Senior AI Engineer

🔥 13 hours ago

🇧🇷 Brazil – Remote

⏰ Full Time

🟠 Senior

🤖 AI Engineer

👻 Ghost score 10%

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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Verity Group

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2010

💼 Consulting

🏥 Healthcare

🛡️ Insurance

Consulting • Healthcare • Insurance

<Verity Group> is a Brazil-based digital transformation and innovation consultancy that develops and accelerates products and services for enterprises using modern engineering, cloud, and AI-driven approaches. The company offers application modernization, digital experience design, technology outsourcing, and consulting services, and operates an AI orchestration platform called Verity Quantum to integrate and deploy AI agents. Verity Group serves B2B clients in banking, insurance, healthcare and other industries, has 200+ consultants and 1,000+ projects over 15+ years, and focuses on end-to-end strategy-to-execution delivery to generate measurable business value.

📋 Description

• Design, develop, and evolve agents and workflows using MCP-based architectures • Build RAG pipelines and context-retrieval mechanisms using vector databases • Integrate agents with APIs, tools, and external services to execute complex workflows • Develop agents in Python, preferably using Google ADK • Build and maintain agentic workflows using DeepAgents • Integrate AI models and services through Vertex AI and Gemini models • Define architectural standards, reusable components, and technical governance guidelines for the platform • Ensure solution observability through logs, metrics, and tracing • Partner with technical teams to ensure consistent integration between AI agents and enterprise applications • Design solutions aligned with business processes, integrations, and objectives • Ensure developed components are scalable, reusable, and ready for continuous evolution • Define and apply validation and evaluation strategies for LLMs and agents, using metrics and tools such as DeepEval and LLM-as-a-Judge approaches

🎯 Requirements

• Strong experience with Python development • Hands-on experience building agents, intelligent workflows, and integrations with generative AI models • Experience with DeepAgents • Knowledge of MCP-based architectures • Experience with RAG pipelines and vector databases • Experience integrating APIs, tools, and external services • Experience with Vertex AI and Gemini models • Ability to define technical standards, reusable abstractions, and engineering best practices • Experience with observability, including logs, metrics, and tracing • Knowledge of LLM and agent validation and evaluation, including tools such as DeepEval and LLM-as-a-Judge approaches • Ability to collaborate effectively with engineering, architecture, and technical squad teams • Systems-level perspective for understanding data flows, integrations, and enterprise environment constraints