NetSuite · 1 month ago
AI Applications and Innovation Engineer
United States
Full-time
Remote
Mid, Senior Level
$97K/yr - $223K/yr
6+ years expNetSuite is a world leader in cloud solutions, and they are seeking a highly experienced engineer to contribute to the design and deployment of advanced AI systems. The role involves building and optimizing AI-driven applications, evaluating AI methods for accuracy, and collaborating with cross-functional teams to scale AI offerings across enterprise environments.
Cloud ComputingComputerCRMiOSSaaSSoftware
No H1B
Responsibilities
Design, implement, and deploy AI-driven applications using STOA LLM, Oracle GenAI technologies, and agent evaluation frameworks
Build and optimize LLM-powered agents for industry-specific workflows
Implement RAG pipelines, structured outputs, and function/tool calling to enable grounded, traceable, and multi-step reasoning
Select, version, and optimize foundation models and prompt strategies to meet privacy, latency, cost, and safety objectives
Implement guardrails, uncertainty handling, human-in-the-loop processes, and evidence-grounded citations
Adapt LLMs to customer domains using prompt engineering, instruction tuning, preference optimization, and domain-specific data
Evaluate AI methods on industry-relevant datasets to ensure outputs are accurate, reliable, and trustworthy
Maintain evaluation harnesses, regression tests, and golden datasets to monitor model performance
Conduct systematic error analysis, bias assessments, red-teaming, and active learning to improve quality and close gaps
Present insights and findings to internal and external technical audiences
Integrate search and NLP technologies, including semantic search, conversational search, and summarization
Work with Oracle Vector Database and other retrieval systems to optimize AI performance
Build and optimize ETL/ELT pipelines and scalable data flows supporting domain adaptation
Ensure data security, privacy, and compliance with PHI/PII regulations across all AI workflows
Productionize AI services with CI/CD pipelines, containerization, orchestration, and autoscaling
Instrument traces, metrics, and logs across prompts, retrieval, tools, agents, and model outputs
Enforce SLAs through canary and blue-green rollouts with safe rollback procedures
Collaborate with cross-functional teams to scale AI offerings across enterprise environments
Mentor engineers and foster a culture of engineering excellence
Develop and maintain robust software toolkits in Python, Node.js, and Java to support applied scientists in building, testing, and deploying ML models and agent frameworks
Design and implement cloud-based services and APIs for model execution, orchestration, asynchronous communication, and multimodal workflows
Produce well-structured sample code and reference implementations, including integrations with LLM APIs, to promote best practices
Apply deep knowledge of algorithms, data structures, concurrent programming, and distributed systems to build high-performance and maintainable software
Partner closely with applied scientists, platform engineers, and cloud infrastructure teams to gather requirements and deliver frictionless ML workflows
Produce clear and comprehensive documentation for infrastructure, APIs, designs, troubleshooting, and best practices
Participate in code reviews, provide mentorship, incorporate feedback, and help shape engineering standards
Conduct systematic error analysis, bias assessments, red-teaming exercises, and active learning to continuously improve quality and close gaps
Stay current with emerging trends in AI infrastructure, agent frameworks, HPC systems, and cloud-native technologies; evaluate and integrate them where appropriate
Qualification
Required
Minimum of 12 years of experience in software engineering or AI/ML system development
Proven expertise in agentic workflows, LLMOps, RAG architectures, or intelligent automation
Strong experience with distributed, high-performance, or cloud-native systems
Proficiency in Python and Node.js and familiarity with modern ML/AI libraries
Experience with vector databases (Oracle Vector Database preferred)
Experience deploying AI applications/services on AWS, Azure, GCP, or OCI
Demonstrated experience in data collection, annotation, evaluation pipelines, and systematic AI model validation
Experience building 0→1 products in fast-paced, ambiguous environments
Leadership experience mentoring senior and early-career engineers or scientists
Strong communication, problem-solving, and collaboration skills
Commitment to staying current with advancements in LLMs, Generative AI, and cloud-native AI/ML technologies
Benefits
Medical, dental, and vision insurance, including expert medical opinion
Short term disability and long term disability
Life insurance and AD&D
Supplemental life insurance (Employee/Spouse/Child)
Health care and dependent care Flexible Spending Accounts
Pre-tax commuter and parking benefits
401(k) Savings and Investment Plan with company match
Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation.
11 paid holidays
Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours.
Paid parental leave
Adoption assistance
Employee Stock Purchase Plan
Financial planning and group legal
Voluntary benefits including auto, homeowner and pet insurance
Company
NetSuite
NetSuite is cloud computing company dedicated to delivering business applications over the internet.
Founded in 1998Redwood Shores, California, USA
10001+ employees
Funding
Current Stage
Public CompanyTotal Funding
$157.79MKey Investors
Meritech Capital PartnersTako VenturesStarVest Partners
2016-07-28Acquired
2007-12-20IPO
2007-02-05Secondary Market· $17.87M
Leadership Team
Brian Chess
SVP Technology and AI
E
Eli Johnson
Vice President, Global Sales Productivity
Recent News
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