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Senior IA Engineer

Coderio•Argentina•🌍 Remote
Contract7-15
👁️ 0 views•📝 0 applications•Posted 8/31/2026•Expires 10/30/2026
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Job Description

About Us Coderio designs and delivers scalable digital solutions for global companies. We combine strong technical expertise with a product mindset to lead complex software initiatives end-to-end.

We work with international clients, value autonomy and clear communication, and build long-term partnerships through technical excellence. 🌍 More information: This is a high-impact technical role. We are looking for a Senior AI Engineer to join our AI Engineering Core initiatives.

You will operate at the intersection of backend engineering, cloud platforms, and applied AI, building shared AI foundations that help software developers and product teams adopt Generative AI safely, observably, and efficiently.

Your primary mission is to design, build, and operate reusable AI capabilities, LLM gateways, model routing, evaluation frameworks, and guardrails across the organization. This is a hands-on execution and engineering-driven role.

You are responsible for designing, benchmarking, and deploying production-grade AI capabilities and agentic workflows directly into internal platforms and software ecosystems.

What To Expect In This Role (Responsibilities) Shared AI Foundations: Design, implement, and operate production-grade, reusable AI capabilities and services adopted by multiple engineering and product teams.

LLM Infrastructure & Gateways: Build and evolve LLM gateways, proxies, model routing mechanisms, prompt/context strategies, and agentic workflows (e. g. , LangGraph, PydanticAI, MCP).

Evaluations & Observability: Design evaluation frameworks (golden sets, LLM-as-a-judge), guardrails, and observability pipelines to measure task success, latency, security, and token costs.

Engineering Standards & Best Practices: Define standards for production AI adoption across the organization, including automated testing, versioning, context segregation, and incident response. End-to-End Delivery: Own delivery end-to-end—from problem framing and architectural design through implementat

Required Skills

AI EngineeringBackend EngineeringCloud PlatformsGenerative AILLM InfrastructureModel RoutingEvaluation FrameworksObservability PipelinesAutomated TestingVersioningContext SegregationIncident ResponseLangGraphPydanticAIMCP

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