---
title: 'Senior Agentic AI Engineer at CodeRoad'
canonical: 'https://feeny.ai/job/senior-agentic-ai-engineer-coderoad-latin-america-ybe3vpwvj770'
type: 'job'
last_seen: '2026-09-10'
---

# Senior Agentic AI Engineer at CodeRoad

- **Company:** CodeRoad
- **Location:** Latin America
- **Work type:** remote
- **Posted:** 2026-01-26
- **Last confirmed live:** 2026-09-10
- **Apply:** https://job-boards.greenhouse.io/coderoad/jobs/4110756009

## Job description

The Team

At Coderoad, we're more than just a software development company—we're your gateway to the global tech world. Whether you're looking to skill up or level up your career, we offer the challenges you’ve been searching for.

We provide end-to-end software development services and give you the opportunity to work on exciting, real-world projects in a supportive environment. Whether it's staff augmentation, dedicated IT teams, or general software engineering, we have opportunities for everyone to challenge themselves and take their career to the next level!

Position Location - Latam (Remote). Time Zone Requirements - This team operates on the East/West Coast time zones.

## Key Responsibilities

- Design, build, and deploy agentic AI prototypes end-to-end to enhance the company’s procurement platform and related products.

- Architect and implement agent-based systems using AWS-native services, with a strong focus on Amazon Bedrock, AgentCore and Amazon Strands SDK.

- Translate business and product needs into scalable agentic architectures, validating ideas quickly through working prototypes.

- Develop high-quality, production-ready code primarily in Python, following best engineering practices.

- Collaborate closely with Product, Engineering, and Data teams to integrate agentic solutions into existing systems.

- Leverage data science and ML concepts to improve decision-making, automation, and intelligence within agent workflows.

- Support deployment, monitoring, and iteration of agentic solutions using CI/CD pipelines and AWS DevOps practices.

- Continuously evaluate emerging agentic frameworks, tools, and AWS capabilities to keep solutions cutting-edge.

## Requirements

- Proven hands-on experience designing and implementing Agentic AI architectures in real-world scenarios. Proven experience designing and implementing enterprise-grade architectures is required.

- Strong experience working in AWS environments, including deep knowledge of Amazon Bedrock, AgentCore and Amazon Strands SDK.

- Advanced Python skills, with experience building, testing, and deploying complex systems.

- Solid background in Data Science / Machine Learning, including working with models, data pipelines, and experimentation.

- Practical experience with CI/CD and DevOps concepts (infrastructure, deployment, monitoring), preferably in AWS.

- Experience building prototypes that evolve into production solutions—this is a hands-on builder role, not research-only.

- Ability to work autonomously, take ownership of ideas, and move fast from concept to deployment.

- Strong problem-solving mindset with the ability to connect technical decisions to business impact.

## What You’ll Love

- 100% Remote
- Holidays off
- Paid Time Off
- Health insurance assistance program
- Competitive USD compensation
- Strong team culture and collaborative environment
- Ongoing training and growth opportunities

## About CodeRoad

## Company Overview
- **One-liner**: CodeRoad is a next-generation technology execution partner that delivers nearshore software development, AI engineering, and digital transformation services through its Velocity-as-a-Service™ model.
- **Entity Type**: Private (bootstrapped / internally funded – no external funding rounds publicly disclosed)
- **Headquarters**: Not publicly disclosed; delivery hubs across 14 countries in Latin America with US-based leadership team. First delivery center opened in La Paz, Bolivia (2008).
- **Founded**: 2002
- **Founders**: Not publicly named; leadership team includes Dennis Odishoo (CEO & Partner), Todd Workman (COO & VP of Sales), Marcelo Schenone (VP of Delivery & Engineering), and Jess Young (Director of People & Culture).

## Core Business
- **Primary industries**: Software engineering services, AI engineering, digital transformation consulting, nearshore outsourcing.
- **Target customers**: Enterprise and mid-market companies (B2B) across luxury retail, financial services, automotive, and enterprise software.
- **Mission**: “Empower organizations to accelerate technology delivery through AI-ready systems and end-to-end software solutions that foster innovation, seamless integration, and measurable business impact.”

## Products & Services
- **Velocity-as-a-Service (VaaS)**: Outcome-based delivery model combining elite nearshore engineers, AI-powered development systems, and senior-led delivery pods. Measures success through execution performance and business value, not just staffing.
- **AI Engineering**: AI readiness assessments, agentic workflows, production deployment of AI/ML models, and AI-native delivery – built with secure-by-design governance (SOC2, HIPAA, PCI-DSS).
- **Nearshore Software Development**: Senior-led pods operating in U.S. time zones, providing full-stack, backend, frontend, mobile, DevOps, data engineering, and QA automation.
- **Digital Transformation**: Modernization of legacy systems, platform migration, and strategic execution of large-scale transformation programs with embedded architects and product leaders.

## Market Standing
- **Valuation / Funding**: Not publicly available (no disclosed valuation or funding rounds).
- **Key Metrics**: 
  - Client satisfaction rating: 4.8/5
  - Client retention: over 80% of clients stay beyond 5 years
  - 20+ years of SDLC execution experience
  - Delivery footprint across 14 Latin American countries
- **Notable Clients / Partners**: Historical clients include GM, Ford, and Whirlpool (from early supply chain platform). Current clients span luxury retail, financial services, automotive, and enterprise software (specific names not disclosed).
- **Growth Signals**: 
  - 36 active job openings as of July 2026 (Senior AI Engineer, MLOps, Delivery Director, etc.)
  - Expanding AI engineering and agentic workflow capabilities
  - Nearshore 3.0 model embedding talent, product leadership, and delivery accountability

## Competitive Advantages
- **Velocity-as-a-Service™ model** – moves from hiring to active production in weeks, not months, with outcome-based accountability.
- **Nearshore advantage** – LATAM engineers aligned to U.S. business hours, same time zone, cultural alignment, and cost efficiency.
- **Senior-led delivery pods** – experienced engineering leaders co-own delivery outcomes, not just staff augmentation.
- **Secure-by-design** – SOC2, HIPAA, and PCI-DSS built into architecture from day one, eliminating costly compliance retrofits.
- **Long-term partnerships** – over 80% retention for 5+ years demonstrates trust and consistent value delivery.
- **AI-powered SDLC** – agentic AI embedded into workflows, multi-agent systems for automation, and real-time performance dashboards.

## Strategic Focus
- Scaling the Velocity-as-a-Service model as the primary go-to-market offering.
- Deepening AI engineering capabilities (agentic workflows, production AI deployments, ML pipelines).
- Expanding nearshore delivery capacity across more LATAM countries while maintaining senior talent density.
- Helping enterprise clients move from AI experimentation to measurable business outcomes.
- Continuing to differentiate from traditional staff augmentation by embedding product leadership and delivery accountability.

## Why Work Here
- **Remote-first work model** – engineers can work from home across Latin America.
- **Competitive compensation**: Salaries paid in USD, plus health insurance assistance, paid vacation/holidays.
- **Career growth & learning**: Quarterly bootcamps, tech summits, mentorship programs, training and educational reimbursement.
- **High-impact projects**: Work on complex, real-world challenges for global industry leaders, building AI systems and modern platforms.
- **Culture**: “People-first” environment with a diverse global team, emphasis on collaboration and continuous innovation.
- **Senior talent density**: Opportunity to work alongside experienced engineering leaders and product managers.
- **Work schedule**: Aligned to U.S. business hours, enabling close collaboration with North American teams.

## Sources
1. [coderoad.com](https://coderoad.com/)
2. [coderoad.com/about-us](https://coderoad.com/about-us)
3. [coderoad.com/careers](https://coderoad.com/careers)
4. [job-boards.greenhouse.io/coderoad](http://job-boards.greenhouse.io/coderoad)
5. [linkedin.com/company/coderoad-inc](https://www.linkedin.com/company/coderoad-inc)

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