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
As a Senior Agentic AI Developer, you will serve as the technical backbone of our AI engineering initiatives, designing, building, and deploying production-ready AI agents and agentic workflows. You will architect autonomous systems leveraging cutting-edge LLM frameworks, Retrieval-Augmented Generation (RAG), and Model Context Protocol (MCP) to seamlessly connect AI agents with complex enterprise infrastructures and data ecosystems.
This role is critical to transforming business requirements into scalable, secure, and highly reliable agentic solutions on AWS. You will anchor technical execution and architectural strategy, establishing robust evaluation, observability, and human-in-the-loop guardrails while guiding nearshore development teams through the entire lifecycle of production AI deployment.
Architect & Build: Design, develop, and scale autonomous agentic workflows and multi-agent systems using LangGraph, CrewAI, or Agent Development Kit (ADK).
Anchor Cloud Infrastructure: Own the cloud deployment and security architecture of LLM-powered applications on AWS, using Amazon Bedrock and scalable microservices.
Integrate & Orchestrate: Connect AI agents to enterprise APIs, data sources, and deterministic tools via Model Context Protocol (MCP) and workflow platforms like n8n.
Optimize Knowledge Systems: Build high-performance RAG pipelines and vector database integrations using Pinecone or Weaviate to optimize contextual retrieval and reranking.
Evaluate & Secure: Implement end-to-end evaluation, guardrails, and security measures—including task-success metrics, hallucination checks, and protection against prompt injection.
Monitor & Mentor: Lead system observability using tools like LangSmith, Langtrace, or AgentOps while mentoring engineering PODs in Python and AI development best practices.
Experience: 5+ years in professional software engineering, with 2–3+ years dedicated to LLM application engineering and agentic AI systems.
Tech Stack: Advanced Python, AWS ( Amazon Bedrock), LangGraph / CrewAI, Vector DBs ( Pinecone, Weaviate), RAG architecture, and MCP integration.
Observability & Eval Tools: Hands-on experience with LangSmith, Langtrace, or AgentOps, along with evaluation frameworks for LLM groundedness and accuracy.
Soft Skills: Strong ownership mindset, technical leadership, and the ability to mentor developers and articulate complex architecture to non-technical stakeholders.
Language Skills: Advanced English (written and spoken) is mandatory.
Exposure to reinforcement learning and advanced multi-agent coordination architectures.
Hands-on experience building user-facing AI interfaces with Chainlit, Streamlit, or React
Multicloud experience with Azure AI or Google Cloud Platform (GCP).
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.
At CodeRoad, we accelerate ROI through end-to-end software engineering and technology execution.
Our Velocity-as-a-Service (VaaS) delivery engine deploys elite nearshore delivery pods and AI-ready systems that execute your technology roadmap, deliver measurable outcomes, and scale innovation with certainty.
Founded in 2002, CodeRoad pioneered nearshore engineering delivery from La Paz, Bolivia. Over two decades, we have expanded across Latin America to build a curated network of senior engineers, product leaders, and AI specialists who collaborate in real time with North American technology teams.
Through senior-led delivery pods and mature engineering frameworks, we help organizations move from strategy to execution—turning complex technology initiatives into production-ready systems without the delays that slow innovation.
Our teams support companies across industries including retail, automotive, transportation and logistics, food and beverage, financial services, and energy.
We operate across the modern technology landscape, mastering languages, frameworks, cloud platforms, and AI-enabled development environments to support next-generation digital systems.
With Velocity-as-a-Service, organizations gain the execution architecture needed to launch products faster, modernize platforms, and drive digital transformation with measurable ROI.
CodeRoad gets you there — at full velocity.
