--- title: 'Agentic AI Engineer at CodeRoad' canonical: 'https://feeny.ai/job/agentic-ai-engineer-coderoad-latin-america-5jkpmc3jr97e' type: 'job' last_seen: '2026-10-15' --- # Agentic AI Engineer at CodeRoad - **Company:** CodeRoad - **Location:** Latin America - **Work type:** remote - **Posted:** 2026-09-22 - **Last confirmed live:** 2026-10-15 - **Apply:** https://job-boards.greenhouse.io/coderoad/jobs/4414020009 ## 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 Engineer, you will serve as the technical backbone for building and scaling our production-grade multi-agent platform. Working primarily with Python and modern orchestration frameworks like LangGraph, you will design a hierarchical multi-agent layer, implement dynamic context-loading mechanisms, and integrate standardized tool-calling interfaces to transition legacy workflows into fully autonomous systems. This role is critical to optimizing our AI ecosystem's performance, token economics, and operational security. By establishing automated evaluation harnesses, robust observability stacks, and enterprise-grade security guardrails, your work will directly drive the reliability, safety, and scalable impact of high-performing AI agents across our organization. ## Key Responsibilities - Design and deploy a hierarchical multi-agent workflow using LangGraph, successfully transitioning legacy single-prompt implementations into modular agentic systems. - Build domain-specific sub-agents featuring dynamic, on-demand context loading to significantly optimize latency and token economics. - Design and integrate scalable tool-calling capabilities and standardized connectors using the Model Context Protocol (MCP). - Optimize LLM observability, reasoning traces, and cost-tracking systems by setting up and managing LangFuse. - Lead the establishment of automated evaluation harnesses and regression testing suites using tools like PromptFlow or PromptFoo against benchmark datasets. - Collaborate on implementing strict security guardrails and access controls following OWASP Top 10 standards for LLM applications. ## Requirements - 5+ years of professional software development experience, with a primary focus on Python. - 2+ years of hands-on experience building production AI agents or complex LLM workflows using LangGraph or LangChain. - Tech Stack: Strong practical experience with modern foundation models (Anthropic Claude, OpenAI, Google Gemini), open-weights models, and advanced prompt engineering techniques. - Observability & Eval: Hands-on experience with LLM observability platforms (e.g., LangFuse) and automated evaluation frameworks. - Infrastructure: Familiarity with containerized cloud environments including Azure and Docker. - Ecosystem: Hands-on experience with the Microsoft 365 Agents SDK. - Soft Skills: High ownership mindset, strong problem-solving initiative, and an empathetic, collaborative team approach. - Language: Advanced English (written and spoken) is mandatory. ## Nice to Have - Experience working with Retrieval-Augmented Generation (RAG) pipelines and vector database integrations (e.g., Pinecone, Weaviate, Qdrant). - Familiarity with enterprise AI security frameworks, data privacy compliance, and prompt injection mitigation strategies. - Exposure to serverless architectures and microservices deployments on cloud platforms. ## What You’ll Love - 100% Remote work environment. - Holidays off matching local calendar standards. - Generous Paid Time Off (PTO). - Health insurance assistance. - Competitive USD compensation. - Clear growth opportunities and continuous learning support. ## 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-j7yzbref9x03) — 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