We’re looking for an (Associate) AI Engineer who focuses on building intelligent backend systems, improving AI architecture design, and collaborating with cross-functional teams to deliver production-ready AI solutions. 

The AI Engineer will design, build, test, and evaluate AI-powered systems using Large Language Models (LLMs) and agentic orchestration frameworks. This role requires strong Python development skills, structured experimentation thinking, and solid backend and data fundamentals. 

This is not a prompt-only role. 

This is a systems engineering role within AI. 

• Design, develop, and maintain AI-powered backend systems using Python. 
• Build and orchestrate agentic workflows using LangGraph and LangChain. 
• Develop LLM-based applications for reasoning, automation, and conversational workflows.
• Design and implement Retrieval-Augmented Generation (RAG) pipelines using vector databases and embeddings. 
• Build RESTful APIs using FastAPI to expose AI services. 
• Implement structured prompt engineering methodologies and reusable evaluation frameworks.
• Design and execute structured experimentation workflows to compare AI strategies and measure performance. 
• Develop modular microservices following clean architecture principles. 
• Implement monitoring and evaluation metrics for AI system performance and reliability.
• Design data schemas and manage relational databases such as PostgreSQL or SQLite.
• Apply ELT/ETL concepts to support AI data ingestion and transformation pipelines.
• Collaborate with Data Engineers and AI Scientists to validate data quality and model outputs.
• Apply best practices in software development including version control, unit testing, CI/CD, and containerization. 
• Document architecture decisions, workflows, and technical findings. 
• Stay up to date with advancements in Generative and Agentic AI systems. 
• Uphold company mission and values through accountability, innovation, integrity, quality, and teamwork.

MUST BE LOCATED IN TIJUANA, BAJA CALIFORNIA

• Bachelor’s Degree in Computer Science, Data Science, Engineering, Mathematics, or related STEM field. 
• 1–3 years of experience building AI or ML-powered applications. 
• Strong proficiency in Python. 
• Hands-on experience with: 
• LangChain and/or LangGraph 
• LLM APIs (OpenAI, Anthropic, or similar) 
• Prompt engineering and structured evaluation 
• RAG architectures and vector-based retrieval 
• Experience building backend services using FastAPI or similar frameworks.
• Practical experience with relational databases (PostgreSQL, SQLite, or similar).
• Understanding of: 
• Data modeling and schema design 
• ELT/ETL fundamentals 
• ML evaluation techniques 
• Experimentation methodology 
• Experience with Git and collaborative development workflows. 
• Familiarity with Docker and basic cloud deployment concepts. 
• English proficiency (B2 or higher). 
• Background in Data Science or applied research. 
• Experience building multi-agent systems. 
• Familiarity with PyTorch, Hugging Face, or other ML frameworks. 
• Experience with cloud platforms (AWS, GCP, or Azure). 
• Experience designing AI monitoring or evaluation dashboards. 
• Open-source contributions, technical blogs, or research publications. 
• Experience in healthcare or life sciences environments.