Senior Research Engineer – Agentic AI

Job Description

At Oracle Analytics, we are building the next generation of enterprise AI products to enable intelligent data analysis eraging our foundational strengths in data management and enterprise software applications, we are advancing our platforms and applications by deeply embedding cutting‑edge agentic AI, generative AI, and innovations in machine learning and optimization.

Our AI and Applied Science team is seeking a highly motivated Senior Research Engineer, for our AI Data platform to lead innovation in agentic systems, efficient LLM modeling, and human-in-the-loop experiences. In this role you will research, architect, and prototype next‑generation agents (tool use, planning, orchestration) and efficiency techniques (distillation, quantization, retrieval, caching) that improve latency, cost, and quality for enterprise workloads.

You will also design and build rich, interactive UIs to enable human oversight, feedback, and troubleshooting—closing the loop between model behavior, evaluation, and product impact. Partnering closely with applied scientists, research engineers, and product teams, you will take your solutions from lab to production, driving measurable outcomes and shipping globally scaled intelligent applications.

This role requires a solid foundation in agentic and generative AI coupled with deep expertise in building rich, production‑grade interactive UIs for human-in-the-loop workflows. You will design novel solutions that turn business requirements into intuitive experiences for review, feedback, and oversight—spanning prompt/tool orchestration consoles, evaluation dashboards, trace/telemetry views, safety and guardrail configuration, and annotation/feedback loops. Demonstrated experience taking science prototypes to production is essential, including integrating LLM backends (streaming, caching, retrieval, tool use), instrumenting rigorous evaluation (offline metrics, A/B testing, rubrics), and ensuring reliability, performance, accessibility, and security.

Hands‑on proficiency with modern web stacks (e.g., Type Script, React, design systems, data visualization), real‑time collaboration, and observability is a must; familiarity with LLM post‑training/fine‑tuning, alignment, and agent orchestration is strongly preferred to partner effectively with modeling teams. Experience visualizing and interacting with structured, tabular, graph, or time‑series data is a strong plus. We’re looking for candidates who thrive in fast‑paced environments, reduce ambiguity through prototyping and user testing, and own outcomes end to end—from concept to globally scaled deployment.

• Collaborate with a team of applied scientists and research engineers to architect, develop, and evaluate innovative science solutions in response to business requirements.
• Write high quality code to power experiments and build models. Contribute to writing production model code.
• Collaborate with data engineers to provide guidelines for data collection and annotation.
• Collaborate closely with cross‑functional teams to deliver solutions into various applications and products.
• Identify new opportunities for scientific exploration and evaluate emerging technologies.
• Maintain a deep understanding of industry trends and developments in your field.

• MS in Computer Science, Mathematics, Statistics, Engineering, or a related field and experience in AI/Generative AI/Machine Learning in an industry setting.
• Publication record in first‑tier journals or conferences (e.g., ACL, EMNLP, NAACL, ICLR, NeurIPS) is a plus.
• Hands‑on development experience and a history of transitioning science solutions into successfully deployed products.
• Understanding of state‑of‑the‑art AI models for structured and unstructured data and their engineering implementations.
• Excellent problem‑solving and analytical skills.
• Strong communication skills.
• Strong knowledge of scripting languages:
  ReACT, Type Script.
• Experienced in training and fine‑tuning LLMs with Hugging Face transformers, reinforcement learning, and parameter‑efficient fine‑tuning.

Career Level – IC3

Certain US customer or client‑facing roles…