Senior IA Engineer

🔥 0 minutes ago

🌐 Argentina, Uruguay, +1 more countries – Remote

🇦🇷 Argentina – Remote 🇺🇾 Uruguay – Remote 🇧🇷 Brazil – Remote

⏳ Contract/Temporary

🟠 Senior

👷🏻‍♀️ Engineer

👻 Ghost score 13%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Coderio

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2017

💼 Consulting

📦 Logistics

📣 Marketing

Consulting • Logistics • Marketing

Coderio is a nearshore software development firm that provides on-demand engineering teams, IT staff augmentation, and fully managed software outsourcing to accelerate clients' digital transformation. They deliver front-end, back-end, mobile, cloud, data science, e-commerce, and QA solutions, and operate specialized studios for Data Governance, Machine Learning & AI, and Open Banking. Coderio emphasizes enterprise-level, timezone-aligned, fully-vetted, English-proficient engineering talent for B2B customers.

📋 Description

• Design, implement, and operate production-grade, reusable AI capabilities and services adopted by multiple engineering and product teams. • Build and evolve LLM gateways, proxies, model routing mechanisms, prompt/context strategies, and agentic workflows. • Design evaluation frameworks, guardrails, and observability pipelines measuring task success, latency, security, and token costs. • Define standards for production AI adoption, including automated testing, versioning, context segregation, and incident response. • Own delivery end-to-end from problem framing and architectural design through implementation, deployment, monitoring, and continuous iteration. • Implement internal tools, scripts, and intelligent workflows to eliminate repetitive manual work and boost developer velocity. • Design, benchmark, and deploy production-grade AI capabilities and agentic workflows into internal platforms and software ecosystems.

🎯 Requirements

• Senior-level experience, typically 5+ years, delivering and operating production-grade systems in Software Engineering, AI Engineering, or ML Engineering. • Advanced hands-on proficiency in Python, RESTful/async APIs, microservices, and cloud services (AWS or GCP). • Proven experience building reliable applications using LLMs, RAG pipelines, agent orchestration (e.g., LangGraph, CrewAI), and Model Context Protocol (MCP). • Hands-on experience with LLM proxies/gateways, model routing, evaluation harnesses, and AI observability tools (e.g., LangSmith, Datadog, Logfire). • Ability to make sound architectural decisions balancing quality, latency, reliability, security, privacy, scalability, and cost. • Advanced English proficiency (mandatory). • Clear communication skills to collaborate effectively with cross-functional technical stakeholders. • Experience with container orchestration (Docker, Kubernetes) and Infrastructure-as-Code (Terraform) in cloud environments (nice to have). • Experience building, scaling, or contributing to Internal Developer Platforms (IDP) or developer tooling (nice to have). • Background in prompt engineering optimization, fine-tuning open-source models, or custom vector database indexing (nice to have).

🏖️ Benefits

• High-impact, strategic role driving shared AI foundations and internal developer adoption. • Collaborative international environment with senior technical leadership. • High autonomy to research, prototype, and implement cutting-edge GenAI workflows. • Long-term 100% remote engagement with competitive compensation and growth opportunities. • Inclusive and challenging environment where innovation is encouraged and technical leadership is valued.