Senior Agentic AI Engineer

About this role

<h3 data-path-to-node="2"><span class="citation-302 citation-303 citation-end-303">About CodeRoad</span></h3> <h3 id="p-rc_9fc6ad670335fbda-22" data-path-to-node="2"></h3> <p id="p-rc_9fc6ad670335fbda-23" data-path-to-node="3"><span class="citation-300 citation-301 citation-end-301">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</span><span class="citation-300 citation-end-300"> to thrive in an ever-evolving digital landscape</span></p> <p>&nbsp;</p> <h3 data-path-to-node="4"><span class="citation-299 citation-end-299">About t</span>he Role</h3> <h3 id="p-rc_9fc6ad670335fbda-24" data-path-to-node="4"></h3> <p data-path-to-node="5">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.</p> <p data-path-to-node="6">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.</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">Architect &amp; Build:</strong> Design, develop, and scale autonomous agentic workflows and multi-agent systems using LangGraph, CrewAI, or Agent Development Kit (ADK).</p> </li> <li> <p data-path-to-node="8,1,0"><strong data-path-to-node="8,1,0" data-index-in-node="0">Anchor Cloud Infrastructure:</strong> Own the cloud deployment and security architecture of LLM-powered applications on AWS, using Amazon Bedrock and scalable microservices.</p> </li> <li> <p data-path-to-node="8,2,0"><strong data-path-to-node="8,2,0" data-index-in-node="0">Integrate &amp; Orchestrate:</strong> Connect AI agents to enterprise APIs, data sources, and deterministic tools via Model Context Protocol (MCP) and workflow platforms like n8n.</p> </li> <li> <p data-path-to-node="8,3,0"><strong data-path-to-node="8,3,0" data-index-in-node="0">Optimize Knowledge Systems:</strong> Build high-performance RAG pipelines and vector database integrations using Pinecone or Weaviate to optimize contextual retrieval and reranking.</p> </li> <li> <p data-path-to-node="8,4,0"><strong data-path-to-node="8,4,0" data-index-in-node="0">Evaluate &amp; Secure:</strong> Implement end-to-end evaluation, guardrails, and security measures—including task-success metrics, hallucination checks, and protection against prompt injection.</p> </li> <li> <p data-path-to-node="8,5,0"><strong data-path-to-node="8,5,0" data-index-in-node="0">Monitor &amp; Mentor:</strong> Lead system observability using tools like LangSmith, Langtrace, or AgentOps while mentoring engineering PODs in Python and AI development best practices.</p> </li> </ul> <h3 data-path-to-node="9">Requirements</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">Experience:</strong> 5+ years in professional software engineering, with 2–3+ years dedicated to LLM application engineering and agentic AI systems.</p> </li> <li> <p data-path-to-node="10,1,0"><strong data-path-to-node="10,1,0" data-index-in-node="0">Tech Stack:</strong> Advanced <strong data-path-to-node="10,1,0" data-index-in-node="21">Python</strong>, AWS (<strong data-path-to-node="10,1,0" data-index-in-node="34">Amazon Bedrock</strong>), LangGraph / CrewAI, Vector DBs (<strong data-path-to-node="10,1,0" data-index-in-node="83">Pinecone</strong>, <strong data-path-to-node="10,1,0" data-index-in-node="93">Weaviate</strong>), RAG architecture, and MCP integration.</p> </li> <li> <p data-path-to-node="10,2,0"><strong data-path-to-node="10,2,0" data-index-in-node="0">Observability &amp; Eval Tools:</strong> Hands-on experience with <strong data-path-to-node="10,2,0" data-index-in-node="53">LangSmith</strong>, <strong data-path-to-node="10,2,0" data-index-in-node="64">Langtrace</strong>, or <strong data-path-to-node="10,2,0" data-index-in-node="78">AgentOps</strong>, along with evaluation frameworks for LLM groundedness and accuracy.</p> </li> <li> <p data-path-to-node="10,3,0"><strong data-path-to-node="10,3,0" data-index-in-node="0">Soft Skills:</strong> Strong <strong data-path-to-node="10,3,0" data-index-in-node="20">ownership mindset</strong>, technical leadership, and the ability to mentor developers and articulate complex architecture to non-technical stakeholders.</p> </li> <li> <p data-path-to-node="10,4,0"><strong data-path-to-node="10,4,0" data-index-in-node="0">Language Skills:</strong> <strong data-path-to-node="10,4,0" data-index-in-node="17">Advanced English</strong> (written and spoken) is mandatory.</p> </li> </ul> <h3 data-path-to-node="11">Nice to Have</h3> <ul data-path-to-node="12"> <li> <p data-path-to-node="12,0,0">Exposure to reinforcement learning and advanced multi-agent coordination architectures.</p> </li> <li> <p data-path-to-node="12,1,0">Hands-on experience building user-facing AI interfaces with <strong data-path-to-node="12,1,0" data-index-in-node="60">Chainlit</strong>, <strong data-path-to-node="12,1,0" data-index-in-node="70">Streamlit</strong>, or <strong data-path-to-node="12,1,0" data-index-in-node="84">React</strong>.</p> </li> <li> <p data-path-to-node="12,2,0">Multicloud experience with