Agentic Ai OS Implementation Engineer

Company Description Nexo is a financial operating system that helps small and medium-sized businesses gain clear visibility and control over their spending. The platform is designed to integrate seamlessly with existing financial systems, connecting raw transaction data to meaningful, actionable insights. By streamlining financial workflows, Nexo supports smoother, more modern experiences for both buyers and sellers. The company focuses on empowering SMBs to make informed decisions, optimize cash flow, and improve overall financial performance.Role OverviewWe are seeking a visionary Principal Agentic AI Engineer to architect, build, and deploy production-grade autonomous AI systems and operating ecosystems. As organizations transition from rigid rule-based automation to Agentic Automation, this role requires a seasoned expert who can bridge the gap between classic Robotic Process Automation (RPA), Business Process Management (BPM) workflows, and dynamic, LLM-driven AI agents. You will orchestrate entire workflows where AI reasons, plans, utilizes enterprise tools, and continuously optimizes business processes. Key ResponsibilitiesAgent Architecture & Orchestration: Design and develop multi-agent systems and coordinators using frameworks like LangGraph and CrewAI. Build agents capable of reasoning, decomposing tasks, planning, and self-correction. Legacy Ecosystem Integration: Leverage your extensive background in platforms like UiPath, Blue Prism, and enterprise BPM suites to integrate AI agents securely with existing infrastructure, internal databases, and third-party SaaS. Context & Memory Management: Implement short-term and long-term memory systems, state graphs, and advanced RAG (Retrieval-Augmented Generation) pipelines to ensure agents recall facts and maintain workflow continuity. Tool & API Integration: Enable agents to operate across various software by linking them via standard APIs and protocols to trigger execution natively. Governance & Evaluation: Design testing, monitoring, and observability pipelines to ensure autonomous workflows are reliable, secure, and compliant with enterprise policiesQualifications & Technical CompetenciesExperience: 10+ years in IT, with hands-on technical architecture and implementation experience spanning multiple enterprise RPA (e.g., UiPath, Automation Anywhere) and BPM (e.g., Pega, Appian, Camunda) platforms. AI & LLM Proficiency: Deep understanding of modern foundation models (OpenAI, Claude, Gemini, Llama) and prompt engineering techniques. Programming Skills: Strong programming background in Python and experience with asynchronous processing, REST APIs, and microservices. Data Architecture: Familiarity with vector databases (e.g., Pinecone, Weaviate) and building RAG pipelines. Analytical Mindset: Proven ability to map business processes, evaluate process constraints, and design reusable intelligent automation frameworks