Applaudo

AI Developer – AI Innovation Cell

Applaudo

full-time

Posted on:

Location Type: Remote

Location: Mexico

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Tech Stack

AWSAzureCloud

About the role

  • 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
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
AI-driven solutionsprompt engineeringmachine learningdata preprocessingRetrieval-Augmented Generationrecommendation systemsfew-shot learningstructured promptingchain-of-thoughtfine-tuning techniques
Soft Skills
analytical thinkingproduct-oriented mindsetcollaborationinnovation balancebusiness impact focustranslating business needsexperimentation