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Senior AI Engineer (GenAI / Azure - Application Development)

1 week, 3 days ago
Latin America, United States
Full-time
Lead
AI Engineer
Software Development
Azure Databricks Generative AI MLOps Python SQL System Design
Apply Now
Devsu

Devsu

Master the Art of Digital Innovation with Devsu Learn to create digital solutions that drive change and growth. Devsu provides the tools and resources you need to master the art of digital innovation. Devsu is a technology agency that provides software...

Internet Software & Services
51-250
Founded 2010
View All Jobs 6

Description

  • Design, build, and deploy production-grade GenAI solutions such as AI agents, copilots, and RAG pipelines.
  • Own the end-to-end architecture of AI systems on Azure, including integration with enterprise data platforms and backend services.
  • Lead development of LLM-powered applications using Azure-native services and modern orchestration frameworks.
  • Implement LLMOps practices including monitoring, logging, evaluation, prompt and version management, and cost optimization.
  • Translate business requirements into technical AI solutions and scalable implementation strategies.
  • Ensure security, governance, and compliance across all AI solutions.
  • Optimize AI systems for latency, cost, and accuracy in production environments.
  • Provide technical leadership, mentor engineers, and promote best practices in system design and code quality.

Requirements

  • Proven experience as a Senior or Lead Engineer delivering production-grade AI/ML or GenAI solutions.
  • Strong hands-on expertise in Azure, including designing and deploying end-to-end AI architectures.
  • Experience with Azure AI Foundry, Azure OpenAI, and enterprise AI service integration.
  • Solid experience building AI agents using Microsoft Agent Framework or similar frameworks.
  • Strong Python experience building AI applications, APIs, and LLM-based services, not only data pipelines.
  • Strong experience with RAG architectures, prompt engineering, and LLM orchestration.
  • Experience with Databricks, Azure Data Factory, and SQL for data-driven AI solutions.
  • Hands-on experience with LLMOps or MLOps practices, including monitoring, evaluation, versioning, and deployment pipelines.
  • Strong understanding of system design, scalability, and distributed systems.
  • Proven ability to deliver measurable impact in production environments such as automation, cost savings, or performance improvements.
  • Strong communication skills for working with both technical and non-technical stakeholders.
  • Experience leading technical initiatives and mentoring engineers in a delivery-focused environment.

Benefits

  • Stable, long-term contract with opportunities for career growth.
  • Private health insurance.
  • Remote-friendly culture that supports work-life balance.
  • Continuous training, mentorship, and learning programs.
  • Free access to AI training resources and state-of-the-art AI tools.
  • Flexible PTO policy plus paid holiday days.
  • Challenging, world-class software projects for clients in the US and LatAm.
  • Collaboration with talented software engineers in a diverse work environment.

Interested in this position?

Apply directly on the company website

Apply Now

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