R&D Engineer - AI and Innovation

• →Monitor and synthesize developments in LLM systems, AI infrastructure, and adjacent research areas
• →Prototype and evaluate novel ideas with a fast feedback loop — build, demo, iterate
• →Extend and improve the existing agent and RAG SDKs with new retrieval strategies, agent patterns, and provider integrations
• →Evaluate new embedding models, reranking approaches, and retrieval architectures against the existing pipeline
• →Collaborate with the Platform and AI Engineers to hand off validated POCs
• →Produce clear documentation and demos that make research accessible to non-researchers
• →Contribute to discussions with the tech lead on long-term research direction and where to place technical bets
• →Engage with the broader research community — conferences, papers, open-source projects
• →Identify opportunities where emerging techniques can address real problems surfaced by the AI Engineer

• Hands-on experience building or evaluating LLM systems — fine-tuning, inference, retrieval, or agents
• Familiarity with RAG architectures beyond naive vector search — HyDE, MMR, graph-based retrieval, reranking, or hybrid search
• Exposure to agent frameworks and multi-agent orchestration patterns (PydanticAI, LangGraph, AutoGen, CrewAI, or similar)
• Demonstrated ability to move quickly from idea to working prototype
• A portfolio of explored ideas — published work, technical blog posts, side projects, or OSS contributions
• Strong communication skills — can explain complex research to non-researchers clearly
• Collaborative by default; understands that research value is realized when ideas ship
  • Core: Python, agent frameworks (PydanticAI or equivalent), RAG pipeline design (embedding, retrieval, reranking), managed ML platforms (Vertex AI or equivalent)
  • Nice to have: Systems-level programming experience, familiarity with inference infrastructure (vLLM, TensorRT), experience with RLHF or fine-tuning pipelines, MCP protocol, graph databases (Neo4j)

#LI-JH

#LI-Remote

ZoomInfo (NASDAQ: GTM) is the Go-To-Market Intelligence Platform that empowers businesses to grow faster with AI-ready insights, trusted data, and advanced automation. Its solutions provide more than 35,000 companies worldwide with a complete view of their customers, making every seller their best seller.

ZoomInfo is committed to protecting your privacy when you apply for jobs with us. Please review our Job Applicant Privacy Notice for more details on how we handle your personal information.

ZoomInfo may use a software-based assessment as part of the recruitment process. More information about this tool, including the results of the most recent bias audit, is available here.

ZoomInfo is proud to be an equal opportunity employer, hiring based on qualifications, merit, and business needs, and does not discriminate based on protected status. We welcome all applicants and are committed to providing equal employment opportunities regardless of sex, race, age, color, national origin, sexual orientation, gender identity, marital status, disability status, religion, protected military or veteran status, medical condition, or any other characteristic protected by applicable law. We also consider qualified candidates with criminal histories in accordance with legal requirements.

For Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. ZoomInfo does not administer lie detector tests to applicants in any location.