William Muli, AI Solutions Implementation Lead and senior software engineer

About

AI Solutions Implementation Lead and senior software engineer with 10+ years of experience translating complex business problems into production AI, automation, data, and backend solutions across global payroll, HR tech, fintech, web3, enterprise SaaS, and civic technology.

Currently at Deel, building AI-powered and agentic workflows on Akai and partnering across Product, Design, Sales, RevOps, Customer Success, and Payroll Operations to identify high-value use cases, map workflows, define requirements, implement integrations, manage risks, drive adoption, and measure outcomes.

Strong communicator with hands-on expertise in LLM applications, AI agents, workflow orchestration, APIs, data pipelines, stakeholder management, training, monitoring, evaluation, and production reliability.

Skills

LLM applicationsAI agentsAgentic workflowsPrompt engineeringTool/function callingRAGEmbeddingsVector searchHuman-in-the-loopGuardrailsMonitoringWorkflow orchestrationAPIsData pipelines TypeScriptJavaScriptNode.jsNestJSExpressREST APIsGraphQLPostgreSQLRedisPrismaEvent-driven systemsDistributed systemsAWS Azure DockerKubernetes/EKSS3SNSSQSCI/CDGitHub ActionsAzure DevOpsReact Next.js Angular React Native

Experience

Senior Software Engineer, AI and Automation at Deel
Feb 2024 — Present
- Lead implementation of AI-powered and automated solutions for global payroll, HR, sales, and workforce operations.
- Partner with non-technical stakeholders to identify pain points, prioritize use cases, define success metrics, map workflows, and translate business requirements into technical solutions.
- Build LLM-enabled and agentic workflows on Akai using prompt-driven processes, tool integrations, structured data pipelines, recommendation systems, human review steps, monitoring, and error handling.
- Built Mission Control, a daily workspace that consolidates prioritized work, account context, and recommended actions for more than 200 Global Workforce Consultants.
- Drove adoption through early stakeholder involvement, iterative prototypes, user feedback, documentation, demonstrations, and integration into existing operational processes.
- Built AI workflows that identify upsell and cross-sell opportunities, gather signals from multiple systems, generate recommendations, and route actions to customer-facing teams.
- Improved the PRM expense approval workflow from 86% to 96% automated approvals, reducing manual effort while preserving accuracy and operational controls.
- Led the Canada and Singapore Deel Liabilities Report implementation under tight timelines, automating a previously manual payroll process.
- Designed a background-processing pipeline to fetch reports from Payspace, extract required values, publish events to NATS, support downstream systems, and handle retries, monitoring, partial failures, and operational errors.
- The DLR implementation now processes hundreds of thousands of payroll operations automatically.
- Collaborate with Product, Design, Payroll Operations, Revenue Operations, Sales, Customer Success, and engineering teams throughout discovery, implementation, testing, rollout, and support.

Projects

Education

University of Nairobi
Sep 2012 — Jun 2016
Bachelor of Science in Computer Information Systems