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Engenheiro(a) de Prompts / Desenvolvedor(a) de Agentes de IA

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Engenheiro(a) de Prompts / Desenvolvedor(a) de Age

Job Remote Full source details
Jobgether Source published Oct 2, 2026 Verified 11 hours ago
✓ 100% verification score · Source: jobgether (lever) · Always confirm final requirements on the original source.
Complete source information imported The available role or programme description, requirements, benefits and source facts were imported from the public official endpoint and formatted for reading.
EmploymentFull-time
Work modeRemote / location-flexible

Overview

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Engenheiro(a) de Prompts / Desenvolvedor(a) de Age

Full job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Engenheiro(a) de Prompts / Desenvolvedor(a) de Agentes de IA based in Brazil. This is a fully remote opportunity focused on building and optimizing AI agents and conversational experiences. You will design prompts, instructions, and conversational flows across multiple leading LLM families. The role combines prompt engineering, agent orchestration, model evaluation, testing, and AI quality assurance. You will help establish practical standards for response quality, security, governance, and reusable AI patterns. The position offers the opportunity to work with emerging AI technologies in a collaborative product and engineering environment. You will also contribute to documentation, experimentation, and continuous improvement of AI-powered solutions. Success in this role requires strong written communication, technical curiosity, and a hands-on approach to AI experimentation.

Design and configure system prompts, instructions, and conversational workflows for AI agents, adapting them to different use cases and LLM capabilities. Evaluate and benchmark multiple LLM families, balancing response quality, cost, latency, and model-specific characteristics. Build and refine AI agents within collaborative squads, including orchestration, tool usage, and context-memory management. Define response-quality criteria and conduct structured, iterative testing to evaluate and improve AI-generated outputs. Implement guardrails, out-of-scope response handling, and mitigation strategies for risks such as prompt injection. Establish and document prompt engineering standards, versioning practices, reusable patterns, and best practices for broader team adoption. Collaborate with technical teams to publish and maintain solutions through existing Git and CI/CD workflows. Continuously investigate new AI platforms and techniques and adapt quickly to proprietary tools and evolving project requirements. Requirements Proven hands-on experience with prompt engineering in real-world projects using multiple LLM families, such as OpenAI/GPT, Anthropic/Claude, Google/Gemini, and Meta/Llama. Practical experience developing AI agents within squads, including orchestration, tool integration, and context-memory management. Experience defining metrics, test cases, and evaluation approaches for the quality and reliability of AI-generated responses. Excellent Portuguese writing skills, with strong command of clarity, grammar, precision, tone, and the ability to create concise and effective instructions. Familiarity with Git and existing CI/CD pipelines for version control and deployment. Strong adaptability and willingness to learn and operate new proprietary AI platforms and technologies. Ability to critically evaluate AI-generated content and iterate on prompts and workflows based on test results. Strong collaboration, analytical thinking, attention to detail, and curiosity about emerging AI technologies. Experience with RAG (Retrieval-Augmented Generation), particularly evaluating responses against documentary sources, is a plus. Knowledge of Python for automating LLM testing and evaluation is a plus. Experience handling sensitive data under LGPD requirements or working in healthcare environments is a plus. Benefits 100% remote work. Meal or food allowance. Discounts on courses, universities, and language institutions. Access to an online learning academy with free, regularly updated courses and certificates. Mentoring opportunities. Healthcare benefits and discounts for consultations and medical exams. Dental assistance. Employee discounts and benefits at participating establishments. Travel benefits and discounts. Pet benefits and assistance.

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