**About the Role**
**Key ResponsibilitiesAI Solution Engineering**
- Design, develop, and optimize AI-powered solutions, particularly leveraging LLMs and RAG pipelines.
- Implement advanced **Prompt Engineering** strategies for effective LLM usage.
- Handle **content ingestion**, chunking, and embedding processes for retrieval systems.
- Design and integrate **guardrails** to ensure safe, ethical, and controlled AI behavior.
**Application & Infrastructure Development**
- Collaborate on infrastructure setup, CI/CD pipelines, and environment provisioning.
**Operational Excellence**
- Proactively identify and resolve issues in live systems to maintain uptime and efficiency.
**MLOps & Tooling**
- Own the end-to-end MLOps lifecycle, including model training, deployment, monitoring, and updates.
- Track **model behavior and drift** over time and implement observability metrics.
- Research, prototype, and evaluate new tools and technologies to enhance system capability.
**QualificationsMust-Have Skills**




- 3-5 years of experience in AI engineering, full-stack development.
- Strong knowledge of **AI/ML frameworks** (e.g., LangChain, Hugging Face, OpenAI, Anthropic Claude APIs).
- Solid experience in **cloud platforms** (AWS, Azure, or GCP) and infrastructure automation.
- Proficiency in **CI/CD** pipeline.
- Ability to **design for scale and resiliency** under variable load conditions.
- Familiarity with **vector databases**, content chunking, embedding models, and retrievers.
**Nice-to-Have**
- Experience with **LLMOps platforms** or **Agentic frameworks**.
- Exposure to **data privacy**, compliance frameworks, and secure AI practices.
**Soft Skills**
- Strong communication and documentation abilities.
- Passion for staying ahead of AI trends and innovations.
- Team player with proactive problem-solving capabilities.
**Experience**:
- LLM: 2 years (preferred)

📌 Ai Engineer (Monterrey)
🏢 Hurix Digital
📍 Monterrey