Engenheiro de Ia - Remoto

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CANDIDATE-SE

Vaga ofertada por parceiro do Jobbol:
Software Engineer Modular Infrastructure & AI SpecialistLocation: Remote, preferably North and Latin America timezoneType: Full Time position, but starting part timeAbout the RoleWe re seeking a highly experienced Software Engineer who thrives at the intersection of advanced web technologies and cutting-edge AI systems.
This role is ideal for someone who is both a JavaScript ecosystem expert and an AI engineering able to design robust architectures that support modern applications and intelligent automation.You ll be joining a team that values clear thinking, technical excellence, and intellectual curiosity.
We move fast, think deeply, and build systems designed to last.What You ll DoArchitect and evolve a scalable, modular infrastructure from the ground upBuild and maintain clean, well-documented public APIs (GraphQL/REST)Develop flexible data layers using tools like Prisma or equivalent ORMsDesign and integrate systems for AI agents, including local and external LLMsImplement privacy-conscious, secure AI workflowsDrive best practices in code quality, CI/CD, testing, and observabilityCollaborate closely with product and engineering teams to define AI-native infrastructureYou re a Great Fit If You Have:Deep JavaScript & Web Stack ExpertiseAdvanced experience with JavaScript frameworks (Node.js, React, Next.js)Familiarity with GraphQL (Apollo, Hasura) and RESTful API developmentKnowledge of modular architecture, monorepos, and clean service boundariesExperience with containerization (Docker) and modern DevOps practicesAdvanced AI Engineering ProficiencyHands-on experience working with LLMs (OpenAI, Claude, Mistral, local models)Familiarity with frameworks like LangChain, AutoGen, and agentic design patternsKnowledge of context engineering, fine-tuning, vector search, embeddingsUnderstanding of AI data privacy, model hosting, and local inference setupsExperience building infrastructure to support AI agents and autonomous workflowsBonus Points For Experience With:Event-driven systems (Kafka, NATS, webhooks)Content versioning, change-tracking, and audit trailsObservability and logging tools (e.g., Sentry, Datadog, Prometheus)Systems in edtech, CRM, or academic grading environmentsWhat We Value:Clear and rigorous thinkingOwnership mindset and accountabilityCuriosity about new technologies and their implicationsCollaborative spirit with strong communication skillsCommitment to building systems that are understandable, testable, and scalableHow to Apply:Send us your resume along with any relevant links (LinkedIn, GitHub, portfolio, etc.).
Let us know how your experience aligns with what we re looking for.