Permanent WFH | AI Systems & Automations Engineer

AI Systems and Automation Engineer

Employment Type: Full-time

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.

• 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.