AI Backend Engineer

• 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.

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.