AI Engineer – Specialist
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Job Description
AI Engineer designing and developing solutions based on LLMs at Grupo SysMap. Responsible for evaluating quality and implementing security measures in AI models.
Responsibilities:
- Design, develop, and optimize advanced prompts, reasoning chains (prompt chains), and multi-step flows for LLM-based solutions, ensuring consistency, accuracy, and scalability;
- Define and implement quality evaluation strategies, including automated metrics, A/B testing, internal benchmarks, and continuous analysis of production results;
- Establish safety guardrails, response standards, and control mechanisms to mitigate hallucinations, biases, and undesirable model behaviors;
- Develop and maintain prompting standards (zero-shot, few-shot, system prompts, tool use), documenting best practices and promoting reuse across teams;
- Contribute to the definition and evolution of LLM-based architectures, including RAG (when applicable), model selection, technical trade-offs, and alignment with business requirements;
- Ensure compliance with security, privacy, and data protection policies, including prevention of PII leakage, response auditing, and responsible use of AI models;
- Collaborate with product, engineering, and UX teams to integrate AI solutions into real products, ensuring good user experience, observability (logging, metrics), and reliability;
- Analyze failures, user feedback, and production data to continuously iterate on prompts, evaluations, and solution architectures;
- Stay up to date with trends and developments in the generative AI ecosystem, proposing technical improvements and innovations applicable to the business.
Requirements:
- Hands-on experience with LLMs (specify models, use cases, and outcomes);
- Prompting techniques: structuring prompts, few-shot/zero-shot approaches, and tool use;
- Evaluation: quality metrics, A/B testing, and validation datasets;
- Security and privacy: prevention of data leakage, PII protection, and related policies;
- RAG: embeddings, chunking, retrievers, vector stores, and relevance tuning;
- Product integration: APIs, chat UX, and logging/observability.
Benefits:
- N/A
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