Senior AI Engineer

🔥 0 minutes ago

🇧🇷 Brazil – Remote

⏰ Full Time

🟠 Senior

🤖 AI Engineer

👻 Ghost score 13%

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

🤖 Artificial Intelligence

🔒 Cybersecurity

Consulting • Artificial Intelligence • Cybersecurity

Verity Group is a digital transformation and innovation consulting firm that focuses on delivering real results through technology. With expertise in areas such as AI migration, hyperautomation, cybersecurity, and digital engineering, Verity Group partners with ambitious companies to develop strategic business solutions. The firm prides itself on prioritizing depth over volume, ensuring tailored services that drive efficiency and growth throughout the technology journey, from strategy to execution.

📋 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 that developed components are scalable, reusable, and prepared for continuous evolution • Define and apply validation and evaluation strategies for LLMs and agents using metrics, DeepEval, and LLM-as-a-Judge

🎯 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 • Hands-on 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 thinking to understand data flows, integrations, and enterprise environment constraints • Experience with enterprise AI agent platforms is a plus • Experience defining technical governance for AI-based solutions is a plus • Knowledge of scalable architectures focused on component reuse is a plus • Experience in complex enterprise environments is a plus • Previous involvement in technical standardization initiatives and the evolution of internal frameworks is a plus • Knowledge of LLMOps practices, agent evaluation, and the continuous operation of AI solutions is a plus • Experience with LLM and agent evaluation strategies and frameworks is a plus

🏖️ Benefits

• Meal voucher • Food allowance • Home office allowance • Health insurance • Dental insurance • Life insurance • Birthday day off • Total Pass / Wellhub • Boon Saúde app • Discount partnerships • Agreements with businesses and educational institutions • Welcome kit • Onboarding program • Verity Learning • Verity Break • #VerityWithYou • Access to professional development courses