5 days ago
Base Salary
$87k - $187k/yr
Responsibilities
- Design and deliver secure, scalable AI software solutions for employee productivity.
- Develop AI control-plane and data-plane services, Codex integrations, memory capabilities, and model-routing components.
- Build reusable AI plugins, skills, GPT integrations, applications, backend services, APIs, and workflows.
- Integrate AI models with enterprise applications, data sources, and workflows for interoperable, multi-tenant operation.
- Implement automated testing, AI evaluations, secure coding, API lifecycle standards, and safe rollout practices.
- Diagnose complex issues across models, plugins, backend services, and integrations.
- Implement logging, monitoring, usage telemetry, observability, service-level objectives, capacity planning, and resilience improvements.
- Develop AI cost and usage intelligence, including cost attribution, forecasting, token budgets, alerts, and reporting.
- Implement model selection and usage controls that balance cost, quality, risk, and performance.
- Create technical guidance, migration guides, adoption playbooks, and shared engineering practices.
Requirements
- Bachelor of Technology or another bachelor’s degree in a specified computing, engineering, mathematics, physics, or related field.
- At least 4 years of software development experience.
- At least 4 years of experience designing and delivering backend services, APIs, distributed systems, developer platforms, or cloud services.
- At least 4 years of programming experience in Java, Python, JavaScript, Go, or another applicable language.
- Experience deploying applications on OCI, AWS, Azure, or Google Cloud.
- Experience with relational or NoSQL databases, data modeling, querying, and backend integration.
- Experience with software design, API integration, automated testing, code reviews, debugging, and secure coding.
- Experience supporting production services through logging, monitoring, observability, incident resolution, reliability improvements, and performance optimization.
- Experience collaborating with engineering, architecture, security, product, and business stakeholders.
- Preferred experience building AI-enabled applications, generative AI solutions, developer tools, enterprise productivity applications, AI plugins, GPT integrations, reusable workflows, or shared AI services.
- Preferred experience with Codex or similar AI coding tools, LLM application patterns, RAG, tool/function calling, agents, memory, evaluations, model routing, MCP servers and tools, AI security, model-access controls, and AI cost optimization.
Benefits
- US hiring range is $87,000 to $187,000 per year, with possible bonus and equity.
- Medical, dental, and vision insurance; disability and life insurance; flexible spending accounts; commuter and parking benefits; 401(k) matching; paid time off; paid holidays; paid sick leave; paid parental leave; adoption assistance; employee stock purchase plan; financial planning; group legal; and voluntary insurance benefits.
- US-based employees must complete identity verification involving collection and processing of biometric information, subject to applicable accommodations.
Categories
About Oracle
Oracle builds database technology, enterprise applications, and Oracle Cloud Infrastructure for companies and governments. Its business spans cloud subscriptions, software licenses, and support services across ERP, HCM, CX, and industry suites, plus NetSuite. Founded in 1977 and headquartered in Austin, Texas, Oracle is a public company traded on the NYSE and serves global customers migrating and running critical workloads in its cloud.