Oracle · 1 month ago
Senior Research Engineer - Agentic AI
Oracle is building the next generation of enterprise AI products to enable intelligent data analysis at scale. They are seeking a Senior Research Engineer to lead innovation in agentic systems and efficient LLM modeling, focusing on designing and building interactive UIs for human oversight and feedback.
Data GovernanceData ManagementEnterprise SoftwareInformation TechnologySaaSSoftware
Responsibilities
Lead innovation in agentic systems, efficient LLM modeling, and human-in-the-loop experiences
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
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 to take solutions from lab to production, driving measurable outcomes and shipping globally scaled intelligent applications
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 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., TypeScript, React, design systems, data visualization), real-time collaboration, and observability
Familiarity with LLM post-training/fine-tuning, alignment, and agent orchestration to partner effectively with modeling teams
Experience visualizing and interacting with structured, tabular, graph, or time-series data
Qualification
Required
3 to 5+ years of experience in a relevant field
Solid foundation in agentic and generative AI
Deep expertise in building rich, production-grade interactive UIs for human-in-the-loop workflows
Experience taking science prototypes to production
Integrating LLM backends (streaming, caching, retrieval, tool use)
Instrumenting rigorous evaluation (offline metrics, A/B testing, rubrics)
Ensuring reliability, performance, accessibility, and security
Hands-on proficiency with modern web stacks (e.g., TypeScript, React, design systems, data visualization)
Experience with real-time collaboration and observability
Ability to design novel solutions that turn business requirements into intuitive experiences for review, feedback, and oversight
Preferred
Familiarity with LLM post-training/fine-tuning, alignment, and agent orchestration
Experience visualizing and interacting with structured, tabular, graph, or time-series data
Company
Oracle
Oracle is an integrated cloud application and platform services that sells a range of enterprise information technology solutions.
H1B Sponsorship
Oracle has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1271)
2024 (846)
2023 (995)
2022 (1192)
2021 (985)
2020 (755)
Funding
Current Stage
Public CompanyTotal Funding
$25.75BKey Investors
Sequoia Capital
2025-09-24Post Ipo Debt· $18B
2025-02-03Post Ipo Debt· $7.75B
1986-03-12IPO
Leadership Team
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