Manager of Talent Acquisition with 10 years of experience in specialized recruiting areas.

Qualifications:

- Bachelor Degree in Computer Science, Artificial Intelligence, Machine Learning, Software Engineering, or a related field.
- Minimum Years of Experience: 3 years

Preferred Knowledge/Skills:

- Designing, training, and deploying machine learning models and Large Language Models (LLMs) into production environments.
- Developing scalable, cloud-native microservices using tools like Docker and Kubernetes.
- Building end-to-end AI applications integrated into web, mobile, or API-first platforms.
- Managing CI/CD pipelines and observability for AI systems using tools such as GitHub Actions and MLflow.
- Implementing vector databases, Retrieval-Augmented Generation (RAG) pipelines, and orchestration tools like LangChain and LlamaIndex.
- Building and integrating multi-agent frameworks (e.g., LangGraph, LangFlow) to enable autonomous AI task execution.
- Translating complex business problems into software-engineered AI solutions aligned with best practices.
- Deploying on cloud platforms (AWS, GCP, Azure) and leveraging services such as SageMaker, Vertex AI, or Databricks.
- Proficiency in Python and ML frameworks like PyTorch, TensorFlow, and Hugging Face Transformers.




- Collaborating in cross-functional engineering environments including front-end (React, Next.js) and platform teams.
- Familiarity with LLM providers (OpenAI, Anthropic, Meta, etc.) and working with chat/image-based model outputs.
- Hands-on experience with agent-based frameworks for intelligent orchestration.

Additional experience or qualifications considered a plus:

- Delivering AI applications using RAG, vector databases, and agent-based frameworks.
- Working with multimodal inputs/outputs (text, image, audio).
- Fine-tuning models on domain-specific data.
- Applying Responsible AI practices including governance, bias mitigation, and ethics.
- Ensuring consistency and quality in model outputs in production or regulated environments.
- Contributing to open-source projects or AI/ML publications.
- Full-stack development experience across front-end, back-end, and database layers.

Seniority level: Mid-Senior level

Employment type: Full-time

Job function: Consulting, Science, and Information Technology

Industries: IT Services and IT Consulting, Operations Consulting, and Professional Services

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📌 Mx Acceleration Center - Senior IA Engineer (Fullstack) (México)
🏢 PwC Acceleration Centers
📍 México