
AI Solutions Developer
2 semanas atrás
We are seeking an experienced AI Engineer to join our team and contribute to the development of innovative solutions using artificial intelligence. The successful candidate will have a strong background in software engineering and AI systems, with expertise in applying and integrating generative AI models to enhance digital products.
About the Role
- The ideal candidate will apply their knowledge of software engineering and AI systems to develop AI solutions that directly address and resolve business problems.
- They will implement end-to-end solutions by taking ownership of the Frontend, Backend, and AI stacks of the development.
- A strong understanding of clean coding, unit testing, and automated deployment is essential.
- The candidate will navigate and manipulate generative AI models, including large language models, to create prompts and solutions tailored to specific use cases.
- Developing and incorporating AI solutions while adhering to industry best practices, including moderation, security, and compliance standards is crucial.
- The candidate will lead the charge in designing, measuring, and evaluating Agentic AI solutions, considering functional and non-functional requirements (e.g., cost, accuracy, latency).
- Translating AI research into production-ready features, delivering robust and scalable AI components that integrate seamlessly with larger systems is key.
- Experience building and testing FullStack applications (using TypeScript/React for frontend, Python/Node.js for backend), while integrating with AI components is required.
- A strong understanding of the trade-offs between various generative AI models and the ability to choose the right model for specific use cases is essential.
- Experience with RAG, understanding the trade-off between available architectures, including embeddings, vector databases, and design patterns is necessary.
- Hands-on experience deploying software on Azure AI Services using Azure Pipelines is desirable.
- Experience with performance optimization and observability platforms is beneficial.
- Proficiency in conducting experiment tracking and implementing complex AI integrations with minimal oversight is required.
- Ability to communicate complex AI solutions and concepts effectively to technical and non-technical stakeholders is crucial.
- Familiarity with testing and evaluating AI systems using state-of-the-art methods and best practices is necessary.
- Strong collaboration skills and ability to work alongside Data Science specialists, drawing on their expertise in AI model development and fine-tuning to deliver sophisticated AI solutions is essential.
About Us
We are a company dedicated to providing innovative solutions using artificial intelligence. We believe that AI has the potential to transform industries and improve people's lives. We are looking for talented individuals who share our vision and are passionate about making a difference.
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