Senior AI Engineer - Argentina
At a glance
Senior AI Engineering role at Blanc Labs. Remote, Argentina · contract.
Pay not stated AI Engineer salary
aimlroles summary, based on the employer's posting.
What you'll do
- Build AI features from functional and technical plans supplied by technical product managers and principal AI engineers
- Create backend services, APIs and application integrations, then deploy them through Azure App Service, Functions or AKS
- Connect Azure OpenAI models to production systems and tune prompts to improve response quality and consistency
- Work with machine-learning engineers to bring Azure Machine Learning models into applications and check their results against performance benchmarks
- Support CI/CD releases, monitor live features with Azure tools, and troubleshoot behavior seen in production
What you bring
- Strong software engineering experience centered on backend development, with Python preferred
- Practical experience using large language models in production, especially through Azure OpenAI Service
- Experience building APIs and microservices on Microsoft Azure
- Knowledge of prompt optimization, model evaluation and deployment practices, including Azure DevOps
Who this fits
This senior, hands-on contractor role suits an engineer in Argentina who can build and operate AI features across backend services and product integrations. You’ll work closely with technical product managers, principal AI engineers and machine-learning engineers.
From the employer
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.