AI Developer (AI Innovation Cell) at ApplaudoStudios

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.