AI Automation Specialist

Employment Type: Full-time

About the Role

We are seeking an experienced AI Systems Architect / Automation Engineer to own the end-to-end architecture of AI-powered operational systems across the company. This is a senior technical role with broad accountability: from workflow orchestration and decision engines to operational data platforms, internal tools, and production-grade LLM features. You will be the most senior technical authority on AI and automation topics, driving reliability, scalability, and compliance across mission-critical systems.

Key Responsibilities

AI Systems Architecture: Design and document principled architectures, balancing deterministic logic, ML, and LLMs.

Workflow Orchestration & Automation: Build scalable, reliable workflows across no-code and custom services.

Decision Engines: Implement explainable, traceable allocation and matching systems with human-in-the-loop escalation.

Operational Data Platform: Own schemas, pipelines, and integrations across SaaS systems.

Internal Tools & CRMs: Develop CRMs, dashboards, and operational tools using low-code and framework code.

Audit & Governance: Implement approval systems, audit trails, and compliance-ready event logs.

Reporting & Observability: Deliver automated reporting, structured logs, metrics, and monitoring.

AI/LLM Engineering: Ship production-ready LLM features with evaluation harnesses and cost/latency optimization.

Reliability & Security: Own production reliability, incident response, and enforce strict access controls.

Project Delivery: Lead projects end-to-end — discovery, design, build, rollout, training, and optimization.

Qualifications

5+ years in software or automation engineering, with 2+ years building production AI/LLM-backed systems.

Strong coding skills in Python and/or TypeScript/Node.js (both preferred).

Advanced SQL skills for complex queries and performance optimization.

Experience with workflow tools (Make.com, n8n, Zapier) and backend fundamentals (REST APIs, queues, retries).

Data warehousing expertise (BigQuery or equivalent).

Integration experience with SaaS platforms (e.g., Asana, Zoho, Slack, Google Workspace).

Track record of owning production systems end-to-end (e.g., allocation engines, workflow platforms, CRMs, data warehouses).

Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.

English proficiency (CEFR C1 or above).

Preferred Skills

Experience with agentic AI patterns, dbt, infrastructure-as-code, or event-sourced systems.

Strong systems thinking, technical documentation, and cross-functional communication.

Calm, methodical debugging under production pressure.

What We’re Looking For

Ownership mindset and engineering judgment.

Pragmatic problem-solving — choosing the simplest maintainable solution.

Curiosity about operational workflows and how systems are actually used.

Comfort being the senior technical authority on AI/automation.