**Principal AI Developer**
**Location**:Mexico (REMOTE)
**About the Role**:
**What You’ll Do**:
**LLM Application Engineering**
- 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.
**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: 8+ 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?**
- 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.

📌 Remote Principal Ai/ml Developer (México)
🏢 Oracle
📍 México