AI Solutions Engineer

Through proprietary software and AI, along with a focus on customer delight, Sleek makes the back-office easy for micro SMEs.
We give Entrepreneurs time back to focus on what they love doing - growing their business and being with customers. With a surging number of Entrepreneurs globally, we are innovating in a highly lucrative space.
We operate across 3 business segments:
Corporate Secretary: Automating the company incorporation, secretarial, filing, Nominee Director, mailroom and immigration processes via custom online robots and SleekSign. We are the market leaders in Singapore with :5% market share of all new business incorporations
Accounting & Bookkeeping: Redefining what it means to do Accounting, Bookkeeping, Tax and Payroll thanks to our proprietary SleekBooks ledger, AI tools and exceptional customer service
FinTech payments: Overcoming a key challenge for Entrepreneurs by offering digital banking services to new businesses
Sleek launched in 2017 and now has around 17,500 customers across our offices in Singapore, Hong Kong, Australia and the UK. We have around 600 staff with an intact startup mindset. We have recently raised Series B financing off the back of >70% compound annual growth in Revenue over the last 5 years. Sleek has been recognised by The Financial Times, The Straits Times, Forbes and LinkedIn 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
Outcome 1: 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.
Outcome 2: Generate Measurable Business Value
Establish a clear business case and ROI metric with the relevant business owner before building an automation.
Within 12 months, build a portfolio of AI and automation initiatives generating more than SGD 100,000 in realised savings or efficiencies.
Track usage, cost per run, failure modes, operational impact and other relevant metrics from the beginning of each project.
Distinguish between theoretical time savings and realised business value, with savings evidenced through actual headcount redeployment/reduction, vendor or licence savings, or other measurable financial or operational outcomes.
Outcome 3: Build and Hand Over Sustainable Solutions
Design automations for long-term ownership by the department using them.
Ensure solutions are built on Sleek-owned credentials and infrastructure, with a named business owner, documented technical fallback, appropriate security controls and a clear rollback process.
Enable non-technical business users to operate, maintain and extend the tools themselves rather than creating long-term dependency on the AI Solutions Engineer.
Build a network of power users across departments who can confidently use and extend the solutions with appropriate evaluation criteria and safeguards.
Outcome 4: 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 significant application from scratch and taking responsibility for it through production, rather than only contributing to an existing codebase
Enablement: Demonstrable experience taking a non-technical colleague or business team from little or no development experience to independently maintaining or extending a tool
Business Partnership: Experience working directly with non-technical stakeholders to understand problems, gather requirements, define solutions and manage expectations
Commercial Acumen: Able to establish a business baseline, develop an ROI case and measure whether an automation has delivered genuine business value
Startup Environment: Experience working in a startup, scale-up or smaller team environment where engineers are expected to operate independently, move quickly and take broad ownership
Must-have attributes
Ownership & Accountability: Takes full responsibility for outcomes and sees problems through to resolution. Comfortable owning a system from idea to production rather than waiting for someone else to define the next step.
Initiative & Bias for Action: A proactive self-starter who actively looks for problems worth solving and prefers to ship, learn and iterate rather than over-engineer.
Strong Communication: Personable and confident when working with both technical and non-technical stakeholders. Able to extract requirements from busy subject-matter experts and communicate technical concepts in plain language.
Commercial Mindset: Thinks beyond whether something can be built and asks whether it should be built. Comfortable defending an ROI case and stopping projects when the expected value is not materialising.
Curiosity & AI Enthusiasm: A genuine self-learner who actively experiments with new AI technologies and applies them to practical problems.
Structured Thinking: Able to take ambiguous problems, break them down into manageable components, establish priorities and make pragmatic decisions.
Humility: Open to feedback, willing to acknowledge knowledge gaps and comfortable learning from subject-matter experts across the business.
Resilience: Comfortable troubleshooting problems independently and working through technical or business obstacles without becoming blocked.
Nice-to-have experience
Experience working in a regulated, multi-jurisdiction or professional-services environment
Experience in accounting, bookkeeping, corporate secretarial, compliance or fintech operations
Experience working with accounting platforms or APIs such as Xero
Experience with BigQuery or other cloud data warehouses
Experience building integrations with Slack or similar collaboration platforms
Experience with document-generation and document-processing workflows
Experience building AI agents, tool-calling systems or multi-step AI workflows
Experience working with evaluation frameworks, golden sets and production LLM monitoring
Behavioural fit is also important at Sleek And We will be looking for candidates who have a proven track rec

Work arrangement
No