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Sleek

Back-office services: incorporation, accounting, tax, compliance

AI Solutions Engineer

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeRemote in India

About the Job

Requirements

  • At least 10 years of professional technology or industry experience, including at least 4 years of hands-on software development or coding experience.
  • Proven ability to independently build, deploy, monitor, debug, and support production software.
  • Strong hands-on Python development experience and ability to independently diagnose and resolve production issues.
  • Proven experience building and deploying LLM-based systems into production for real users, beyond prompt experimentation or use of AI chat tools.
  • Current hands-on experience using agentic coding tools such as Claude Code, Cursor, Replit, or Codex.
  • Demonstrable experience building AI-powered automations, agents, workflows, or applications that solve business problems.
  • Comfort working with SQL, data warehouses, third-party APIs, file and document formats, and integrations between business systems.
  • Proven experience building a system or significant application from scratch and owning it through production.
  • Demonstrable experience enabling a non-technical colleague or business team to independently maintain or extend a tool.
  • Experience working directly with non-technical stakeholders to understand problems, gather requirements, define solutions, and manage expectations.
  • Ability to establish a business baseline, develop an ROI case, and measure automation's business value.
  • Experience in a startup, scale-up, or smaller team environment requiring independent work, speed, and broad ownership.
  • Take responsibility for outcomes and resolve problems through to completion; own systems from idea through production.
  • Proactively identify worthwhile problems and favor shipping, learning, and iterating over over-engineering.
  • Work confidently with technical and non-technical stakeholders, elicit requirements from subject-matter experts, and explain technical concepts in plain language.
  • Assess whether proposed solutions are worth building, defend ROI cases, and stop projects when expected value is not materializing.
  • Actively learn about AI technologies and apply them to practical problems.
  • Break ambiguous problems into manageable components, set priorities, and make pragmatic decisions.
  • Accept feedback, acknowledge knowledge gaps, and learn from business subject-matter experts.
  • Troubleshoot independently and work through technical or business obstacles.
  • Identify gaps, edge cases, errors, and failure modes in AI systems and automations using real business data.
  • Listen actively, understand stakeholder needs, and communicate solutions clearly to technical and non-technical audiences.

Responsibilities

  • Identify, discover, specify, code, deploy, monitor, support, and hand over AI and automation solutions for business processes across Accounting, Corporate Secretarial, Compliance, Sales, Marketing, HR, and Finance.
  • Deliver at least three end-to-end business automations within the first six months, from problem identification through discovery, specification, development, deployment, and production support.
  • Build solutions using real business systems and data, including LLM APIs and SDKs, databases and warehouses, accounting APIs, Slack, document-generation workflows, and scheduled jobs.
  • Stabilize and improve existing automations, ensuring they are reliable, maintainable, and supported by company-owned infrastructure.
  • Set clear baselines and ROI metrics before building, and target more than SGD 100,000 in annualized value across 12 months.
  • Measure success through cost savings, released capacity, faster turnaround, error reduction, or revenue enablement.
  • Track usage, costs, and adoption from day one; regularly audit the portfolio to scale successful solutions or stop low-impact builds.
  • Design low-code or configuration-driven interfaces that allow non-technical teams to safely operate and update daily workflows.
  • Provide documentation, safeguards, and power-user training for daily operations, while maintaining core code and infrastructure within technical scope.
  • Use company-owned credentials, documented fallbacks, clear rollback procedures, and avoid reliance on personal accounts or single points of failure.
  • Build relationships with stakeholders across Accounting, Corporate Secretarial, Compliance, Sales, Marketing, HR, and Finance across the company's four markets.
  • Conduct discovery independently with subject-matter experts, convert ambiguous requirements into practical specifications, and challenge assumptions using actual business volumes and data.
  • Proactively identify opportunities and communicate technical concepts and solutions clearly to non-technical colleagues and senior leadership.

Desired Qualifications

  • Experience in a regulated, multi-jurisdictional, or professional-services environment.
  • Experience in accounting, bookkeeping, corporate secretarial, compliance, or fintech operations.
  • Experience 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 building document-generation and document-processing workflows.
  • Experience building AI agents, tool-calling systems, or multi-step AI workflows.
  • Experience with evaluation frameworks, golden sets, and production LLM monitoring.

About the Company

Sleek

Back-office services: incorporation, accounting, tax, compliance

Sleek provides back-office services for UK entrepreneurs and business owners. It handles tasks like company incorporation, accounting, tax filing, and compliance, allowing clients to run their core activities while Sleek takes care of administrative work. The product works through online tools and a subscription model, with monthly or annual fees for access to its suite of services and ongoing support. Sleek differentiates itself by leveraging the UK presence (Leeds, Manchester, London) and being part of the Singapore-based Sleek Tech Group to offer a networked, reliable service that covers a broad range of back-office needs. The company’s goal is to simplify business administration so clients can focus on growth and operations instead of paperwork.

Company size
501-1,000
Company stage
Series B
Total funding
$62M
Headquarters
Singapore, Singapore
Founded
2017

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