Agentic AI built for production, not demos

Through ServiceBüro, this AI/ML Engineer designed LangGraph agent systems that run reliably at scale and knows when traditional ML is the better tool for the job.

Plenty of AI looks impressive in a demo but breaks in production. This AI/ML Engineer builds systems that do, designing role-specific LangGraph agents, validating AI APIs against live front-ends, and applying traditional ML wherever it outperforms an agent. Through ServiceBüro, that judgement comes proven across revenue optimisation and fraud detection delivered solo, end-to-end.

Ideal environments

Where AI decisions touch revenue or risk, reliability isn't optional, and a system that hallucinates or over-fits is a liability. ServiceBuro offers reliable talent that has built exactly these systems, choosing autonomous agents or traditional ML per problem and integrating directly with production front-ends. This engineer ships AI that runs at commercial scale, from revenue optimisation to fraud detection and marketing analytics.

Core capabilities

LangGraph agents are designed role-specific rather than general-purpose, which narrows their task and minimises hallucination. AI APIs are built and validated alongside front-end teams so they hold up in live production. Structured output validation enforces reliable agent behaviour as volume grows. And revenue optimisation, A/B lift testing, and marketing analytics tie the AI work directly to measurable commercial outcomes.

Production track record

Recent production work spans four live systems: This engineer has built a Revenue Optimisation System, with APIs connecting it to the live product front-end. A Marketing Channel Analytics system identifies best-performing channels by budget allocation, with A/B lift testing across UK and international markets. A Fraud Detection system pairs XGBoost and SMOTE with an autonomous AI agent that classifies fraud patterns across statistical and behavioural edge cases. Lastly, a Customer Churn & Retention model scores churn at the individual-customer level for a large enterprise.

The ServiceBüro advantage

This engineer delivers production AI with the judgement to match the method to the problem, with autonomous agents where they help, traditional ML where it's the stronger choice. Through ServiceBüro's workforce model, that calibre comes at up to 70% less an equivalent Singapore hire.

Every ServiceBüro placement clears a multi-stage screening process that fewer than 1 in 100 applicants pass, assessed on technical depth, communication, and real-world delivery, not paper credentials. Engagements run project-based or permanent, with ServiceBüro acting as Employer of Record to handle payroll, contracts, and compliance, and roles filled in as little as 14 days.

Looking for this calibre of AI talent? Book a call to discuss a specific role at serviceburo.net.