Senior Research Engineer - Agentic AI

Oracle

12h

About The Position

At Oracle Analytics, we are building the next generation of enterprise AI products to enable intelligent data analysis at scale. Leveraging 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 to perform innovation in agent planning, reasoning, and the efficient implementation of multi-step reasoning agents across Oracle’s AI Data platform and intelligent applications. In this role, you will research, architect, and prototype nextgeneration agent planning and orchestration techniques (hierarchical planning, tool routing, memory, verification/critique, tree/graph search) and efficiency methods (distillation, quantization, caching, speculative decoding, retrieval) to improve latency, cost, and reliability for enterprise workloads. You will design and implement verifiable, auditable reasoning systems—spanning reasoning traces, intermediate state management, and outcome validation—to drive trustworthy outcomes in production. Partnering closely with applied scientists, research engineers, and product teams, you will take solutions from lab to production, delivering measurable impact in globally scaled intelligent applications. This role requires deep expertise in agentic and generative AI with a strong focus on planning and multi-step reasoning. Hands-on proficiency with modern ML/LLM stacks (e.g., Python, PyTorch/JAX, transformers, vector stores, orchestration frameworks) and systems performance techniques (KV-cache management, batching, routing, parallelization) is a must. Familiarity with post-training/fine-tuning (RLHF/RLAIF, DPO, PEFT), alignment and guardrails, and symbolic-neural hybrid methods is encouraged to partner effectively with modeling and platform teams. Only Oracle brings together the data, infrastructure, applications, and expertise to power everything from industry innovations to life-saving care. And with AI embedded across our products and services, we help customers turn that promise into a better future for all. Discover your potential at a company leading the way in AI and cloud solutions that impact billions of lives.

Requirements

Deep expertise in agentic and generative AI with a strong focus on planning and multi-step reasoning.
Hands-on proficiency with modern ML/LLM stacks (e.g., Python, PyTorch/JAX, transformers, vector stores, orchestration frameworks).
Hands-on proficiency with systems performance techniques (KV-cache management, batching, routing, parallelization).

Nice To Haves

Familiarity with post-training/fine-tuning (RLHF/RLAIF, DPO, PEFT).
Familiarity with alignment and guardrails.
Familiarity with symbolic-neural hybrid methods.

Responsibilities

Research, architect, and prototype next-generation agent planning and orchestration techniques (hierarchical planning, tool routing, memory, verification/critique, tree/graph search).
Develop and implement efficiency methods (distillation, quantization, caching, speculative decoding, retrieval) to improve latency, cost, and reliability for enterprise workloads.
Design and implement verifiable, auditable reasoning systems, including reasoning traces, intermediate state management, and outcome validation.
Partner with applied scientists, research engineers, and product teams to take solutions from lab to production.
Deliver measurable impact in globally scaled intelligent applications.