<p></p> <h3 data-path-to-node="1">About CodeRoad</h3> <p data-path-to-node="2">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.</p> <p data-path-to-node="3">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.</p> <h3 data-path-to-node="4">Why Build Your Career at CodeRoad?</h3> <ul data-path-to-node="5"> <li> <p data-path-to-node="5,0,0"><strong data-path-to-node="5,0,0" data-index-in-node="0">High-Velocity Work & Client Exposure:</strong> We work close to the technology, teams and roadmaps that move real outcomes. Direct engagement with U.S. client teams and roadmaps.</p> </li> <li> <p data-path-to-node="5,1,0"><strong data-path-to-node="5,1,0" data-index-in-node="0">Career Continuity & Long-Term Opportunity:</strong> Your career here can outlast any single project. Continuous multi-project pipeline; long-tenure CodeRoaders.</p> </li> <li> <p data-path-to-node="5,2,0"><strong data-path-to-node="5,2,0" data-index-in-node="0">Engineering Autonomy & Technical Mastery:</strong> We invest in the skills that shape what's next. Agentic AI tools and training, Coursera Enterprise, Studio practice labs, L1-L7 Career Framework.</p> </li> <li> <p data-path-to-node="5,3,0"><strong data-path-to-node="5,3,0" data-index-in-node="0">High-Trust Employee Experience:</strong> You grow in an environment built on trust, transparency and recognition. High-touch onboarding, transparent leadership communication, community recognition, psychological safety.</p> </li> </ul> <p data-path-to-node="6"><strong data-path-to-node="6" data-index-in-node="0">Engagement Type:</strong> Full-Time / Contractor</p> <h3 data-path-to-node="7">Key Responsibilities</h3> <ul data-path-to-node="8"> <li> <p data-path-to-node="8,0,0"><strong data-path-to-node="8,0,0" data-index-in-node="0">Design & Build:</strong> Develop production-grade AI agents, state management mechanisms, and multi-agent workflows using frameworks such as <strong data-path-to-node="8,0,0" data-index-in-node="132">LangGraph</strong>, <strong data-path-to-node="8,0,0" data-index-in-node="143">CrewAI</strong>, or <strong data-path-to-node="8,0,0" data-index-in-node="154">Agent Development Kit (ADK)</strong>.</p> </li> <li> <p data-path-to-node="8,1,0"><strong data-path-to-node="8,1,0" data-index-in-node="0">Integrate & Orchestrate:</strong> Connect AI agents to enterprise tools, APIs, and external platforms via <strong data-path-to-node="8,1,0" data-index-in-node="97">Model Context Protocol (MCP)</strong> and structured function calling.</p> </li> <li> <p data-path-to-node="8,2,0"><strong data-path-to-node="8,2,0" data-index-in-node="0">Optimize Knowledge Retrieval:</strong> Implement and maintain high-performance <strong data-path-to-node="8,2,0" data-index-in-node="70">RAG</strong> pipelines using vector databases like <strong data-path-to-node="8,2,0" data-index-in-node="112">Pinecone</strong> or <strong data-path-to-node="8,2,0" data-index-in-node="124">Weaviate</strong>, applying semantic search, chunking, and grounding strategies.</p> </li> <li> <p data-path-to-node="8,3,0"><strong data-path-to-node="8,3,0" data-index-in-node="0">Evaluate & Secure:</strong> Execute automated evaluations, regression testing, task-success metrics, and safety guardrails to defend against prompt injection and sensitive-data exposure.</p> </li> <li> <p data-path-to-node="8,4,0"><strong data-path-to-node="8,4,0" data-index-in-node="0">Deploy & Monitor:</strong> Deploy LLM applications on <strong data-path-to-node="8,4,0" data-index-in-node="45">AWS</strong> utilizing <strong data-path-to-node="8,4,0" data-index-in-node="59">Amazon Bedrock</strong>, while leveraging observability platforms such as <strong data-path-to-node="8,4,0" data-index-in-node="124">LangSmith</strong>, <strong data-path-to-node="8,4,0" data-index-in-node="135">Langtrace</strong>, or <strong data-path-to-node="8,4,0" data-index-in-node="149">AgentOps</strong> to troubleshoot failures and optimize performance.</p> </li> <li> <p data-path-to-node="8,5,0"><strong data-path-to-node="8,5,0" data-index-in-node="0">Collaborate & Maintain:</strong> Write clean, maintainable, and testable <strong data-path-to-node="8,5,0" data-index-in-node="64">Python</strong> code, maintaining comprehensive technical documentation while collaborating with senior engineers, MLOps, and product teams.</p> </li> </ul> <h3 data-path-to-node="9">What You Bring</h3> <ul data-path-to-node="10"> <li> <p data-path-to-node="10,0,0"><strong data-path-to-node="10,0,0" data-index-in-node="0">Core Experience:</strong> <strong data-path-to-node="10,0,0" data