Principal AI/ML Developer

Ll Oefentherapie; A distancia; MXN 1,800,000 - 2,342,000; Jornada completa

Descripción de la vacante

A prominent AI solutions provider in Mexico is seeking a Principal AI Developer to lead the design and development of innovative AI applications powered by large language models. The ideal candidate has over 8 years of experience in AI development, strong technical skills in Python and MLOps tools, and a passion for mentoring in a collaborative environment. This role offers the flexibility to work remotely while contributing to impactful projects shaping the future of AI.

Servicios

Remote work flexibility

Opportunities for mentorship

Impactful AI projects

Formación

• 8+ years in software/AI development, with 3+ years focused on LLMs or related deep learning systems.
• Hands-on experience with models such as OpenAI, Anthropic or open-source LLMs.
• Excellent communication and mentorship skills within diverse teams.

Responsabilidades

• Lead the design and development of AI applications powered by large language models.
• Architect and implement scalable applications using LLMs and optimize their performance.
• Mentor teammates and advocate for best practices in AI/ML development.

Conocimientos

Python proficiency

MLOps tools

NLP expertise

Collaborative skills

Herramientas

OCI Data Science

MLflow

Kubeflow

Descripción del empleo

Principal AI Developer

Location: Mexico (REMOTE)

About the Role:

We’re looking for highly experienced AI Developers to join our team and help shape the future of AI at Oracle. In this role, you’ll lead the design and development of advanced AI applications, particularly those powered by large language models (LLMs) and help integrate them across Oracle’s Fusion ecosystem. You’ll work on cutting‑edge problems, set engineering best practices, and collaborate with cross‑functional teams to deliver secure, scalable, and responsible AI solutions.

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.

What You’ll Do:

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: 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?

• 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.