Apply📍 São Paulo, Rio Grande do Sul, Rio de Janeiro, Belo Horizonte
🧭 Full-Time
🔍 Software Development
🏢 Company: TELUS Digital Brazil
- Demonstrable experience in applied AI, with a foundation in machine learning, NLP, LLMs, and statistical analysis.
- Strong understanding of the trade-offs between various generative AI models and the ability to choose the right model for specific use cases.
- Experience with data embeddings and vector databases, understanding the trade-off between available options, and leveraging it to optimize data ingestion.
- Experience in architecting and developing solutions that integrate generative AI with traditional software solutions with minimal to no oversight.
- Experience building and testing a server-side platform for API development and orchestration.
- Is proficient in the Python language and understands the trade-offs between multiple frameworks and patterns.
- Skilled in creating and adjusting prompts for complex AI systems to meet diverse project requirements.
- Familiarity with testing and evaluating AI systems using state-of-the-art methods and best practices.
- Hands-on experience deploying software on leading cloud platforms and utilizing AI tools like AWS Bedrock, Azure AI Services, and Vertex AI.
- Strong collaboration skills and ability to work alongside developers from multiple different areas.
- Ability to communicate complex AI solutions and concepts effectively to technical and non-technical stakeholders.
- Apply your knowledge of AI systems and software engineering to develop solutions that directly address and resolve business problems.
- Partner with professionals from Data Science and Data Engineering to address complex technical challenges, ensuring that the latest and most effective Data & AI techniques are being utilized.
- Take ownership of implementing and optimizing applied AI components, ensuring they meet project needs with high complexity and scale.
- Navigate and manipulate generative AI models, including (but not limited to) LLMs, to create prompts and solutions tailored to specific use cases.
- Develop and incorporate AI solutions while adhering to industry best practices, including moderation, security, monitoring, and compliance standards.
- Understand and properly apply Responsible AI concepts in all the stages of the solution.
- Lead the charge in designing, measuring, and evaluating AI model outputs, developing standard and custom metrics to ensure alignment with business objectives.
- Translate AI research and PoCs into production-ready features, delivering robust and scalable AI components that integrate seamlessly with larger systems.
- Drive the selection and application of appropriate evaluation metrics, ensuring that AI solutions are robust, unbiased, and meet all necessary performance standards.
AWSPythonArtificial IntelligenceCloud ComputingData AnalysisKubeflowMachine LearningAlgorithmsAPI testingData engineeringData StructuresREST APICI/CDDevOpsMicroservicesSoftware Engineering
Posted 1 day ago
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