AI Engineer

• Design, architect, and deploy advanced Generative AI solutions in production
• Contribute to production-grade AI solutions using LLMs, transformer-based models, RAG pipelines, and agentic systems
• Design, develop, and optimize multi-step AI agents with tool/API invocation, reasoning chains, and state management
• Support deployment and optimization of AI-powered applications across AWS, Azure, or GCP
• Contribute to prompt engineering, evaluation frameworks, and model performance monitoring
• Implement guardrails and Responsible AI practices, including prompt injection mitigation, content moderation, bias reduction, and safety controls
• Collaborate with Data Scientists, Software Engineers, Product stakeholders, and MLOps teams
• Take AI solutions from prototype to full production
• Share knowledge and support engineers in developing modular, maintainable Python code
• Contribute to experimentation strategies, define KPIs, and promote data-driven decision-making

• Degree in Computer Science, Data Science, Engineering, or related field (or equivalent practical experience)
• Strong expertise in transformer-based models and LLM architectures
• Proven experience designing and deploying applied machine learning or generative AI systems to production environments
• Hands-on experience with LLM frameworks such as LangChain, LlamaIndex, OpenAI API, CrewAI, Azure Prompt Flow, AWS Bedrock Agents, or similar tools
• Advanced proficiency in Python and production-grade coding practices
• Experience with containerization, CI/CD pipelines, versioning, and cloud-native architectures
• Strong leadership skills with the ability to bridge rapid prototyping and scalable production deployment
• Excellent collaboration and communication skills, with experience working at the intersection of Data Science and Engineering

• Certifications in AWS, Databricks, and Snowflake
• Access to AI learning paths
• Study plans, courses, and additional certifications tailored to the role
• Access to Udemy Business
• English lessons
• Travel opportunities to attend industry conferences and meet clients
• Career development plans and mentorship programs
• Special day rewards for birthdays, work anniversaries, and other personal milestones
• Company-provided equipment
• Flexible working options
• Other benefits may vary according to location in LATAM