--- title: 'Lead Agentic AI Engineer at CodeRoad' canonical: 'https://feeny.ai/job/lead-agentic-ai-engineer-coderoad-latin-america-c60n0aqprnjw' type: 'job' last_seen: '2026-10-15' --- # Lead Agentic AI Engineer at CodeRoad - **Company:** CodeRoad - **Location:** Latin America - **Work type:** remote - **Posted:** 2026-10-05 - **Last confirmed live:** 2026-10-15 - **Apply:** https://job-boards.greenhouse.io/coderoad/jobs/4433393009 ## 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 the Lead Agentic AI Engineer, you will serve as the primary technical authority responsible for architecting, engineering, and operationalizing enterprise-grade autonomous agent systems integrated directly with the Salesforce platform. You will lead the implementation of stateful multi-agent workflows, leveraging frontier LLMs (with a strong emphasis on the Anthropic Claude ecosystem), Model Context Protocol (MCP), and modern orchestration engines to bridge complex business requirements with robust software engineering. This role is critical to transforming enterprise business processes by embedding safe, high-accuracy, and deterministic autonomous AI agents into Salesforce CRM, Data Cloud, and core operational systems. You will anchor the vision, evaluation pipelines, and architectural standards that allow high-throughput agentic workflows to operate securely within strict transactional boundaries and enterprise data security protocols. ## Key Responsibilities - Architect stateful multi-agent coordination graphs using LangGraph or custom DAG loops, supporting dynamic task decomposition, supervisor orchestration, human-in-the-loop escalation, and automated error recovery. - Build standardized MCP (Model Context Protocol) servers and connectors to securely expose Salesforce tools, objects, custom actions, and operational context to agent runners. - Optimize query routes and context engineering across model tiers (such as Claude Sonnet/Opus for multi-turn reasoning vs. Haiku for high-throughput utility tasks) to optimize latency, accuracy, and token spend. - Design automated evaluation harnesses (Promptfoo, Ragas, or DeepEval) integrated into CI/CD pipelines to continuously benchmark grounding, schema validity, and hallucination resistance against reference datasets. - Implement full-stack observability and defense-in-depth security using tools like LangSmith or Langfuse alongside strict input sanitization, field-level security (FLS), and automated PII scrubbing. - Lead technical delivery standards, establishing API interface contracts, specification-driven development patterns, and architectural blueprints for cross-functional engineering teams and executive stakeholders. ## Requirements - 7+ years of hands-on enterprise software engineering experience using Python, TypeScript/Node.js, Java, or Apex. - 3+ years of direct production experience building, evaluating, and scaling LLM-powered applications and autonomous multi-agent workflows. - Tech Stack: Expert proficiency with LangGraph / LangChain, Anthropic/Claude APIs (tool calling, prompt caching, Claude Code), MCP, and observability tools (LangSmith, Langfuse, or OpenTelemetry). - Evaluation Frameworks: Hands-on experience with automated LLM eval suites (Promptfoo, Ragas, or LLM-as-a-judge patterns) as automated test gates. - Ownership mindset with deep diagnostic debugging skills for isolating non-deterministic LLM behavior, context degradation, and latency bottlenecks. - Consultative Communication: Strong ability to translate complex AI mechanics into actionable architecture roadmaps for technical and non-technical stakeholders. - Advanced English: Fluent written and spoken professional English for direct client consultation. ## Nice to Have - Practical integration experience with Salesforce APIs (REST, Composite, Bulk), SOQL/SOSL, Platform Events, and Connected Apps. - Familiarity with Salesforce Data Cloud, vector search capabilities, or Agentforce architectural patterns. - Experience deploying containerized MCP servers integrated with enterprise CRM security boundaries. - Hands-on exposure to Spec-Driven Development (SDD) methodologies for AI-assisted software delivery workflows. ## What You’ll Love - 100% Remote work flexibility - National holidays off - Generous Paid Time Off (PTO) - Health insurance assistance - Competitive compensation in USD - Continuous learning and professional 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) ## 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 - [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 - [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