Hands-On AI Architect

Osolot Mexico
Visa Sponsorship Relocation
Apply
AI Summary

Design and implement intelligent systems using LLMs, RAG pipelines, and Agentic AI architectures. Develop production-ready Python services for AI systems. Collaborate with data engineering and Data Science teams to deploy AI solutions in the cloud.

Key Highlights
Design and implement AI architectures
Develop LLM-based applications
Collaborate with data engineering and Data Science teams
Key Responsibilities
Design and implement scalable AI architectures and RAG pipelines
Build and deploy LLM-based applications and agentic workflows
Develop production-ready Python services for AI systems
Integrate vector search, knowledge graphs, and enterprise data sources
Collaborate with data engineering and Data Science teams to deploy AI solutions in the cloud
Technical Skills Required
Python LangChain LangGraph RAG LLMs embeddings semantic search
Benefits & Perks
visa sponsorship
relocation support
airfare
relocation bonus
Nice to Have
Experience with FastAPI or Flask
Experience with GCP AI services and BigQuery
Experience with MLOps and production AI systems

Job Description


About the Company


Osolot Technologies is looking for a Hands-On AI Architect to design and build intelligent systems using LLMs, RAG pipelines, and Agentic AI architectures. This is a technical role — we are looking for someone who actively codes, prototypes, and deploys AI systems, not only designs architecture. If you are interested in applying, Osolot can sponsor your working visa and offers relocation support including airfare and relocation bonus.



About the Role


As a Hands-On AI Architect, you will be responsible for designing and implementing intelligent systems that leverage advanced AI technologies.



Responsibilities


  • Design and implement scalable AI architectures and RAG pipelines
  • Build and deploy LLM-based applications and agentic workflows
  • Develop production-ready Python services for AI systems
  • Integrate vector search, knowledge graphs, and enterprise data sources
  • Collaborate with data engineering and Data Science teams to deploy AI solutions in the cloud



Qualifications


  • Bachelor’s degree in Computer Science, Engineering, or related field
  • Cédula profesional (required for visa purposes)
  • 4+ years of hands-on experience building AI/ML systems



Required Skills


  • Strong Python development experience
  • Experience with LangChain, LangGraph, or similar frameworks
  • Strong understanding of RAG, LLMs, embeddings, and semantic search
  • Experience deploying AI systems in cloud environments



Preferred Skills


  • Experience with FastAPI or Flask
  • Experience with GCP AI services and BigQuery
  • Experience with MLOps and production AI systems



Pay range and compensation package


Compensation details will be discussed during the interview process.


Equal Opportunity Statement


Osolot Technologies is committed to diversity and inclusivity in the workplace.


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