Senior AI-Augmented Integration Developer

We are seeking a production-focused Senior AI-Augmented Integration Developer who will work alongside an AI Solutions Architect to lead high-impact efficiency builds across a diverse portfolio of companies in hyper-compressed 4–6 week cycles. The role involves utilizing AI "Skill Agents" to rapidly build, test, and deploy API connections and AI-intensive applications, and engaging directly with clients to translate business problems into technical architecture and guide deployment.

• Proven prior experience working at a Senior Developer or Technical Team Lead level with deep understanding of software architecture, technical debt, and production-ready standards.
• Exceptional ability to lead technical conversations with non-technical clients, manage stakeholder expectations, and present complex solutions simply.
• Proven experience deeply integrating AI into daily development workflow, treating AI Skill Agents as junior developers.
• Strong foundational knowledge of backend orchestration (Python, Node.js) and API development to debug, refactor, and guide AI output.
• Advanced ability to write precise, context-rich prompts for AI models; direct experience building with LLM APIs (Anthropic/Claude preferred) and agentic workflows.
• Understanding of production discipline including robust logging, secrets management, and containerization (Docker, Serverless) to safeguard AI-generated code.
• Ability to work core business hours in the US Eastern Time Zone for real-time collaboration with US-based clients and internal team.

• Client Discovery & Consulting: Lead technical discussions with external clients and stakeholders. Translate broad business ambitions and operational bottlenecks into precise, actionable technical requirements and AI architectures.
• Agent-Assisted Integration Building: Command and collaborate with AI Skill Agents to rapidly generate robust API integrations, webhooks, and logic workflows optimized for AI-driven systems.
• Technical Leadership & Code Review: Act as the technical lead and editor for AI-generated code. Ensure all outputs meet enterprise security, error-handling, and performance standards before production.
• System Connectivity & Architecture: Navigate complex SaaS ecosystems and custom backends (REST/GraphQL), using AI assistants to parse API documentation and auto-generate connective middleware.
• Secure Deployment & Ownership: Take end-to-end ownership of securely deploying lightweight, AI-generated applications into production, utilizing CI/CD and modern DevOps best practices to prevent silent failures.

Ability to work core business hours in the US Eastern Time Zone (New York) to ensure seamless real-time collaboration with US-based clients and the internal team.