Senior AI Engineer

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đŸ”„ 20 minutes ago

đŸ—ŁïžđŸ‡§đŸ‡·đŸ‡”đŸ‡č Portuguese Required

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Logo of GOK | Digital Innovation

GOK | Digital Innovation

201 - 500 employees

Founded 2009

đŸ’Œ Consulting

📣 Marketing

đŸ€– Artificial Intelligence

Consulting ‱ Marketing ‱ Artificial Intelligence

GOK | Digital Innovation is a Brazilian digital innovation and AI consultancy that helps companies unlock business value from artificial intelligence. The firm develops AI-driven products and platforms (including a 'No Friction AI' feedback-to-backlog SaaS), runs AI assessments and labs, and provides hybrid squads to build and scale digital solutions for startups and enterprises. GOK emphasizes AI exploration, implementation, and innovation services to drive measurable business outcomes.

📋 Description

‱ Develop autonomous agents and generative AI solutions. ‱ Build planning, execution, validation, and state-control flows. ‱ Integrate LLMs with APIs, repositories, development tools, databases, and enterprise systems. ‱ Create solutions for retrieval and utilization of technical and document context. ‱ Define technical guardrails, boundaries, and semantic isolation. ‱ Develop secure, isolated environments for executing code generated or used by agents. ‱ Build pilots applied to the software development lifecycle. ‱ Support the evolution of pilots into reusable, observable, and secure solutions. ‱ Collaborate with development, architecture, infrastructure, and security teams. ‱ Document technical decisions and contribute to defining AI engineering standards.

🎯 Requirements

‱ Strong experience in software engineering and development. ‱ Advanced Python skills, including typing, concurrency, automated testing, and clean architecture. ‱ Hands-on experience building solutions with language models. ‱ Experience with autonomous agents and multi-agent architectures. ‱ Proficiency with code-first frameworks such as LangGraph, LangChain, and CrewAI. ‱ Experience with RAG, chunking, semantic search, reranking, and vector databases. ‱ Knowledge of tool-calling and integrating LLMs with APIs and external tools. ‱ Experience with FRONT and BACK-EVAL (assertiveness, measurement, chunking, packet size, tokenization). ‱ Advanced knowledge of security and permissions, particularly RBAC-based models. ‱ Experience with Docker, containerization, and isolated execution environments. ‱ Knowledge of Git, branching, pull requests, code review, and CI/CD pipelines. ‱ Familiarity with Jira and Confluence. ‱ Understanding of end-to-end software development lifecycle. ‱ Knowledge of authentication, authorization, secret management, and protection of sensitive data. ‱ Knowledge of AWS, GCP, Oracle OCI, or Azure (products and services). ‱ Experience in FinOps

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