Senior Full Stack Software Engineer – AI Agents

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🕒 2 dias atrás

🌽 Illinois – Remoto

🌽 Illinois – Remote

⏰ Tempo Integral

🟠 Sênior

🤖 Engenheiro de IA

👻 Score fantasma 25%

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Ontrac Solutions

SiteLinkedInTodas as Vagas

11 - 50 funcionários

Fundada em 2010

🤖 Inteligência Artificial

💼 Consultoria

🤝 B2B

Artificial Intelligence • Consulting • B2B

A Ontrac Solutions é uma empresa de serviços tecnológicos com foco em IA que auxilia organizações na concepção, implementação e escalonamento de sistemas baseados em IA, arquiteturas de nuvem e integrações de plataformas empresariais. Oferecem estratégia de IA e implementação de IA generativa (incluindo RAG e busca inteligente), migração e otimização de nuvem (arquitetura multi-nuvem, Kubernetes, Terraform, GitOps e FinOps), engenharia de dados e integração, desenvolvimento de plataformas CRM/CMS/e-commerce e alocação de talentos técnicos especializados para mover a IA da experimentação para a produção. Com hubs de inovação em Chicago e Karachi, a Ontrac foca em fornecer soluções de nuvem e IA prontas para produção que impulsionam resultados empresariais mensuráveis.

Descrição

• Design the multi-agent architecture for the solution, including agent roles, delegation, tool boundaries, and state handling • Implement agents and tools with ADK, including integrations with customer and third-party systems over REST and MCP • Build the web frontend and backend services that expose the agents to users, including user workflows and APIs • Deploy agents and application services to GCP on Cloud Run and Agent Engine, with CI/CD and managed environments and releases • Build and maintain evaluation suites and feedback loops that measure agent output, surface regressions, and drive changes to prompts, tools, and agent structure • Instrument agents and services with tracing and logging for production inspection and debugging • Use Claude and multi-agent workflows to accelerate design, implementation, test generation, and code review while remaining accountable for delivered code • Deliver unit, integration, end-to-end, and agent evaluation test coverage • Participate in code reviews • Document architecture and operating procedures for the team and customer • Work closely with the technical lead, other engineers, and customer stakeholders from initial definition through final delivery

🎯 Requisitos

• Professional full stack software engineering experience, including production delivery on Google Cloud Platform • Hands-on experience building and deploying AI agents with Google's Agent Development Kit (ADK) • Bachelor's degree in Computer Science or equivalent practical experience • ADK agent development, including agent definitions, tool design, and session and state management • Design and implementation of multi-agent systems, including delegation between agents, sequential, parallel, and loop workflows, and clear boundaries for each agent's context and responsibility • Feedback loops for agent quality: evaluation sets, automated scoring of agent output, tracing, and using the results to revise prompts, tools, and agent structure • Frontend development with TypeScript and a modern component framework, including integrating a UI with agent and REST APIs, streaming responses, and authenticated sessions • Backend service and API development, including relational database design (for example PostgreSQL) with versioned schema migrations • Authentication and authorization for web applications and agent tool calls, using OAuth 2.0 / OIDC and JWT • Deployment and operation of agents and application services on GCP using Cloud Run and Agent Engine • Gemini models on Vertex AI, including prompt design, function calling, and structured output • Tool integration for agents over MCP and REST APIs • Daily use of Claude and other AI coding assistants for design, implementation, testing, and review, including running multiple agents concurrently, with the judgment to verify and correct generated output • Automated testing and CI/CD across the stack, including frontend and end-to-end tests and regression evaluation of agent behavior • Agent-to-Agent (A2A) protocol • Retrieval and grounding with Vertex AI Search or vector search • Observability for agents and services with Cloud Trace, Cloud Logging, and OpenTelemetry • Pub/Sub, Memorystore, and BigQuery • Integration of agents with Gemini Enterprise • Google Cloud Professional certifications

🏖️ Benefícios

• Contractor program • Remote work within the United States

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