Applied AI Engineer (Automation)
Remote · Mexico City, Mexico City, Mexico or MX
Job Summary
Applied AI Engineer (Automation) responsible for delivering high-impact AI and automation solutions from requirements discovery through prototype and production deployment. Design, develop, and deploy AI workflows and services using Python, automation platforms (n8n/Make/Zapier or similar), and LLMs via APIs (OpenAI, IBM watsonx.ai, Amazon Bedrock). Build agentic workflows with LangChain/LangGraph; implement RAG pipelines using vector databases (e.g., Pinecone, Elasticsearch) and graph databases; ship prototypes and harden them into scalable systems; engage in discovery calls, demos, and clear communication of tradeoffs to clients and internal stakeholders; maintain production readiness with monitoring, testing, documentation, and continuous improvement. The role emphasizes collaboration with Solutions Architects, Delivery leads, and Product Managers, and requires staying current on LLM tooling and delivery best practices to drive measurable client impact.
Required Qualifications
- 3–8 years of software or AI engineering experience (mid-to-senior)
- 2–3+ years of AI Automation, Generative AI, or Agentic AI (mid-to-senior)
- Strong Python engineering skills and experience building APIs/services (e.g., FastAPI)
- Hands-on experience integrating LLMs (e.g., OpenAI APIs or equivalents)
- Experience with at least one workflow automation platform (n8n, Make, Zapier, or similar)
- Familiarity with RAG fundamentals and retrieval systems (embeddings, vector search)
- Exposure to vector databases and/or Elasticsearch
- Production engineering fundamentals: Docker, cloud deployment (AWS/GCP/Azure/IBM)
- Comfort operating in a client-facing environment: technical calls, demos, and collaborating with cross-functional stakeholders
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