> Markdown version of [/jobs/ext/4080861-ai-backend-engineer](https://www.wearedevelopers.com/jobs/ext/4080861-ai-backend-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Backend Engineer - **Company:** Vsg Business Solutions - **Location:** Woonsocket, RI, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** AI Evaluation, Artificial Intelligence, Amazon Web Services, Microsoft Azure, Code Review, Databases, Continuous Integration, Distributed Systems, Python (Programming Language), Node.Js, Software Architecture, OpenAI, Software Engineering, Systems Integration, TypeScript, Enterprise Software Applications, Retrieval-Augmented Generation, Large Language Models, Grafana, Multi-Agent Systems, Prompt Engineering, Google Vertex AI, IT Architecture, Backend, Agentic-AI, Event Driven Architecture, Build Management, AI Platforms, Kubernetes, Virtual Agents, Invoking Functions, Restful APIs, Microservices - **Published:** October 12, 2026 - **Apply:** https://www.careerjet.com/jobad/us9f4df27da89b78d79b7fe6fb03ee34ea ## About the Role We are seeking a hands-on Senior/Lead Backend Engineer with strong experience in AI agents and agentic workflows to design and build scalable backend services and AI-powered solutions. * The ideal candidate will combine strong backend engineering skills with practical experience integrating LLMs, tool-calling, and AI agent workflows, while working closely with Product and Business stakeholders., * 9+ years of backend/software engineering experience, with experience in a Senior/Lead capacity. * Strong hands-on development experience with Node.js/TypeScript and/or Python. * Practical experience building AI agents and agentic workflows using LLMs. * Strong understanding of LLM tool/function calling, prompt design, and AI evaluation techniques. * Experience developing and consuming REST APIs and working with event-driven architectures/services. * Strong understanding of microservices, distributed systems, and backend architecture. * Excellent communication and stakeholder-management skills, with the ability to work directly with Product and Business teams. * Experience leading or coordinating offshore engineering teams/pods. * Ability to work onsite in Rhode Island or Arizona, USA. Preferred Qualifications: * Experience with LLM/AI platforms such as OpenAI, Azure OpenAI, AWS Bedrock, or Google Vertex AI. * Experience with RAG, vector databases, embeddings, and AI orchestration frameworks. * Experience with cloud platforms such as AWS, Azure, or GCP. * Familiarity with CI/CD, containers, Kubernetes, and observability tools. ## Description * Design, develop, and maintain scalable backend services using Node.js/TypeScript and/or Python. * Build and integrate AI agents, agentic workflows, and LLM-powered applications. * Implement LLM tool/function calling, prompt engineering, evaluation frameworks, and AI workflow orchestration. * Develop and integrate REST APIs, microservices, and event-driven services. * Design reliable integrations across AI services, enterprise applications, databases, and external systems. * Partner directly with Product and Business teams to translate requirements into technical solutions. * Provide technical leadership, code reviews, architecture guidance, and hands-on development. * Lead and mentor an offshore engineering pod, ensuring delivery of quality and alignment with project objectives. * Monitor, troubleshoot, and optimize backend and AI workloads for performance, scalability, and reliability.