Responsibilities
- Design, build, and deploy production-grade GenAI solutions (AI agents, copilots, RAG pipelines) with a focus on scalability, reliability, and performance
- Own end-to-end architecture of AI systems on Azure, including integration with enterprise data platforms and backend services
- Lead the development of LLM-powered applications using Azure-native services and modern orchestration frameworks
- Implement LLMOps practices, including monitoring, logging, evaluation, prompt/version management, and cost optimization
- Translate business requirements into technical AI solutions and define 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 drive 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 / MLOps practices (monitoring, evaluation, versioning, deployment pipelines)
- Strong understanding of system design, scalability, and distributed systems
- Proven ability to deliver measurable impact in production environments (e.g., automation, cost savings, performance improvements)
- Strong communication skills with the ability to work with both technical and non-technical stakeholders
- Experience leading technical initiatives and mentoring engineers in a delivery-focused environment
Benefits
- A stable, long-term contract with opportunities for career growth
- Private health insurance
- A remote-friendly culture that promotes work-life balance
- Continuous training, mentorship, and learning programs to keep you at the forefront of the industry
- Free access to AI training resources and state-of-the-art AI tools to elevate your daily work
- A flexible Paid Time Off (PTO) policy as well as paid holiday days
- Challenging, world-class software projects for clients in the US and LatAm
- Collaboration with some of the most talented software engineers in Latin America and the US, in a diverse work environment
Additional Information
- Free access to AI training resources and state-of-the-art AI tools to elevate your daily work
