Ai Solutions Engineer

70% compound annual growth in Revenue over the last 5 years. Sleek has been recognised by The Financial Times, The Straits Times, Forbes and Linked In as one of the fastest growing companies in Asia. Backed by world‑class investors, we are on track to be one of the few cash flow positive, tech‑enabled unicorns based out of Asia Pacific.

Requirements

Mission of the role

As an AI Solutions Engineer, you will be one of Sleek's most senior individual contributors, responsible for turning AI and automation opportunities into deployed, measurable business capabilities across our Accounting, Corporate Secretarial, Compliance, Sales, Marketing, HR and Finance teams.

This is a highly hands‑on role. You will take ambiguous, manual business processes from discovery and specification through coding, deployment, monitoring, support and eventual handover to the business team.

You will work closely with non‑technical subject‑matter experts and senior leadership to identify high‑value opportunities, build practical AI solutions, and prove that they deliver measurable business value.

The role requires someone who is equally comfortable writing production code, talking to a business stakeholder, challenging assumptions, and demonstrating why an automation is worth building.

You will also take ownership of existing automations and be expected to independently diagnose and resolve technical issues rather than relying on external technical support.

Key outcomes in the first 6-12 months

• Deliver Production AI Automations: Lead and deliver at least 3 end-to-end business automations within the first 6 months, taking each initiative from identifying the problem through discovery, specification, development, deployment and production support. Build against real business systems and data, including LLM APIs and SDKs, databases and warehouses, accounting APIs, Slack, document‑generation workflows and scheduled jobs. Take ownership of stabilising and improving existing automations where required, ensuring they are reliable, maintainable and supported by Sleek‑owned infrastructure.
• Generate Measurable Business Value: Target SGD $100,000+ in annualised value across 12 months, setting clear baselines and ROI metrics before building. Measure success holistically through cost savings, capacity released, faster turnarounds, error reduction, or revenue enablement. Track usage, costs, and adoption from day one, regularly auditing the portfolio to scale winning solutions or stop low‑impact builds.
• Build and Hand Over Sustainable Solutions: Design low‑code/config‑driven interfaces that allow non‑technical teams to safely operate and update daily workflows. Provide documentation, safeguards, and power‑user training for daily ops, keeping core code and infrastructure maintained under technical scope. Build on Sleek‑owned credentials with documented fallbacks, clear rollback procedures, and no reliance on personal accounts or single‑point failures.
• Become a Trusted AI Partner Across the Business: Build strong relationships with stakeholders across Accounting, Corporate Secretarial, Compliance, Sales, Marketing, HR and Finance across Sleek's four markets. Independently conduct discovery with subject‑matter experts, turn ambiguous requirements into practical specifications and challenge assumptions using actual business volumes and data. Identify opportunities proactively rather than waiting for fully defined projects, and communicate technical concepts and solutions clearly to non‑technical colleagues and senior leadership.

Must-have experience

• Production Software Engineering: 10+ years of professional technology/industry experience, including at least 4+ years of hands‑on software development/coding experience. Proven experience independently building, deploying, monitoring, debugging and supporting production software
• Python: Strong hands‑on Python development experience is essential, with the ability to independently diagnose and resolve technical issues in production
• Production AI/LLM Systems: Proven experience building and deploying LLM‑based systems into production for real users. This must go beyond prompt experimentation or using AI chat tools
• Agentic Development Tools: Hands‑on and current experience using agentic coding tools such as Claude Code, Cursor, Replit, Codex or similar tools. These should be tools the candidate actively uses rather than tools they are planning to learn
• AI Automation: Demonstrable experience building AI‑powered automations, agents, workflows or applications that solve real business problems
• Data & Systems: Comfortable working with SQL, data warehouses, third‑party APIs, file and document formats, and integrations between different business systems
• End‑to‑End Ownership: Proven experience building a system or sign