AI Developer (AI Innovation Cell)

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.