Prompt Engineer

🕒 September 11

🇧🇷 Brazil – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

👷🏻‍♀️ Engineer

👻 Ghost score 22%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Stefanini Brasil

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1987

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

Stefanini Brasil is a leading provider of digital transformation solutions, offering a range of services including artificial intelligence, cybersecurity, cloud enablement, and consulting. With over 35 years of experience, the company focuses on integrating innovative technologies to help organizations enhance their operations and customer experiences across various industries. Their expertise extends to sectors like healthcare, retail, and industrial goods, enabling businesses to optimize processes and drive value through technology.

📋 Description

• Create, test, and optimize prompts for text, image, audio, and multimodal models • Develop simple, chained, parameterized, and tool-use-oriented prompts • Design structures for personas, context, few-shot prompting, structured reasoning, classification, extraction, generation, function calling, APIs, and information retrieval • Create reusable libraries of prompts, templates, and AI components • Adapt prompts to different models, providers, languages, and use cases • Translate product and business requirements into LLM-based solutions • Participate in building agents, chatbots, copilots, and intelligent automations • Design conversational and decision-making flows • Integrate AI models with APIs, databases, enterprise systems, and external tools • Work with RAG architectures, tool-using agents, multi-step workflows, conversational memory, classification, and routing • Create test suites and benchmarks to evaluate prompts • Define metrics for accuracy, relevance, consistency, completeness, hallucination rate, format adherence, latency, and cost per execution • Compare models and prompting strategies; conduct standard, edge-case, ambiguous, and adversarial testing • Implement continuous evaluation in production; analyze failures and adjust prompts, contexts, data, and validation rules • Identify and mitigate risks related to prompt injection, information leakage, inappropriate content, unauthorized responses, tool misuse, and data exposure • Create safety instructions, refusal rules, and operational boundaries • Apply Brazil’s LGPD, privacy principles, and AI governance practices • Define mechanisms for response validation, filtering, and auditing • Support responsible AI use policies • Structure documents, metadata, and knowledge bases for AI use • Support document segmentation, indexing, and retrieval • Evaluate the quality, currency, and reliability of sources • Design structured input and output formats, especially JSON and JSON Schema • Collaborate with Product, Software Engineering, Data, Security, Legal, and business teams • Interview users and subject-matter experts; document decisions, standards, versions, and experiment results • Mentor engineers, analysts, and junior professionals • Communicate technical limitations, risks, and results to non-technical audiences • Monitor models in production and identify performance changes • Manage prompt and configuration versioning • Optimize cost, speed, stability, and scalability • Create fallback, human review, and error-handling mechanisms • Keep up to date with developments in models, frameworks, and generative AI techniques

🎯 Requirements

• Advanced experience with LLMs and multimodal models • Strong command of prompt engineering techniques • Knowledge of Python or another programming language • Experience with AI model APIs • Knowledge of RAG, embeddings, vector databases, and semantic search • Familiarity with agents, function calling, and workflow orchestration • Understanding of machine learning, natural language processing, and model evaluation • Experience with JSON Schema, REST APIs, databases, and distributed systems • Knowledge of observability, automated testing, and version control • Understanding of cloud computing • Knowledge of DevOps and MLOps is a plus • Experience in sectors such as Finance, Legal, Healthcare, Customer Service, or Technology is a plus • Participation in AI projects deployed to production is a plus • Experience with human evaluation and test dataset creation is a plus • Knowledge of fine-tuning, LoRA, and supervised training is a plus • Experience with LLM observability and evaluation platforms is a plus • Knowledge of AI application security is a plus • Advanced technical English is a plus • Proven track record of reducing costs, improving accuracy, or delivering measurable automation is a plus

🏖️ Benefits

• Meal or food allowance • Discounts on courses, universities, and language institutions • Stefanini Academy — a platform offering free, up-to-date online courses with certificates • Mentoring • Benefits club offering discounts on consultations and medical exams • Medical insurance • Dental insurance • Benefits and discount club with offers at leading establishments • Travel club • Pet benefits program