Senior AI Engineer

This is a fully remote position, open to applicants in Brazil.

📋 Description

• Design, develop, and enhance agents and workflows utilizing MCP-based architectures.

• Construct RAG pipelines and context-retrieval systems with vector databases.

• Integrate agents with APIs, tools, and external services to implement complex workflows.

• Create agents in Python, ideally using Google ADK.

• Develop and sustain agentic workflows through DeepAgents.

• Incorporate AI models and services via Vertex AI and Gemini models.

• Establish architectural standards, reusable components, and technical governance guidelines for the platform.

• Ensure solution observability through logs, metrics, and tracing.

• Collaborate with technical teams to maintain consistent integration between AI agents and enterprise applications.

• Design solutions that align with business processes, integrations, and objectives.

• Guarantee that developed components are scalable, reusable, and ready for ongoing evolution.

• Define and implement validation and evaluation strategies for LLMs and agents using metrics, DeepEval, and LLM-as-a-Judge.

• Verity is a digital transformation and engineering consultancy that organizes technology to function, scale, and deliver real value.

⛳️ Requirements

• Extensive experience in Python development.

• Practical experience in constructing agents, intelligent workflows, and integrations with generative AI models.

• Proficient in working with DeepAgents.

• Familiarity with MCP-based architectures.

• Experience with RAG pipelines and vector databases.

• Proficient in integrating APIs, tools, and external services.

• Experience with Vertex AI and Gemini models.

• Capability to define technical standards, reusable abstractions, and engineering best practices.

• Knowledge of observability, including logs, metrics, and tracing.

• Understanding of LLM and agent validation and evaluation, including tools like DeepEval and LLM-as-a-Judge approaches.

• Ability to work collaboratively with engineering, architecture, and technical squad teams.

• Systems-level perspective to comprehend data flows, integrations, and constraints of the enterprise environment.

• Experience with enterprise AI agent platforms is advantageous.

• Experience in 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 participation in technical standardization initiatives and the evolution of internal frameworks is a plus.

• Familiarity with LLMOps practices is a plus.

• Experience with LLM and agent evaluation strategies and frameworks is a plus.

🏝️ Benefits

• Meal allowance.

• Food allowance.

• Home office allowance.

• Health insurance.

• Dental insurance.

• Life insurance.

• Birthday day off.

• Total Pass / Wellhub.

• Boon Saúde app.

• Discount partnerships.

• Discounts at participating businesses and educational institutions.

• Welcome kit.

• Onboarding.

• Verity Learning.

• Verity Break.

• #VerityComVocê.

• Access to professional development courses.

• Great Place to Work certification.