Senior Software Engineer & AI Consultant
New
J
JobgetherSoftware & AI
BrazilFull-TimeSenior
Salary not disclosed
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Job Details
- Languages
- English
- Required Skills
- AWSNode.jsPythonKubernetesPrompt EngineeringLLM
Requirements
- Strong experience in software development, prompt engineering, and integrating solutions powered by Large Language Models (LLMs).
- Advanced backend development skills using Python and Node.js.
- Hands-on experience with cloud infrastructure, including AWS services and container orchestration technologies such as Kubernetes.
- Knowledge of modern connectivity solutions, messaging platforms, and Model Context Protocol (MCP) concepts.
- Experience applying structured technical problem-solving approaches, including PDCA, incident management, and Root Cause Analysis (RCA).
- Familiarity with ticketing platforms, documentation systems, and enterprise collaboration tools.
- Ability to analyze operational data and create dashboards focused on technical performance and service quality.
- Strong communication skills with the ability to collaborate with international teams and technical stakeholders.
- Advanced English proficiency for daily interaction with global teams.
Responsibilities
- Design, develop, and implement scalable generative AI solutions, including AI agents, automation tools, and intelligent workflows that address complex business needs.
- Build and optimize AI applications using leading platforms and frameworks such as AWS Bedrock, Gemini, OpenAI SDK, and Claude AI.
- Develop Retrieval-Augmented Generation (RAG) pipelines, agentic architectures, and AI-powered systems.
- Support AI users through structured troubleshooting, incident management, and technical issue resolution using PDCA and Root Cause Analysis (RCA).
- Create internal tools, automation scripts, and custom AI agents to improve workflows, operational efficiency, and user experiences.
- Develop and maintain technical documentation, knowledge bases, and standardized resolution playbooks.
- Monitor and analyze operational performance indicators including AHT, FRT, FTR, and AI adoption metrics.
- Collaborate with cross-functional teams to translate business requirements into production-ready AI solutions.
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