Researcher

Job Purpose

Tungsten Automation 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 continued innovation & market leadership of the TotalAgility platform. This role is pivotal in shaping product vision, 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 unstructured content processing, develop knowledge management systems, & implement next-generation agentic IDP (Intelligent Document Processing) solutions. You will lead research & prototype advanced RAG implementations, including Multi-step 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.

·        Develop ontologies & taxonomies for complex domain-specific knowledge representation over vector-hybrid database systems.

·        Build & optimize multi-step RAG pipelines for complex, multi-document reasoning tasks.

·        Research & prototype agentic RAG systems that dynamically plan retrieval strategies & adapt to user intent.

Knowledge Graph Engineering & Database Integration

·        Create & maintain large-scale knowledge graphs, integrating structured & unstructured data sources.

·        Design vector-hybrid database architectures, combining graph databases with modern vector stores.

·        Implement graph-based reasoning systems for document analysis & content extraction.

·        Develop semantic search capabilities leveraging both embedding similarity & graph relationships.

Agentic IDP & Intelligent Document Processing

·        Build autonomous agents for complex document processing workflows, capable of multi-step reasoning & decision-making.

·        Design intelligent systems for unstructured 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.

·        Develop agent orchestration frameworks for coordinating multiple AI models in document processing workflows.

Research, Prototyping & Innovation

·        Conduct research in retrieval-augmented generation, knowledge graph reasoning, & agentic AI systems.

·        Prototype novel approaches to information retrieval beyond traditional vector-based methods.

·        Evaluate & benchmark RAG architectures, knowledge representation approaches, & agent frameworks.

·        Stay current 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-ready features.

·        Design scalable architectures for knowledge-intensive AI applications handling enterprise-scale document volumes.

·        Provide technical guidance on AI Search implementations, semantic search optimization, & knowledge management systems.

·        Lead technical discussions & contribute to strategic decisions 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.

• 10+ years of experience designing and deploying AI-powered systems using Generative AI & Machine Learning
• Strong self-starter who thrives independently and contributes to team success 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 related technologies such as SQL, NoSQL, REST, LangChain, 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, Pinecone), graph DBs (Neo4j, ArangoDB, Microsoft Graph) and/or search technologies (Lucene, Azure AI Search, Elasticsearch).
• Experience working with storage, database & AI services from cloud vendors such as Microsoft, Google 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.

Tungsten Automation Corporation, Inc. is an Equal Opportunity Employer M/F/Disability/Vets

• Degree level qualification in Computer Science, Artificial Intelligence, Data Science, or related field.
• 10+ years of experience designing and deploying AI-powered systems using Generative AI & Machine Learning