--- title: 'Agentic AI Engineer at CodeRoad' canonical: 'https://feeny.ai/job/agentic-ai-engineer-coderoad-latin-america-j7yzbref9x03' type: 'job' last_seen: '2026-10-15' --- # Agentic AI Engineer at CodeRoad - **Company:** CodeRoad - **Location:** Latin America - **Work type:** remote - **Posted:** 2026-09-15 - **Last confirmed live:** 2026-10-15 - **Apply:** https://job-boards.greenhouse.io/coderoad/jobs/4406476009 ## Job description ## About CodeRoad CodeRoad provides end-to-end software development services, helping businesses scale with ideal infrastructure solutions. From staff augmentation to dedicated IT teams and general software engineering, our nearshore technology services empower businesses to thrive in an ever-evolving digital landscape ## About the Role As an Agentic AI Developer, you will serve as the technical backbone of our AI engineering PODs, designing, building, and deploying production-ready AI agents and agentic workflows. You will focus on orchestrating autonomous systems using leading LLM frameworks, Retrieval-Augmented Generation (RAG), and Model Context Protocol (MCP) to seamlessly connect AI capabilities with client software ecosystems and enterprise data sources. This role is critical to transforming business requirements into scalable, secure, and reliable agentic AI solutions on AWS. Working under the guidance of senior technical leaders, you will take ownership of core agent components, building robust evaluation pipelines, establishing security guardrails, and driving continuous improvement across the full AI development lifecycle. ## Key Responsibilities - Design & Build: Develop production-grade AI agents, state management mechanisms, and multi-agent workflows using frameworks such as LangGraph, CrewAI, or Agent Development Kit (ADK). - Integrate & Orchestrate: Connect AI agents to enterprise tools, APIs, and external platforms via Model Context Protocol (MCP) and structured function calling. - Optimize Knowledge Retrieval: Implement and maintain high-performance RAG pipelines using vector databases like Pinecone or Weaviate, applying semantic search, chunking, and grounding strategies. - Evaluate & Secure: Execute automated evaluations, regression testing, task-success metrics, and safety guardrails to defend against prompt injection and sensitive-data exposure. - Deploy & Monitor: Deploy LLM applications on AWS utilizing Amazon Bedrock, while leveraging observability platforms such as LangSmith, Langtrace, or AgentOps to troubleshoot failures and optimize performance. - Collaborate & Maintain: Write clean, maintainable, and testable Python code, maintaining comprehensive technical documentation while collaborating with senior engineers, MLOps, and product teams. ## Requirements - Experience: 3+ years of professional software development experience, with direct, hands-on experience building LLM-based, RAG, or agentic AI applications. - Tech Stack: Advanced Python, AWS (Amazon Bedrock), agentic frameworks (LangGraph, CrewAI, or ADK), Vector DBs (Pinecone, Weaviate), and Model Context Protocol (MCP). - Observability & Testing: Hands-on experience testing, evaluating, and monitoring LLM execution using tools like LangSmith, Langtrace, or AgentOps. - Soft Skills: Ownership mindset, strong troubleshooting capabilities, and a collaborative approach to delivering quality software within cross-functional teams. - Language Skills: Advanced English (written and spoken) is mandatory. ## Nice to Have - Exposure to multi-agent systems and reinforcement learning concepts. - Experience building front-end AI interfaces using Chainlit, Streamlit, or React. - Familiarity with MLOps platforms like MLflow or Kubeflow. - Exposure to secondary cloud ecosystems such as Azure AI or Google Cloud Platform (GCP). ## What You’ll Love - 100% Remote: Work from anywhere in Latin America. - Holidays Off: Observe local national holidays. - Paid Time Off: Generous PTO policies for rest and personal time. - Health Insurance Assistance: Financial support for your healthcare coverage. - Competitive USD Compensation: Earn top-tier market rates pegged to the US Dollar. - Growth Opportunities: Continuous career evolution within high-impact global projects. ## 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) ## Other roles at CodeRoad - [Senior AI Product Owner](https://feeny.ai/job/senior-ai-product-owner-coderoad-latin-america-1t6nahefztan) — Latin America - [Mid Azure DevOps Engineer](https://feeny.ai/job/mid-azure-devops-engineer-coderoad-latin-america-k1es9kefh6fs) — Latin America - [Lead Agentic AI Engineer](https://feeny.ai/job/lead-agentic-ai-engineer-coderoad-united-states-xsvbcx1z5z1d) — United States - [Senior Blazor / .NET Developer](https://feeny.ai/job/senior-blazor-net-developer-coderoad-latin-america-j9xd61rwjb8t) — Latin America - [Lead Agentic AI Engineer](https://feeny.ai/job/lead-agentic-ai-engineer-coderoad-latin-america-c60n0aqprnjw) — Latin America - [Senior .Net/Blazor Developer](https://feeny.ai/job/senior-net-blazor-developer-coderoad-latin-america-t0hw8gt9jg2k) — Latin America - [Senior Data Engineer](https://feeny.ai/job/senior-data-engineer-coderoad-latin-america-wmhr82dba3bp) — Latin America - [Agentic AI Engineer](https://feeny.ai/job/agentic-ai-engineer-coderoad-latin-america-5jkpmc3jr97e) — Latin America - [Senior .NET Engineer](https://feeny.ai/job/senior-net-engineer-coderoad-latin-america-fszypd2wpnn4) — Latin America - [Senior Agentic AI Engineer](https://feeny.ai/job/senior-agentic-ai-engineer-coderoad-latin-america-70cdthm40395) — Latin America