Overview
job description
main objective: design, develop, and implement scalable software solutions and artificial intelligence models (including llm fine-tuning and autonomous agents) that automate processes and analyze data for the business, applying clean architecture principles, mlops for continuous deployment, and iso 27001 security standards, in collaboration with multidisciplinary teams to ensure quality, traceability, and continuous improvement.
responsibilities
* design and develop scalable applications and microservices, following clean architecture principles and design patterns oriented towards maintainability and performance.
* build, integrate, and orchestrate ai agents (llms and autonomous agents) for process automation, assisted service, and information analysis, ensuring alignment with business objectives.
* train, fine-tune, and evaluate machine learning and language models using quality metrics (e.g., accuracy, f1, latency, cost per token).
* ensure software quality through unit testing, integration testing, and a/b evaluation, as well as code reviews and adoption of secure engineering and cybersecurity standards.
* design, develop, validate, and deploy required software, connecting existing or new systems, as well as resolving problems or implementing improvements to current processes. Analyze and understand the needs of the end customer.
qualifications
* at least 2 years of ia implementation
* advanced english level is required
* ability to collaborate effectively with multidisciplinary teams.
* strong communication skills to explain technical concepts to both technical and non-technical stakeholders.
technical knowledge
* experience with scalable software architecture and web application development.
* knowledge of ai agent design, integration, and orchestration (llm / llmops).
* understanding of the ml lifecycle (mlops) including model training, evaluation, and deployment.
* strong knowledge of data structures, versioning, security, and software/api architecture.
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