Remote - Senior Principal AI Developer

Responsibilities

LLM Application Engineering

• Architect and implement scalable applications using LLMs, focusing on prompt engineering, model customization, and performance optimization.
• Design and orchestrate agent-based solutions (e.g., using LangGraph or similar), including task decomposition, tool invocation, and setting up guardrails for safe operations.
• Develop effective RAG (retrieval-augmented generation) pipelines with robust chunking, embedding model selection, and vector store optimization.
• Structure and refine prompts, manage tool/function calling, and evaluate when to use general vs. fine-tuned models based on trade-offs like accuracy, latency, and cost.
• Build secure, scalable integrations with enterprise systems, using NL2SQL patterns and API connectivity.

AI/ML Engineering

• Design, train, and optimize machine learning models for practical, real-world use cases.
• Build end-to-end ML pipelines: data ingestion, feature engineering, model training, validation, and deployment.
• Work closely with data engineers and developers to embed ML into production systems.
• Monitor model performance and retrain as needed to maintain quality and relevance.

LLMOps & Platform Engineering

• Manage versioning for prompts, models, and pipelines; run controlled experiments (A/B tests) and deployments.
• Implement observability for agent workflows, including tracing, logging, retries, and fallback mechanisms.

Data Engineering & Feature Development

• Lead data acquisition, transformation, and feature engineering efforts to support reliable training and inference.
• Ensure clear schema definitions, metadata tracking, and lineage management.

Evaluation, Quality, and Safety

• Define and maintain rigorous evaluation processes (e.g., precision/recall, hallucination detection, business alignment).
• Implement and enforce Responsible AI practices, including privacy protection, access controls, and secure data handling.

Conversational UX & Fusion Integration

• Set standards for conversational UX, including multi-turn dialogues and natural language interfaces.
• Design AI components that integrate seamlessly into Oracle Fusion applications, promoting automation and user-centric workflows.

Thought Leadership & Collaboration

• Mentor and support teammates; advocate for best practices in AI/ML development.
• Collaborate in agile pods and influence architectural and strategic decisions across teams.
• Evaluate emerging AI technologies and run proof-of-concept experiments to drive innovation.

What We’re Looking For

• Experience: 10+ years in software/AI development, with 3+ years focused on LLMs or related deep learning systems.
• Technical Skills: Proficiency in Python (and/or Java), cloud-based data pipelines, and MLOps tools (e.g., OCI Data Science, MLflow, Kubeflow).
• LLM Expertise: Hands-on experience with models such as OpenAI, Anthropic, or open-source LLMs; familiarity with prompt engineering, fine-tuning, and deployment strategies.
• Cloud & Enterprise Experience: Experience integrating AI into enterprise cloud ecosystems. Oracle Cloud/Fusion experience is a strong plus.
• NLP & Conversational AI: Deep understanding of NLP, conversational systems, and dialog design.
• Responsible AI: Proven ability to design AI systems with safety, fairness, and governance in mind.
• Collaboration: Excellent communication and mentorship skills; thrives in cross-functional, diverse teams.

Why Join Us

• Shape the future of AI at Oracle and influence global-scale business applications.
• Work with a talented, inclusive, and innovative team on impactful AI projects.
• Contribute to solutions that are immediately deployed across Oracle’s AI offerings.
• Enjoy the flexibility of working remotely or from a hub, with a focus on work-life balance.
• Tackle diverse and complex challenges with the support of world-class engineers and scientists.

Benefits (US Specific)

• 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.

Preferred Qualifications (Nice to Have)

• We encourage applicants from all backgrounds and experiences to apply — if you’re passionate about AI and meet most of the qualifications, we want to hear from you.
• Oracle Cloud/Fusion experience is a strong plus.

Category

AI & Machine Learning