Senior Technology Analyst - Generative AI and Machine Learning

Description

This professional will serve as the architect and developer of generative AI-based solutions, responsible for implementing everything from LLM orchestration to building integrated autonomous agent systems. The primary focus is transforming foundation models into secure, scalable, and functional business applications within the Google Cloud Platform. **Responsibilities and Duties** Proven experience building generative applications using Vertex AI, with emphasis on Gemini-family models and orchestration of complex systems. * **Agent Development:** Design autonomous agents capable of complex reasoning, using **Vertex AI Agent Builder** to integrate enterprise workflows. * **LLM Orchestration:** Implement chaining logic and context management to ensure accurate responses and prevent hallucinations. * **MCP Implementation:** Establish secure connections between AI models and external data repositories or third-party tools following the **Model Context Protocol** standard. * **Governance and Security:** Apply security filters, monitor token usage, and ensure compliance with the organization’s Responsible AI practices. * **A2A Integration:** Develop translation layers enabling AI models to interpret and trigger API calls (Action Handlers) for process automation. **Requirements and Qualifications** **Requirements** * Completed undergraduate degree * Availability to work in a hybrid model at our office located at Av. Nações Unidas 14261 * Advanced English proficiency for engaging with AI communities and advanced technical documentation. * An "AI\-First" mindset, rapid prototyping capability (MVP), and an ethical focus on AI security. **Technical Requirements:** **Foundational Technologies** * Vertex AI Agent Builder: Creation of low-code or API-driven intelligent agents and assistants. * Model Garden: Selection, fine-tuning, and deployment of models (Gemini, PaLM 2, Llama 3\). * Model Context Protocol (MCP): Standardized integration of LLMs with external data sources and tools. * RAG (Retrieval\-Augmented Generation) Architectures: Implementation of semantic search using Vector Search. * A2A (API\-to\-Agent): Ability to expose and consume APIs to enable agents to perform actions on legacy systems. * Orchestration Frameworks: Proficiency in LangChain, LlamaIndex, or Firebase Genkit. **Data Engineering and ML** * Fine\-tuning and Distillation: Knowledge of fine-tuning techniques (LoRA/QLoRA) and model distillation for cost efficiency. * Vector Databases: Experience with BigQuery Vector Search, AlloyDB, or databases such as Pinecone/Chroma. **Preferred Qualifications:** * Knowledge of multimodality (simultaneous processing of video, audio, and images). * Experience with grounding (anchoring responses in real-world data from Google Search or proprietary databases via BigQuery). * Familiarity with model evaluation (techniques such as *LLM\-as\-a\-judge* and custom benchmarks). * Google Cloud Professional Machine Learning Engineer certification. * Specializations focused on Generative AI (Google Cloud Skills Boost). **Additional Information** * Bradesco Health Insurance; * Bradesco Dental Insurance; * Meal Voucher (R$58.00 per day) or Food Allowance; * Transportation Voucher; * Daycare Assistance for female employees; * Life Insurance; * Medication Assistance; * Short-Term Variable Compensation \- PLR; * Private Pension Plan; * Wellhub; * Weekly onsite massage (subject to availability); * Office breakfast. We are an ecosystem powered by the collective strength of unique talents. Therefore, we value each collaborator’s role in our evolution journey, nurturing diversity of ideas and opinions while encouraging personal and professional development for everyone. #### **Our Values** **We Build the Future, Today** We look toward the future with strategic vision, constantly seeking opportunities for our ecosystem and our people. We assess context and adapt with agility, delivery capability, and innovation. We acknowledge our past and trust our business model and teams. Thus, we challenge ourselves daily and make pragmatic, bold decisions. **We Honor Our Commitments** Doing what is right is more than our obligation—it is our commitment: We build relationships of trust because we only promise what we can deliver and always honor what we commit to. We are recognized because we practice what we truly believe. We bear the profound responsibility of supporting the energy transition and food security—foundational to people and the planet—and this inspires and guides us. **We Practice Collaboration** Cooperation is our essence. We were founded as a cooperative, and the strength of our business lies in the relationships we build and sustain. Our ecosystem is formed by the sum of diverse specializations and by a genuine intention to value every individual’s contribution. We enjoy working together, asking for and offering help, and contributing to the whole. **We Are Driven by Results** We know that results enable the growth of our businesses, large-scale solutions, people development, and strengthening of ecosystem participants. Therefore, we continuously seek opportunities to improve our work—optimizing processes and pursuing time, resource, and energy efficiency across our entire value chain.