Design and build scalable backend services and AI-powered applications using Node.js/TypeScript or Python. Develop AI agents, agentic workflows, LLM integrations, tool calling, evaluation frameworks, REST APIs, microservices, and event-driven services. Partner with Product and Business teams, provide architecture guidance and code reviews, lead an offshore engineering pod, and optimize backend and AI workloads for reliability and performance. The role is onsite in Rhode Island or Arizona.
Location: Onsite – Rhode Island (RI) or Arizona (AZ), USA
Position Type: Senior / Lead – 1 Position
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.
Key Responsibilities- 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 quality and alignment with project objectives.
- Monitor, troubleshoot, and optimize backend and AI workloads for performance, scalability, and reliability.
- 7+ 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.
- 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.
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What you need to know about the Charlotte Tech Scene
Ranked among the hottest tech cities in 2024 by CompTIA, Charlotte is quickly cementing its place as a major U.S. tech hub. Home to more than 90,000 tech workers, the city’s ecosystem is primed for continued growth, fueled by billions in annual funding from heavyweights like Microsoft and RevTech Labs, which has created thousands of fintech jobs and made the city a go-to for tech pros looking for their next big opportunity.
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- Research Centers and Universities: University of North Carolina at Charlotte, Northeastern University, North Carolina Research Campus
