Senior Full-Stack Engineer - Agentic AI & Intelligent Call Center

Reports To: Technical Lead, Software Department

Build the software layer where AI does more than answer questions - it understands, decides, acts, processes orders, monitors outcomes, and hands off to humans when judgment is required.

The Opportunity

A hands-on, end-to-end role for a senior builder joining an AI-native product initiative. The technology direction and Technical Lead are already in place. We are looking for an engineer who can turn that architecture into reliable production systems and help shape how intelligent customer operations are built.

"Senior" here means engineering judgment and ownership, not years spent in agentic AI specifically - the field is too new for that.

What You Will Build

• Headless AI agents that execute operational workflows without requiring a traditional UI.
• Intelligent call-center experiences connecting voice, customer intent, business logic, order data, and human handoff.
• Agentic workflows that retrieve context, call tools/APIs, make bounded decisions, execute actions, validate results, and monitor completion.
• End-to-end full-stack applications across frontend, backend services, APIs, databases, event-driven workflows, and cloud deployment.
• Order processing, reconciliation, exception detection, status monitoring, escalation, and production AI controls.

Why This Role

• Work directly with the Technical Lead and contribute to architecture decisions, not just ticket execution.
• Own meaningful systems from design through production and measurable business outcomes.
• Build at the intersection of full-stack software, Agentic AI, Voice AI, and real-world operations.

What We Need

• 7+ years preferred; 5+ years minimum professional software engineering experience, with current hands-on engineering work.
• Strong end-to-end ownership with React/Next.js/TypeScript plus Node.js and/or Python.
• Production experience with REST APIs, webhooks, async workflows, SQL/databases (including MSSQL), cloud infrastructure (Azure or equivalent), testing, Git, and CI/CD.
• Real production LLM/Generative AI experience used by customers or business operations.
• Agentic AI experience: tool/function calling, multi-step reasoning, state/memory, structured outputs, orchestration, and error handling.
• Strong English communication and the ability to explain architecture, tradeoffs, failures, and measurable results.

Experience That Makes You Stand Out

• RAG/vector search, model evaluation, tracing/observability, prompt/context architecture, and production guardrails.
• Voice AI, real-time conversational systems, contact-center, or telephony engineering.
• LangGraph, LangChain, MCP, or equivalent orchestration patterns.
• Customer-service automation, sales automation, telecom, order management, fulfillment, or operations technology.

Show Us Real Work

We care more about what you have shipped than how many AI keywords appear on your resume. Be ready to explain a real production system: the problem, your personal contribution, architecture, AI layer, deployment, failure modes, and measurable result. GitHub, demos, diagrams, or case studies are encouraged where confidentiality permits