AI Engineer

• Develop user-facing interfaces in TypeScript and React, with backend services and APIs in Python or Node
• Implement agentic behavior including orchestration, tool and function calling, memory, and guardrails
• Build retrieval-augmented generation pipelines covering ingestion, chunking, embeddings, and vector and hybrid search
• Design and build agents with Gemini models, Vertex AI, the Agent Development Kit, and Agent Engine
• Implement and configure Gemini Enterprise, including Agent Designer, Inbox, and agent sandboxes
• Connect Gemini Enterprise to client application landscapes through first-party and partner connectors with permissions, governance, and auditability
• Build grounded, retrieval-backed applications with Vertex AI Search, RAG Engine, Google Search grounding, and BigQuery
• Implement agent interoperability through A2A and MCP
• Write evaluation suites and regression tests for LLM-powered features; monitor cost, latency, and quality in production
• Deploy on GCP, Azure, or AWS and maintain data pipelines feeding AI systems
• Use Claude Code, Gemini CLI, Codex, or Cursor daily with verification and review
• Communicate progress, trade-offs, and blockers to clients and project leads
• Support pre-sales when needed
• Mentor junior engineers
• Contribute to internal accelerators, reusable components, and engineering standards

Senior Deployed AI Engineer, Gemini

• Design module content for the FinTech Engineering Specialization at Jala University
• Develop labs
• Create a reference implementation
• Build an evaluation harness
• Prepare an instructor guide

Academic Content Developer – AI, Fraud Detection, Financial Systems

• Ejercer el gobierno técnico sobre el plano agéntico del proyecto montado sobre Azure AI Foundry y consumido desde AWS.
• Clasificar y defender la técnica óptima por requerimiento: LLM generativo, clasificación, propensión o motor de reglas.
• Diseñar y mantener los contratos de los agentes de dominio, incluyendo entrada, salida, autonomía y HITL.
• Administrar la política de autonomía escalonada: Informa → Sugiere → Prepara → Ejecuta.
• Garantizar que ningún agente inicie en fase de ejecución autónoma el primer día.
• Definir reglas explicables para casos sin suficiente data histórica y trazar el plan de migración hacia modelos de ML.
• Definir golden sets, umbrales de confianza y controles de sesgo por segmento y geografía en modelos predictivos críticos.
• Trabajar con Azure AI Foundry, arquitecturas AWS para orquestación e integración (EKS), RAG, embeddings, vector store corporativo gobernado y observabilidad de IA (OTLP, FinOps por transacción de tokens).

Líder Técnico de IA

• Build and maintain Unity (C#) field applications for sketching, configuring, and publishing pipe, duct, and other MEP work from jobsites
• Write production Unity code covering scene and prefab architecture, component lifecycle, input handling, UI, performance, and editor/runtime separation
• Own client-to-cloud integration, login, publishing, data synchronization, fidelity, and error handling between the Unity client and Stratus services
• Build and maintain automated Unity tests using NUnit, PlayMode integration tests, and EditMode unit tests
• Ship customer-facing enhancements across backend services, APIs, data, and web front end
• Design and build services and APIs connecting the web platform and cloud data
• Investigate and fix customer-reported bugs across client, service, and data layers
• Implement unit, integration, and end-to-end automated testing
• Contribute to monolith decomposition and modernization
• Use AI-assisted development tools and validate AI-generated changes with tests and engineering judgment
• Collaborate with product managers, designers, and customer-facing teams to define, design, scope, and ship features
• Coordinate deployments and incident response
• Advocate for incremental delivery
• Share knowledge through code reviews and pragmatic best practices

Unity Developer – AI Forward

• Create realistic, challenging coding tasks involving feature implementation and software bug fixes.
• Design tasks that reflect real-world backend engineering scenarios.
• Develop deterministic verifiers that accept reasonable valid solutions and reject incorrect outputs.
• Work with backend technologies such as Java, Node.js, Go, Rust, TypeScript, Python, C++, or similar languages.
• Evaluate code for correctness, reliability, maintainability, and performance.
• Incorporate automated testing and clear validation criteria into coding tasks.
• Identify and account for edge cases, performance bottlenecks, and potential implementation errors.
• Apply secure coding principles and cybersecurity considerations where relevant.
• Refine tasks and verification logic based on project requirements and quality standards.

AI Engineer jobs in Peru

Senior Deployed AI Engineer, Gemini

Academic Content Developer – AI, Fraud Detection, Financial Systems

Líder Técnico de IA

Unity Developer – AI Forward

Backend Software Engineer – AI Training Projects