AI Developer – AI Innovation Cell

Posted 9ds ago

Employment Information

Education
Salary
Experience
Job Type

Report this job

Job expired or something wrong with this job?

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