About CodeRoad
CodeRoad is a technology execution partner trusted by companies across North America since 2002. We work alongside our clients to engineer, modernize, and scale the technology that powers their businesses, combining deep technical expertise, specialized teams, and shared accountability for outcomes. Our capabilities span product engineering, platform engineering, legacy modernization, and AI engineering.
Our engineers, designers, delivery leaders, and technology specialists collaborate through Velocity Studios: specialized teams developed within CodeRoad to deliver complex technology initiatives. Being assigned to a project means you become part of a collaborative environment where you can strengthen your expertise, take ownership of meaningful work, and grow alongside experienced professionals.
Why Build Your Career at CodeRoad?
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High-Velocity Work & Client Exposure: We work close to the technology, teams and roadmaps that move real outcomes. Direct engagement with U.S. client teams and roadmaps.
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Career Continuity & Long-Term Opportunity: Your career here can outlast any single project. Continuous multi-project pipeline; long-tenure CodeRoaders.
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Engineering Autonomy & Technical Mastery: We invest in the skills that shape what's next. Agentic AI tools and training, Coursera Enterprise, Studio practice labs, L1-L7 Career Framework.
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High-Trust Employee Experience: You grow in an environment built on trust, transparency and recognition. High-touch onboarding, transparent leadership communication, community recognition, psychological safety.
Engagement Type: Full-Time / Contractor
Key Responsibilities
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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).
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Integrate & Orchestrate: Connect AI agents to enterprise tools, APIs, and external platforms via Model Context Protocol (MCP) and structured function calling.
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Optimize Knowledge Retrieval: Implement and maintain high-performance RAG pipelines using vector databases like Pinecone or Weaviate, applying semantic search, chunking, and grounding strategies.
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Evaluate & Secure: Execute automated evaluations, regression testing, task-success metrics, and safety guardrails to defend against prompt injection and sensitive-data exposure.
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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.
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Collaborate & Maintain: Write clean, maintainable, and testable Python code, maintaining comprehensive technical documentation while collaborating with senior engineers, MLOps, and product teams.
What You Bring
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Core Experience: 3+ years of professional software development experience, with direct, hands-on experience building LLM-based, RAG, or agentic AI applications.
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Technical Expertise: Mastery of advanced Python, AWS (Amazon Bedrock), agentic frameworks (LangGraph, CrewAI, or ADK), Vector DBs (Pinecone, Weaviate), and Model Context Protocol (MCP).
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Observability & QA: Hands-on experience testing, evaluating, and monitoring LLM execution using tools like LangSmith, Langtrace, or AgentOps.
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Engineering Mindset: Strong ownership mindset, analytical troubleshooting capabilities, and a collaborative approach to delivering high-impact software within cross-functional teams.
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Language Proficiency: Advanced English skills (both written and spoken) are mandatory for seamless integration with U.S. client teams.
What You’ll Love
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USA Contractor / 100% Remote (Work from anywhere in Latin America)
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Competitive Pay (USD)
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Holidays Off & Paid Time Off
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Health insurance assistance program
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Opportunity to work with high-growth US-based companies and cutting-edge tech stacks.
Ready to Build What Actually Ships?
Explore opportunities and submit your application today!