Latin America · hace 9 meses
Liderar el diseño y despliegue de sistemas de IA multiagente escalables, construir pipelines RAG sobre bases de datos vectoriales e implementar observabilidad y barreras de seguridad para LLMs. También mentorizar ingenieros y desarrollar interfaces de IA para stakeholders.
Engagement Type: Full-time/ Contractor 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? • 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. • Career Continuity & Long-Term Opportunity: Your career here can outlast any single project. Continuous multi-project pipeline; long-tenure CodeRoaders. • 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. • 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. Key Responsibilities • Architect & Orchestrate Agentic Systems: Lead the architectural design and deployment of scalable, resilient autonomous AI systems and multi-agent decision engines using frameworks like LangGraph, CrewAI, Agent Development Kit (ADK), and n8n. • Optimize Vector Retrieval & RAG: Engineer and maintain high-throughput data retrieval pipelines leveraging vector databases (Pinecone, Weaviate) to power context-aware Retrieval-Augmented Generation (RAG) and high-dimensional semantic search. • Implement AI Observability & Evaluation: Establish real-time evaluation pipelines using tools like LangSmith, AgentOps, and Langtrace to continuously monitor model health, suppress latency, detect drift, and mitigate bias in production environments. • Build Front-End AI Interfaces: Develop intuitive interactive user interfaces using Streamlit, Chainlit, and React concepts to streamline stakeholder interaction with complex autonomous agents. • Embed Guardrails & Ethical AI: Integrate robust safety guardrails, Model Context Protocol (MCP) integrations, structured function calling, and regulatory compliance standards for explainability, data privacy, and transparency. • Drive Technical Leadership: Establish foundational AI engineering patterns, mentor junior and mid-level software engineers, and collaborate across MLOps, cloud, and product teams. What You Bring • Core Experience: 5+ years of professional software development experience, with at least 2–3 years dedicated directly to architecting and deploying production AI/ML systems and agentic workflows. • AI Stack & Tooling Mastery: Expert proficiency in Python, multi-agent frameworks (LangGraph, CrewAI, ADK, n8n), vector databases (Pinecone, Weaviate), and tool-calling paradigms. • Observability & MLOps: Hands-on experience evaluating and monitoring LLMs using LangSmith, AgentOps, or Langtrace, alongside familiarity with MLOps frameworks (MLflow, Kubeflow) and multi-cloud environments (AWS, GCP, Azure). • Frontend & UI Literacy: Proven capability building AI frontends using Streamlit or Chainlit, with a solid baseline understanding of modern React concepts. • Ownership & Leadership Mindset: High accountability, strategic problem-solving skills, and a collaborative approach to translating complex AI concepts into value-driven technical deliverables. • Language Proficiency: Advanced English fluency (both written and spoken) is mandatory for seamless client-facing collaboration and technical leadership. What You’ll Love • USA Contractor / 100% Remote • Competitive Pay (USD) • Holidays Off & Paid Time Off • Health insurance assistance program • 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!
Publicada el 27 ene 2026
