Senior AI Engineer

📋 Description

• Contribute to the architecture and implementation of production-grade AI solutions leveraging LLMs
• Design, develop, and optimize multi-step AI agents capable of tool/API invocation, reasoning
• Support the deployment and optimization of AI-powered applications across cloud environments (AWS
• Contribute to best practices for prompt engineering, evaluation frameworks, and model performance
• Implement guardrails and Responsible AI practices, including prompt injection mitigation, content
• Collaborate cross-functionally with Data Scientists, Software Engineers, and Product stakeholders

🎯 Requirements

• Degree in Computer Science, Data Science, Engineering, or related field (or equivalent practical
• Strong expertise in transformer-based models and LLM architectures.
• Proven experience designing and deploying applied machine learning or generative AI systems to
• Hands-on experience with LLM frameworks such as LangChain, LlamaIndex, OpenAI API, CrewAI, Azure
• Advanced proficiency in Python and production-grade coding practices.
• Experience with containerization, CI/CD pipelines, versioning, and cloud-native architectures.

🎁 Benefits

• Certifications in AWS (we are AWS Partners), Databricks, and Snowflake.
• Access to AI learning paths to stay up to date with the latest technologies.
• Study plans, courses, and additional certifications tailored to your role.
• Access to Udemy Business, offering thousands of courses to boost your technical and soft skills.
• English lessons to support your professional communication.
• Travel opportunities to attend industry conferences and meet clients.