Senior Software Engineering Analyst

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🕒 June 2

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Inmetrics

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2002

🤖 Artificial Intelligence

🤝 B2B

☁️ SaaS

Artificial Intelligence • B2B • SaaS

Inmetrics is a Brazilian technology consulting firm that specializes in digital efficiency and automation. With over 20 years of experience, it provides services such as quality engineering, performance testing, and cloud solutions, effectively integrating artificial intelligence across all its offerings. The company partners with various industries, ranging from banking to retail, ensuring that organizations optimize their operations and enhance their results through digital innovations.

📋 Description

• Intelligent Solutions Architecture: Design and implement systems that use generative AI and agentic workflows to solve clients' real business problems, focusing on time and cost savings. • Technical Leadership in the AI Chapter: Support AI governance, evaluate new market tools, and define the team's intelligent development standards. • Performance Optimization: Ensure AI solutions integrated into the existing platform (Java/GCP) are resilient, secure, scalable, and cost-effective. • Efficiency Metrics: Help measure the productivity gains generated by using GitHub Copilot and Claude Code within the development team.

🎯 Requirements

• Core: Artificial Intelligence & AI Engineering (Primary Focus) • Mastery of the AI stack on GCP: Advanced hands-on experience implementing solutions using Vertex AI, Model Garden, management and tuning of LLMs (Gemini), and semantic/vector search tools. • Agentic Workflows and Automation: Strong knowledge in designing and orchestrating autonomous AI agents (agentic workflows), including connecting LLMs to databases, external APIs, and supporting complex decision-making. • Maximizing Productivity with AI: Advanced usage and technical leadership in adopting tools like GitHub Copilot and AI assistants to optimize the team's delivery time. • Backend as Foundation: Strong experience with Java (11/17+) and Spring Boot, focusing on building the microservices and APIs required to expose, integrate, and support AI models. • Frontend Awareness (Angular 14+): Knowledge of how to consume and render AI responses in real time (data streaming, conversational interfaces / predictive UI). • Cloud & Infrastructure (GCP): Experience with scalable deployments using Cloud Run, Google Kubernetes Engine (GKE), and messaging services (Pub/Sub). • Databases: Hands-on experience with relational databases (PostgreSQL/Cloud SQL) and non-relational or vector stores (RAG structuring). • Nice-to-haves: • Claude Code Expertise: Advanced experience using and customizing Anthropic's CLI for deep automation of refactoring, testing, and navigating complex codebases. • Knowledge of Profitability and FinOps for AI: Understanding the lifecycle costs of AI solutions (cost per token, latency, choosing open vs proprietary models) to ensure project financial efficiency. • Familiarity with agent orchestration frameworks (e.g., LangChain, CrewAI, or LlamaIndex). • Active Google Cloud certification (focused on Machine Learning Engineer or Cloud Developer).

🏖️ Benefits

• Bradesco Health Plan (30% co-pay) • Bradesco Dental Plan (no employee contribution) • Life Insurance • Wellhub (Gympass) • Childcare Allowance • Special Needs Child Allowance • Payroll Loan • Private Pension Plan • Pet Benefits • SESC benefits • Conexa Telemedicine • Assistance Allowance • Meal/Food Allowance (Vouchers) • Multi-benefit Card • Medical Plan Upgrade option • We are a family-friendly company: extended maternity and paternity leave • INMaterna Program: Support program for pregnant employees • Birth kit and the book "Acontecia quando eu nascia" • Professional Development: courses available through the internal university • 100% remote or hybrid, depending on project applicability