Description
Job Summary:
We are seeking a professional to design, document, and optimize prompts and conversational flows for chatbots and AI assistants, integrating Python scripts and collaborating with teams to enhance communication.
Key Highlights:
1. Work with prompts, chatbots, and conversational automations
2. Develop and test interactions with generative language models
3. Work with Python, REST APIs, and Machine Learning
Description:
* Bachelor's degree in Software Engineering, Computer Science, Artificial Intelligence, Computational Linguistics, or related fields.
* Intermediate or solid experience with prompts, chatbots, or conversational automations (Blip, Dialogflow, Twilio, Zenvia, etc.).
* Solid knowledge of Python, including consuming REST APIs, data manipulation, and basic automations.
* Practical experience with generative language models (ChatGPT, Claude, Gemini, Mistral, etc.) and Prompt Engineering principles (zero\-shot, few\-shot, chain\-of\-thought, etc.).
* Familiarity with Machine Learning and LLM concepts (tokens, embeddings, context, temperature, etc.).
* Ability to design clear, structured, and contextually consistent prompts.
* Knowledge of Git, Postman, and agile methodologies.
* Strong communication skills, analytical reasoning, and attention to detail.
Differentiators that may set you apart:
* Experience with LangChain, LlamaIndex, or Agno for agent orchestration.
* Hands-on experience with AI APIs (OpenAI, Anthropic, Gemini, Azure OpenAI, etc.).
* Basic understanding of embedding construction and semantic vectorization.
* Advanced Python experience, especially for automating pipelines, prompt ETL, or A/B testing.
* Knowledge of UX Writing and Conversational Design.
* Experience with prompt versioning (PromptOps) and best practices for documentation.
* Technical English for reading research papers and API documentation.
* Design, document, and optimize prompts and conversational flows for chatbots and AI assistants.
* Develop and test interactions with language models (GPT, Claude, Gemini, Mistral, etc.), adjusting parameters and contexts.
* Create and integrate Python scripts for automations, analyses, and connections to AI APIs.
* Collaborate with Backend, Product, and UX Writing teams to improve integrations and communication consistency.
* Analyze conversation logs, performance metrics, and feedback to evolve agents.
* Support the development of internal pipelines and tools for LLM operations (context builders, embeddings, memory, tool use).
* Document best practices, prompt standards, and guidelines for language and architecture.
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