Senior IA Engineer

Coderio; Argentina; Remote; ARS 3,000,000 - 6,000,000; Full time

Benefits offered by this job

Remote work

Collaborative international team

High autonomy

Job summary

Coderio is seeking a Senior AI Engineer to join the AI Engineering Core. You will design, build, and operate reusable AI capabilities, LLM gateways, model routing, evaluation frameworks, and guardrails across the organization.

This is a hands‑on role at the intersection of backend engineering, cloud platforms, and applied AI, delivering production‑grade AI workflows. You will work with LangGraph, MCP, and observability tools to ensure safe, observable deployment.

Qualifications

• 5+ years delivering and operating production‑grade systems in Software, AI, 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 (LangGraph, CrewAI), and MCP.
• Hands‑on experience with LLM proxies/gateways, model routing, evaluation harnesses, and AI observability tools (LangSmith, Datadog, Logfire).
• Ability to make sound architectural decisions balancing quality, latency, reliability, security, privacy, scalability, and cost.
• Advanced English proficiency (mandatory) with clear communication skills.

Responsibilities

• Design, implement, and operate production‑grade, reusable AI capabilities and services adopted by multiple teams.
• Build and evolve LLM gateways, proxies, model routing mechanisms, prompt strategies, and agentic workflows.
• Design evaluation frameworks, guardrails, and observability pipelines to measure task success, latency, security, and token costs.
• Define standards for production AI adoption, including automated testing, versioning, context segregation, and incident response.
• Own end‑to‑end delivery—from problem framing to deployment and monitoring.
• Identify high‑impact opportunities to automate internal tools and boost developer velocity.

Skills

Python

REST APIs

Microservices

Cloud services

LLMs

RAG pipelines

Agent orchestration

MCP

LLM gateways

Observability

Architecture decisions

English proficiency

Tools

LangSmith

Datadog

Logfire

Docker

Kubernetes

Terraform

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 implementation, deployment, monitoring, and continuous iteration.
• Automation & DevEx: Identify high‑impact opportunities to eliminate repetitive manual work by implementing internal tools, scripts, and intelligent workflows that boost developer velocity.

Requirements

• Software & AI Engineering Foundation: Senior‑level experience (typically 5+ years) delivering and operating production‑grade systems in Software Engineering, AI Engineering, or ML Engineering.
• Development Skills: Advanced hands‑on proficiency in Python, RESTful/async APIs, microservices, and cloud services (AWS or GCP).
• GenAI & Agentic Systems: Proven experience building reliable applications using LLMs, RAG pipelines, agent orchestration (e.g., LangGraph, CrewAI), and Model Context Protocol (MCP).
• LLM Infrastructure & Evals: Hands‑on experience with LLM proxies/gateways, model routing, evaluation harnesses, and AI observability tools (e.g., LangSmith, Datadog, Logfire).
• Architecture & Trade‑offs: Ability to make sound architectural decisions balancing quality, latency, reliability, security, privacy, scalability, and cost.
• Language & Communication: Advanced English proficiency (mandatory) with clear communication skills to collaborate effectively with cross‑functional technical stakeholders.

Nice to Have

• Experience with container orchestration (Docker, Kubernetes) and Infrastructure-as-Code (Terraform) in cloud environments.
• Experience building, scaling, or contributing to Internal Developer Platforms (IDP) or developer tooling.
• Background in prompt engineering optimization, fine‑tuning open‑source models, or custom vector database indexing.

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.

Why Join Coderio ?

Coderio , we value talent and technical excellence. We are passionate about modern engineering, high autonomy, and building solutions that make a real difference. We offer an inclusive and challenging environment where innovation is encouraged and technical leadership is valued. If you are eager to research and deploy next‑generation AI solutions that elevate engineering teams,