Senior AI Engineer — Generative AI & LLM Architect

Blend

México

On-site

MXN 900,000 - 1,500,000

Full time

19 hours ago
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Benefits offered by this job

Learning opportunities
AWS/Databricks/Snowflake certs
Udemy Business access
English lessons
Mentoring and development
Career development plans
Company equipment
Flexible work options

Job summary

Blend is a premier AI services provider seeking a Senior AI Engineer to design, architect, and deploy Generative AI solutions in production. You will build LLM-based systems, agentic workflows, and AI initiatives, partnering with Engineering, Product, and MLOps teams to deliver scalable, reliable, and business-impactful results.

You bring strong Python skills, production ML experience, and leadership to bridge rapid prototyping with robust deployment, while upholding Responsible AI practices and

Qualifications

  • Degree in Computer Science, Data Science, Engineering, or related field.
  • Strong experience deploying AI systems to production.
  • Hands-on Python coding and ML model integration.

Responsibilities

  • Design production-grade AI solutions with LLMs and agents.
  • Develop tool/API invocation and reasoning chains.
  • Deploy AI apps across cloud environments (AWS/Azure/GCP).
  • Promote prompt engineering and model evaluation frameworks.
  • Implement guardrails and Responsible AI practices.
  • Collaborate with Data Scientists and Software Engineers to ship features.
  • Share knowledge to maintain high-quality Python code.

Skills

Python
LLM architectures
Production ML
Cloud/DevOps
Communication

Education

Bachelor's degree in Computer Science/Data Science/Engineering

Tools

LangChain
LlamaIndex
OpenAI API
CrewAI
Azure Prompt Flow
AWS Bedrock

Job description

Blend is a premier AI services provider seeking a Senior AI Engineer to design, architect, and deploy Generative AI solutions in production. You will build LLM-based systems, agentic workflows, and AI initiatives, partnering with Engineering, Product, and MLOps teams to deliver scalable, reliable, and business-impactful results.

You bring strong Python skills, production ML experience, and leadership to bridge rapid prototyping with robust deployment, while upholding Responsible AI practices and

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