---
title: 'IA Engineer at Coderio'
canonical: 'https://feeny.ai/job/ia-engineer-coderio-argentina-hwfqe6z85z3j'
type: 'job'
last_seen: '2026-09-08'
---

# IA Engineer at Coderio

- **Company:** Coderio
- **Location:** Argentina
- **Employment:** contract
- **Work type:** remote
- **Posted:** 2026-08-27
- **Last confirmed live:** 2026-09-08
- **Apply:** https://jobs.lever.co/coderio/7d2ef93b-b4ce-4b79-9d1b-69cef6e9e284

## 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: http://coderio.com This is a high-impact technical role. We are looking for a 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? At 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, apply now.

## About Coderio

## Company Overview
- **One-liner**: Coderio is a nearshore software development and technology solutions company that builds custom software and provides dedicated engineering teams for enterprises and scale-ups.
- **Entity Type**: Private (no disclosed funding rounds)
- **Headquarters**: New York, New York, United States
- **Founded**: 2017
- **Founders**: Not publicly disclosed in available sources

## Core Business
- Primary industry: Software Development / Nearshore IT Services
- Target customers: B2B, primarily enterprises (Visa, McDonald’s, Coca‑Cola, BBVA, FedEx, IBM, Santander) and mid‑market companies
- Mission or purpose: To build the best software development company in the Americas and become the leading tech partner for enterprises in Latin America

## Products & Services
- **[Custom Software Development]**: Full‑lifecycle development of web, mobile, and enterprise applications, including MVP builds and legacy modernisation.
- **[Staff Augmentation]**: On‑demand access to a pool of 10,000+ pre‑vetted senior engineers (7+ years experience) aligned to US time zones.
- **[Managed Development Squads]**: Fully assembled, dedicated cross‑functional teams that take end‑to‑end ownership of product or platform initiatives.
- **[AI‑Enhanced Engineering]**: Integration of AI tools throughout the SDLC to accelerate delivery, reduce costs, and improve software quality.

## Market Standing
- **Valuation/Revenue**: Annual revenue estimated at **$10M** (LinkedIn, 2025); valuation not publicly disclosed.
- **Key Metric**: **93% employee retention rate**; **180+ employees** across 6 countries.
- **Notable Clients/Partners**: Visa, McDonald’s, Coca‑Cola, BBVA, FedEx, IBM, Santander.
- **Growth Signals**: Headquartered in New York with 8 offices across Latin America (Argentina, Colombia, Mexico, Peru, Chile, Uruguay); 101k+ LinkedIn followers (2.5% monthly growth); ability to assemble a squad within 7 days; continuous investment in AI‑driven development practices.

## Competitive Advantages
- Time zone alignment with US businesses via 6 nearshore delivery centres in Latin America.
- Strict vetting process ensuring only top‑tier, senior‑level engineers (7+ years of experience) enter the talent pool.
- 100% English‑proficient engineers enabling frictionless communication.
- High employee retention (93%) results in stable, deeply invested teams for clients.
- Proven methodology covering Discovery, Design & Architecture, Development, and Deployment & Support.

## Strategic Focus
- Embedding AI into every phase of the software development lifecycle to drive faster time‑to‑market and lower costs for clients.
- Scaling the nearshore talent network to meet growing enterprise demand for flexible, high‑quality engineering capacity.
- Strengthening long‑term partnerships with Fortune 500 companies while expanding into new verticals.

## Why Work Here
- **Culture & Ratings**: Employer rating of 4.8/5.0 on LinkedIn (Work‑Life: 4.8, Compensation: 4.8, Culture: 4.9, Career: 4.8).
- **Engineering Focus**: Emphasis on continuous learning, internal guilds and chapters, and exposure to the latest technologies.
- **Work Style**: Not explicitly stated if fully remote/hybrid/office; operates 8 offices in the Americas, suggesting a mix of in‑office and remote options depending on role.
- **Perks**: Not detailed in available sources, but the high retention and positive reviews indicate strong internal culture and career growth opportunities.

## Sources
1. [coderio.com/about-us](https://www.coderio.com/about-us/)
2. [coderio.com/leadership-team](https://www.coderio.com/leadership-team/)
3. [linkedin.com/company/coderio](https://www.linkedin.com/company/coderio)
4. [jobs.lever.co/coderio](https://jobs.lever.co/coderio)
5. [builtin.com/company/coderio](https://builtin.com/company/coderio)

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