AI Backend Engineer

AI Backend Engineer

Onsite – Rhode Island (RI) or Arizona (AZ), USA Position Type: Senior / Lead – 1 Position

Position Overview

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.

• Required Qualifications

• 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.

• 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.