About You
You are a software engineer with strong exposure to AI-driven solutions, passionate about building intelligent features that deliver real business impact.
You are hands-on, product-oriented, and comfortable experimenting with new technologies. You enjoy translating business needs into scalable AI solutions and continuously improving outcomes through iteration and evaluation.
You Bring to Applaudo the Following Competencies
- 5+ years of experience in software development, with strong exposure to AI-driven solutions.
- Hands-on experience working with LLM platforms such as OpenAI, Azure OpenAI, Google Vertex AI, or AWS Bedrock.
- Solid knowledge of prompt engineering techniques, including structured prompting, few-shot learning, and chain-of-thought approaches.
- Experience integrating AI models through APIs and orchestrating interactions between multiple AI services.
- Understanding of machine learning concepts such as classification, recommendation systems, and embeddings.
- Experience handling and preprocessing data (e.g., JSON and lightweight datasets).
- Familiarity with frameworks and tools such as LangChain, LlamaIndex, and vector databases like Pinecone or Weaviate.
- Product-oriented mindset with a strong focus on experimentation and business impact.
- Ability to translate business needs into scalable AI-driven solutions.
- Strong analytical thinking with the ability to balance innovation and technical feasibility.
- Experience with Retrieval-Augmented Generation (RAG). (Nice to have)
- Knowledge of model evaluation techniques (e.g., quality scoring, benchmarking). (Nice to have)
- Basic experience with fine-tuning techniques or adapters. (Nice to have)
- Experience building AI-powered features for digital products. (Nice to have)
You Will Be Accountable for the Following Responsibilities:
- Design and implement AI-powered features such as recommendations, content generation, and AI assistants.
- Build rapid prototypes to validate user and business hypotheses.
- Integrate AI capabilities into product workflows, ensuring practical and scalable applications.
- Design and optimize prompts, interaction patterns, and pipelines for AI model usage.
- Continuously evaluate and improve output quality through prompt tuning and experimentation.
- Develop intelligent solutions such as recommendation systems, copilots, and automated workflows.
- Collaborate with Cloud Developers to ensure scalable and efficient AI integrations.
- Assess risks, costs, and scalability of AI implementations.
- Stay up to date with emerging AI trends and technologies to continuously improve solutions.