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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Agentic AI Architect - **Company:** RAPD SOLUTIONS - **Location:** United States (Remote available) - **Salary:** $78,000.0 - $120,000.0 - **Contract:** Internship / Graduate position - **Skills:** JavaScript (Programming Language), Microsoft Windows, Application Programming Interfaces (APIs), Artificial Intelligence, Application Integration Architecture, Business Logic, Software Applications, User Authentication, Business Systems, Software as a Service, Information Systems, Computer Programming, Databases, Data Validation, Data Governance, Database Design, Graph Database, Human-Computer Interaction, Python (Programming Language), PostgreSQL, SAP ERP, Neo4j, Open Data Protocol, Software Product Management, SAP (Applications), Search Technologies, Service Development Studio, Service Layer, Microsoft SharePoint, Software Construction, Software Engineering, SQLAlchemy, Data Streaming, Systems Integration, TypeScript, Web Application Frameworks, Workflow Management Systems, Enterprise Data Management, Data Logging, Flexi (Photoshop Plugin), Enterprise Software Applications, SAP Integration Solutions, ReactJS, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, Prompt Engineering, SAP BAPI, Backend, Git, Fastapi, Data Layers, Information Technology, Slack, SAP S/4HANA, Enterprise Integration, Gsuite, Front End Software Development, Virtual Agents, Api Design, Restful APIs, GPT, Docker, Legacy Systems, Servicenow, Web Api - **Published:** June 19, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=7a1367a110ab47e0 ## About the Role Do you have experience in UI implementation?, Do you have a Bachelor's degree?, RAPD Solutions is looking for Highly motivated AI Factory development engineers to help build the AI Factory to product native AI apps, an AI Factory for enterprise application modernization, workflow automation, agentic orchestration, knowledge graphs, and AI-native software development. We are looking for people who are smart, hardworking, imaginative, fast learners, and excited to work on real AI product development. This is not a simple coding role. The right candidates should enjoy building end-to-end software products, learning new AI technologies quickly, and solving complex enterprise problems using LLMs, agents, context engineering, orchestration, backend services, integrations, and enterprise data systems. Ideal Candidate Profile The ideal candidate is someone who can think like a product builder, software engineer, and AI solution designer. They should be comfortable understanding a business problem, breaking it into software components, and helping build a working AI-powered product from UI to backend to data layer to enterprise integration. We prefer candidates with a B.S. in Computer Science, Software Engineering, or a related technical field, but strong hands-on experience and product-building ability are equally important. Candidates should have experience working on small or medium AI Apps, prototypes, internal platforms, automation tools, SaaS products, enterprise applications, or AI-enabled workflow systems. Core Personality and Work Style We are looking for candidates who are: * Highly motivated and self-driven * Smart, hardworking, and dependable * Quick learners who can pick up new tools and frameworks fast * Creative thinkers with strong imagination * Comfortable working in an early-stage product development environment * Interested in AI product development, not just routine programming * Able to work with ambiguity and convert ideas into working software * Strong problem solvers who can research, analyze, design, build, test, and improve * Willing to collaborate with business users, architects, developers, and AI agents Technical Understanding Required Candidates should understand how modern software applications are built from end to end, including: * Frontend UI and user interaction flow * Backend APIs and service layer * Business logic and workflow orchestration * Database design and data models * Integration with ERP systems and enterprise applications * Authentication, authorization, logging, monitoring, and error handling * Data flow between UI, backend, integration layer, and source-of-truth systems The candidate does not need to be an expert in every area, but they must understand how all layers connect together in a real enterprise application. AI, LLM, and Agentic Development Skills Candidates should have strong interest or hands-on experience in: * Large Language Models * GPT-5.5 * Claude Fable 5 * LLM APIs and model integration * Prompt engineering * Context engineering * Agentic workflows * AI agents and multi-agent systems * Agentic orchestration * Scaffolding and harnessing AI agents * Tool calling and LLM plug-ins * Retrieval-Augmented Generation * AI workflow automation * Human-in-the-loop review flows * Evaluation and testing of AI-generated outputs * Building AI systems that can reason over enterprise knowledge Backend and Platform Skills Preferred hands-on skills include: * Python * FastAPI * SQLAlchemy * PostgreSQL * REST APIs * API orchestration * Background jobs and workflow execution * Data validation * Logging and observability * Secure service-to-service integration * Docker or container-based development * Git-based development workflow Knowledge Graph and Context Graph Skills Candidates should understand or be willing to learn: * Knowledge graphs * Context graphs * Enterprise digital twins * Nodes, edges, relationships, and semantic metadata * Workflow-to-system mapping * Application dependency mapping * Data ownership mapping * Integration dependency mapping * Using graph data to support AI agents and enterprise decision-making Experience with Neo4j or similar graph databases is a plus. Enterprise Integration Skills is added advantage Candidates should understand how enterprise applications connect with real business systems such as: * ERP systems * SAP ECC or S/4HANA * Databases * APIs * OData services * BAPI/RFC-style integrations * ServiceNow * SharePoint * Gmail / Microsoft 365 integrations * Legacy systems * Integration layers and connector-based architectures, * Python, FastAPI, SQLAlchemy, PostgreSQL * JavaScript / TypeScript / React experience preferred * REST APIs * Product development mindset * Understanding of UI-to-backend-to-database flow * Ability to build working prototypes quickly Help build the RAPD Integration Layer * Connect enterprise applications to ERP systems, databases, APIs, and business systems * Design integration patterns for SAP, ServiceNow, SharePoint, Gmail, Slack, and other systems * Build data models that support enterprise knowledge graphs * Create context graphs for workflows, applications, systems, users, roles, APIs, databases, and integrations * Support current-state and future-state enterprise digital twin modeling * Help AI agents understand enterprise application dependencies and business workflows Preferred skills: * Enterprise integration experience * API design * PostgreSQL * Knowledge graphs / Neo4j preferred * ERP integration understanding * SAP ECC or S/4HANA exposure preferred * Data modeling * Backend service development * Understanding of secure and governed integration architecture, * B.S. in Computer Science, Software Engineering, Information Systems, or related field preferred * Hands-on programming experience * Experience building software applications, prototypes, platforms, or automation tools * Basic understanding of frontend, backend, database, and integration layers * Interest or experience in AI, LLMs, agents, and enterprise automation * Ability to learn quickly and work in a fast-moving product development environment * Good communication and problem-solving skills Nice-to-Have Qualifications * Experience with AI product development * Experience with FastAPI, SQLAlchemy, and PostgreSQL * Experience with React or modern frontend frameworks * Experience with SAP, ERP, ServiceNow, SharePoint, or enterprise systems * Experience with knowledge graphs or Neo4j * Experience with agentic AI frameworks * Experience with RAG, vector databases, embeddings, or semantic search * Experience building internal enterprise platforms or SaaS products ## Description * Build product features for the RAPD AI Factory platform * Develop backend APIs using FastAPI * Work with SQLAlchemy and PostgreSQL * Connect UI flows to backend services * Support AI-assisted workflows and agent-driven user journeys * Help design flexible screens, dashboards, and conversational workspaces * Build reusable services that support enterprise workflow modernization * Collaborate with AI/LLM engineers and integration engineers ## Related Videos - [Headless by Design: Building Enterprise Systems That Agents Can Actually Use](https://www.wearedevelopers.com/videos/100092-headless-by-design-building-enterprise-systems-that-agents-can-actually-use) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Putting the Graph In GraphQL With The Neo4j GraphQL Library](https://www.wearedevelopers.com/videos/257-putting-the-graph-in-graphql-with-the-neo4j-graphql-library) - [ Evaluating AI models for code comprehension](https://www.wearedevelopers.com/videos/1462-evaluating-ai-models-for-code-comprehension) - [RAG's Not Dead, You're Just Using It Wrong! - Phil Nash](https://www.wearedevelopers.com/videos/1906-rag-s-not-dead-you-re-just-using-it-wrong-phil-nash) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) ## Related Articles - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)