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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer I - **Company:** AI ENTERPRISE INC - **Location:** United States - **Experience:** Expert - **Salary:** $149,580.0 - $166,200.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Application Performance Management, Software as a Service, Software Quality, Code Review, DevOps, Distributed Systems, Message Broker, OAuth, RabbitMQ, Secure Coding, Software Engineering, Software Systems, Systems Integration, Web Applications, Data Logging, Cloud Platform System, Large Language Models, Multi-Agent Systems, Prompt Engineering, Technical Debt, Backend, AI Platforms, Kubernetes, Enterprise Integration, Apache Kafka, Graphql, Machine Learning Operations, Restful APIs, Api Management, Docker - **Published:** July 28, 2026 - **Apply:** https://www.dice.com/job-detail/e1bf6006-62b8-4766-bff3-0de5b18826ae ## About the Role * Strong Application & Backend Engineering Background: 6+ years of professional software engineering experience, with a proven track record of designing, building, and operating production-grade web applications, API integrations, or business-critical backend services. * Hands-on GenAI Experience: 1+ years of experience building applications utilizing LLMs, including familiarity with prompt engineering, RAG, vector databases, and popular orchestration frameworks (e.g., LangChain, LlamaIndex, LangGraph, AutoGen). * High Customer Empathy & Collaboration: Proven experience working closely with cross-functional stakeholders, non-technical partners, or product managers to scope, design, and launch user-centric software solutions. * Data Privacy & Security Mindset: A strong understanding of secure coding practices, API authentication (OAuth), and protocols for handling highly sensitive or regulated business data (PII, financial records). * Distributed Systems & Integration Expertise: Solid experience with RESTful/GraphQL APIs, message brokers (e.g., Kafka, RabbitMQ), asynchronous job processing, and integrating third-party SaaS platforms. * Cloud & DevOps Proficiency: Comfortable deploying and monitoring applications in AWS or similar cloud environments, utilizing Docker, CI/CD pipelines, and modern infrastructure observability tools. * Pragmatic Problem Solver: Ability to make smart technical trade-offs, prioritizing immediate business value and operational stability over speculative, over-engineered architectures. ## Description * Build Direct Business Integrations: Partner with departmental Subject Matter Experts (SMEs) to translate manual, high-volume operational tasks (e.g., transaction management, legal review, financial reconciliation) into robust, automated AI pipelines. * Orchestrate Agentic Workflows: Implement advanced application-level AI patterns, including multi-agent orchestration, RAG pipelines, semantic document routers, and state-machine-driven automation. * Utilize and Inform Platform Primitives: Build your integrations on top of our Tier 1 AI Platform APIs, providing continuous feedback loops to the Platform Team to help shape company-wide infrastructure and gateway design. * Enforce Rigorous Security Compliance: Ensure all departmental integrations adhere to absolute data security and privacy standards, keeping sensitive company and customer PII strictly protected. * Maintain Code Quality & Governance: Review code submissions, establish robust testing frameworks for LLM outputs, and ensure that our rapid execution model does not accumulate technical debt. * Unblock and Mentor Engineers: Provide technical guidance to engineers within your dedicated pod, fostering a high-performing and inclusive engineering culture. * Focus on Continuous Improvement: Design, monitor, and improve operational metrics and logging for your integrations to quickly troubleshoot, resolve defects, and optimize user experience. ## Related Videos - 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