Verity Group is a Brazil-based digital transformation and innovation consultancy that helps enterprises turn technology strategies into working products and services. Its work spans application modernization, digital experience design, technology outsourcing, and consulting, with delivery built around modern engineering, cloud, and AI-driven methods.
The company also develops Verity Quantum, an AI orchestration platform designed to integrate and deploy AI agents. Verity Group supports B2B clients in banking, insurance, healthcare, and other industries through end-to-end engagements, from strategy and product development to implementation. Its team includes more than 200 consultants, and the company reports more than 1,000 completed projects across over 15 years of operation.
Senior AI Engineer — Remote in Brazil
Senior AI Engineer developing agents, RAG pipelines, and Vertex AI integrations for Verity’s digital consulting business. The role focuses on scalable enterprise solutions and evaluating LLMs for production applications.
Description
- Design and advance agents and workflows built on MCP-based architectures
- Create RAG pipelines and context-retrieval systems backed by vector databases
- Connect agents to APIs, tools, and external services to support complex workflows
- Develop Python-based agents, preferably with Google ADK
- Build and maintain agentic workflows with DeepAgents
- Integrate AI models and services through Vertex AI and Gemini
- Establish platform architecture standards, reusable components, and technical governance practices
- Provide observability through logging, metrics, and distributed tracing
- Work with technical teams to maintain consistent connections between AI agents and enterprise applications
- Design solutions that reflect business processes, integrations, and operational goals
- Create scalable, reusable components that can evolve continuously
- Set and apply validation and evaluation methods for LLMs and agents using metrics, DeepEval, and LLM-as-a-Judge techniques
Requirements
- Proven experience developing software with Python
- Practical experience building agents, intelligent workflows, and generative AI model integrations
- Experience working with DeepAgents
- Understanding of MCP-based architectures
- Experience developing RAG pipelines and working with vector databases
- Experience connecting applications to APIs, tools, and external services
- Experience with Vertex AI and Gemini models
- Ability to establish technical standards, reusable abstractions, and engineering best practices
- Experience implementing observability with logs, metrics, and tracing
- Understanding of LLM and agent validation and evaluation, including DeepEval and LLM-as-a-Judge methods
- Strong collaboration skills across engineering, architecture, and technical squad teams
- Systems-thinking ability to assess data flows, integrations, and constraints in enterprise environments