Senior AI Engineer - Argentina

Posted 7 Days Ago
Be an Early Applicant
Hiring Remotely in Argentina
Remote
Senior level
Fintech • Payments • Software • Financial Services
The Role
Designs, builds, and deploys production AI features in Microsoft Azure. Responsibilities include backend services, APIs, LLM integrations through Azure OpenAI, prompt engineering, model evaluation, ML model deployment, CI/CD, monitoring, and production troubleshooting. The role collaborates with TPMs, Principal AI Engineers, and ML Engineers to deliver scalable, reliable AI-powered applications.
Summary Generated by Built In

Blanc Labs is a premier partner for global enterprises, leading the way in digitization, automation, and the development of next-generation digital products and services. Our expertise in digital transformation powers businesses to accelerate service delivery, drive customer engagement, and foster growth.

We are looking for a hands-on Senior AI Engineer in Argentina to design, build, and deliver cutting-edge AI-powered features within a Microsoft Azure environment. This role sits at the intersection of applied AI, backend engineering, and product development, and is ideal for someone who thrives on turning ideas into production-ready intelligent systems on the Microsoft stack.

Key Responsibilities

  • Build and deliver AI-powered features based on functional and technical requirements provided by TPMs and Principal AI Engineers
  • Develop end-to-end AI solutions, including backend services, APIs, and application-layer integrations, deployed on Azure App Service, Azure Functions, or AKS
  • Integrate large language models (LLMs) into production systems via Azure OpenAI Service, ensuring performance, scalability, and reliability
  • Design, test, and optimize prompts to improve output quality and consistency, using Azure AI Studio for prompt experimentation and evaluation
  • Collaborate with ML Engineers to embed models trained or fine-tuned on proprietary data — via Azure Machine Learning — into applications
  • Participate in model evaluation and validation, ensuring outputs meet quality, accuracy, and performance benchmarks
  • Support testing and deployment of AI features through CI/CD pipelines using Azure DevOps
  • Monitor AI feature performance in production using Azure Monitor and Application Insights
  • Troubleshoot and refine AI behaviours in real-world production scenarios

Qualifications

  • Strong experience in software engineering, with a focus on backend development (Python preferred)
  • Hands-on experience working with large language models, particularly through Azure OpenAI Service (GPT models via Azure)
  • Experience designing and integrating APIs and microservices on Microsoft Azure
  • Familiarity with prompt engineering and LLM optimization techniques, ideally using Azure AI Studio or similar Microsoft tooling
  • Understanding of model evaluation frameworks and performance metrics
  • Experience working with ML Engineers or deploying ML models into production environments via Azure Machine Learning
  • Knowledge of CI/CD pipelines and modern deployment practices using Azure DevOps
  • Strong problem-solving skills and ability to work in a fast-paced, collaborative environment

Nice-to-Have

  • Experience with vector databases, embeddings, and retrieval-augmented generation (RAG) using Azure AI Search
  • Exposure to fine-tuning models or working with proprietary datasets via Azure Machine Learning
  • Familiarity with the broader Microsoft Azure data and AI ecosystem (Azure Databricks, Azure Synapse, Microsoft Fabric)
  • Experience building scalable AI/ML systems in production on Azure
  • Microsoft certifications (e.g., Azure AI Engineer Associate) considered a plus

Blanc Labs is enabling a digital future. Headquartered in Toronto, we partner with clients in North & South America to digitize and automate their operations and build their next generation of digital products and services. We empower clients to enhance their digital offerings and bring creative solutions to the market faster. Learn more at www.blanclabs.com. 


Blanc Labs is an equal opportunity employer and is committed to employing in accordance with the Ontario Human Rights Code and the Accessibility for Ontarians with Disabilities Act. Accommodations within reason due to a disability or medical need are available on request for candidates taking part in the recruitment process. 

Skills Required

  • Strong software engineering experience with a focus on backend development; Python preferred
  • Hands-on experience with large language models, particularly Azure OpenAI Service
  • Experience designing and integrating APIs and microservices on Microsoft Azure
  • Familiarity with prompt engineering and LLM optimization techniques
  • Understanding of model evaluation frameworks and performance metrics
  • Experience working with ML Engineers or deploying machine learning models into production through Azure Machine Learning
  • Knowledge of CI/CD pipelines and modern deployment practices using Azure DevOps
  • Strong problem-solving skills and ability to work in a fast-paced, collaborative environment
  • Experience with vector databases, embeddings, and retrieval-augmented generation using Azure AI Search
  • Exposure to model fine-tuning or proprietary datasets through Azure Machine Learning
  • Familiarity with Azure Databricks, Azure Synapse, or Microsoft Fabric
  • Experience building scalable AI/ML systems in production on Azure
  • Microsoft certification such as Azure AI Engineer Associate
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The Company
HQ: Toronto, Ontario
330 Employees
Year Founded: 2013

What We Do

Blanc Labs enables the financial future of tomorrow. We innovate, advise, and execute on technology solutions that make enterprises ready for the future. To help companies rapidly deliver on their digital initiatives, Blanc Labs has developed expertise and bespoke solutions in a wide variety of applications, including financial services, healthcare, enterprise productivity and customer experience. Headquartered in Toronto, Blanc Labs serves the Americas through operations in Toronto, New York, Bogota and Buenos Aires. To learn more about how Blanc Labs is building a better future, visit www.blanclabs.com

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