AI Developer – AI Innovation Cell
Posted 9ds ago
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Job Description
AI Developer designing and implementing AI-powered features at Applaudo, focusing on scalable AI solutions and business impact. Collaborate across design, development, and AI to create transformative products.
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
Requirements:
- 5+ years of experience in software development
- 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)
Benefits:
- Employees can work remotely

















