AI Developer – AI Innovation Cell

This is a fully remote position, open to applicants in Mexico.

📋 Description

• Create and implement features powered by AI, including recommendations, content generation, and AI assistants.

• Develop rapid prototypes to validate user and business assumptions.

• Incorporate AI functionalities into product workflows, ensuring they are practical and scalable.

• Design and refine prompts, interaction patterns, and pipelines for AI model utilization.

• Continuously assess and enhance output quality through prompt tuning and experimentation.

• Create intelligent solutions such as recommendation systems, copilots, and automated workflows.

• Collaborate with Cloud Developers to guarantee efficient and scalable AI integrations.

• Evaluate risks, costs, and scalability associated with AI implementations.

• Stay informed about emerging AI trends and technologies to enhance solutions consistently.

⛳️ Requirements

• Over 5 years of experience in software development.

• Strong familiarity with AI-driven solutions.

• Practical experience with LLM platforms such as OpenAI, Azure OpenAI, Google Vertex AI, or AWS Bedrock.

• Solid understanding of prompt engineering techniques, including structured prompting, few-shot learning, and chain-of-thought strategies.

• Experience in integrating AI models via APIs and coordinating interactions among multiple AI services.

• Knowledge of machine learning concepts such as classification, recommendation systems, and embeddings.

• Experience in handling and preprocessing data (e.g., JSON and lightweight datasets).

• Familiarity with frameworks and tools like LangChain, LlamaIndex, and vector databases such as Pinecone or Weaviate.

• A product-oriented approach with a strong emphasis on experimentation and business impact.

• Ability to translate business requirements into scalable AI-driven solutions.

• Strong analytical skills with the capability 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 in developing AI-powered features for digital products.

🏝️ Benefits

• Employees have the option to work remotely.