We are seeking a proficient AI Engineer passionate about turning AI research into tangible, effective solutions within our long-term client projects. As an AI Engineer, you will be instrumental in applying and integrating generative AI models to enhance digital products, making AI accessible and valuable in a real-world context. Responsibilities

- Apply your knowledge of AI systems and software engineering to develop solutions that solve real business problems.

- Collaborate closely with Data Science and Data Engineering professionals to address technical challenges and ensure the use of best practices in Data & AI.

- Contribute to the development and optimization of applied AI components, focusing on performance and scalability.

- Work with generative AI models, including LLMs, to design prompts and solutions tailored to specific use cases.

- Help implement AI solutions while following industry best practices for moderation, security, monitoring, and compliance.

- Apply principles of Responsible AI across all stages of the solution lifecycle.

- Support the design and measurement of model outputs, assisting in the development of standard and custom evaluation metrics to align with business objectives.

- Help translate AI research and proof-of-concepts (PoCs) into production-ready features that integrate into larger systems.





- Assist in selecting and applying appropriate evaluation metrics to ensure robustness and fairness in AI solutions.

- Analyze unstructured data (such as text, audio, and images) to extract patterns and generate actionable insights that align with business objectives.

Requirements

- Hands-on experience in applied AI, with a strong foundation in machine learning, NLP, LLMs, and statistical analysis.

- Understanding of different generative AI models and their trade-offs for various use cases.

- Experience with embeddings and vector databases, with the ability to evaluate and apply them for optimized data ingestion and retrieval.

- Proven experience in building AI-driven features that integrate with traditional software systems.

- Experience developing APIs and working with backend/orchestration platforms.

- Proficiency in Python and familiarity with relevant AI/ML libraries and frameworks.

Ability to craft and refine prompts for different AI applications.

- Knowledge of AI system testing and evaluation using up-to-date methodologies and industry best practices.

- Experience working with cloud platforms and AI tools such as AWS Bedrock, Azure AI Services, or Google Vertex AI.

- Strong collaboration skills and ability to work effectively with cross-functional teams.

- Clear and effective communication skills for both technical and non-technical stakeholders.

📌 Platform AI Engineer (Buenos Aires)
🏢 GM2
📍 Buenos Aires