AI Solutions Engineer

Sleek

. Turn AI and automation opportunities into deployed, measurable business capabilities across Accounting, Corporate Secretarial, Compliance, Sales, Marketing, HR, and Finance .

Posted 9/19/2026full-timeRemote • India, PhilippinesSeniorLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive experience in building and deploying AI-powered automations and production software, with a strong focus on stakeholder engagement and technical ownership. Capable of establishing business baselines, measuring ROI, and effectively communicating technical concepts to non-technical teams.

Highest-signal resume keywords

Python DevelopmentLLM-Based Systems DeploymentSQL and Data Warehouse ExperienceAI-Powered Automation DevelopmentStakeholder Relationship Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software DevelopmentAutomation DevelopmentAgentic Coding ToolsBusiness-System IntegrationsDocument-Generation WorkflowsProduction Software DebuggingTechnical DocumentationLow-Code Interface DesignROI Metrics DevelopmentData Analysis

Soft Skills

Strong Communication SkillsOwnership and AccountabilityCuriosity and Enthusiasm for AIStructured ThinkingAttention to Detail

Tools & Technologies

Claude CodeCursorReplitCodexXeroBigQuerySlack IntegrationsDocument-Processing Workflows

Industry Keywords

AccountingCorporate SecretarialComplianceFintech OperationsStartup ExperienceScale-Up ExperienceMulti-Jurisdiction ExperienceProfessional-Services Experience

Tech Stack

Tools & technologies

BigQueryCloudPythonSQL

About the role

Key responsibilities & impact

Turn AI and automation opportunities into deployed, measurable business capabilities across Accounting, Corporate Secretarial, Compliance, Sales, Marketing, HR, and Finance
Take ambiguous manual processes from discovery and specification through coding, deployment, monitoring, support, and handover
Deliver at least three end-to-end business automations within the first six months
Build against LLM APIs and SDKs, databases and warehouses, accounting APIs, Slack, document-generation workflows, and scheduled jobs
Stabilize and improve existing automations
Target SGD $100,000+ in annualized value across 12 months
Establish baselines and ROI metrics before building
Track usage, costs, adoption, and business impact
Scale high-impact solutions or stop low-impact builds
Design low-code/config-driven interfaces for non-technical teams
Provide documentation, safeguards, rollback procedures, and power-user training
Maintain core code and infrastructure under technical ownership
Build on company-owned credentials and avoid single-point failures
Build stakeholder relationships across Sleek’s four markets
Conduct discovery with subject-matter experts and translate ambiguous requirements into practical specifications
Identify opportunities proactively and communicate technical concepts clearly to non-technical colleagues and senior leadership
Participate in interviews and reference verification as part of the hiring process

Requirements

What you’ll need

10+ years of professional technology/industry experience
At least 4+ years of hands-on software development/coding experience
Proven ability to independently build, deploy, monitor, debug, and support production software
Strong hands-on Python development experience
Proven experience building and deploying production LLM-based systems for real users
Current hands-on experience with agentic coding tools such as Claude Code, Cursor, Replit, Codex, or similar
Demonstrable experience building AI-powered automations, agents, workflows, or applications solving real business problems
Comfort working with SQL, data warehouses, third-party APIs, file and document formats, and business-system integrations
Proven experience building a system or significant application from scratch and owning it through production
Experience enabling non-technical colleagues or business teams to independently maintain or extend a tool
Experience working directly with non-technical stakeholders to gather requirements, define solutions, and manage expectations
Ability to establish business baselines, develop ROI cases, and measure automation value
Experience in a startup, scale-up, or smaller team environment
Ownership and accountability
Initiative and bias for action
Strong communication skills
Commercial mindset
Curiosity and enthusiasm for AI
Structured thinking
Humility
Resilience
Attention to detail
Excellent listening and clear communication
Consent to background screening, potentially including education, criminal history, political exposure, and bankruptcy or adverse credit history checks
Nice-to-have: regulated, multi-jurisdiction, or professional-services experience
Nice-to-have: accounting, bookkeeping, corporate secretarial, compliance, or fintech operations experience
Nice-to-have: Xero or other accounting platform/API experience
Nice-to-have: BigQuery or other cloud data warehouse experience
Nice-to-have: Slack integrations
Nice-to-have: document-generation or document-processing workflows
Nice-to-have: AI agents, tool-calling systems, or multi-step AI workflows
Nice-to-have: evaluation frameworks, golden sets, and production LLM monitoring

Benefits

Comp & perks

Remote work flexibility
Flexible start times to accommodate family or other needs
Fully remote work from anywhere in the world for 1 month each year
Competitive market salaries
Generous paid time off and holiday schedules
Employee share ownership plan for eligible staff
Internal and external-facing training programmes
Responsibility and autonomy
Diverse and inclusive environment
AI training and regional AI centre of excellence opportunities