AI Engineer

Overview

• Be part of a growing company that focuses on AI
• Opportunity to build and lead the projects end to end of AI systems

About Our Client

A global startup focused on building production‑grade AI systems for mission‑critical industrial and water‑treatment operations. It specializes in continuously operating, adaptive AI platforms that help customers reduce operational costs, minimize downtime, improve efficiency, and meet compliance standards by deploying end‑to‑end digital and AI solutions in real‑world environments.

Job Description

• Builder role
• Own the end‑to‑end architecture, design, and delivery of agentic AI systems that support goal‑oriented decision making, planning, and action in real‑world conditions
• Convert customer and product needs into robust, production‑ready AI system architectures
• Enable fast, continuous deployment cycles while ensuring reliability, safety, and stability
• Contribute to peer reviews of AI designs and code to maintain quality and consistency
• Collaborate with the team to streamline and improve development workflows
• Investigate, diagnose, and resolve complex technical challenges
• Establish and evolve platform standards for delivering AI solutions
• Appropriately combine learning‑based methods with deterministic or rules‑driven approaches when best suited

The Successful Applicant

• 5+ years in applied AL / ML solution development
• 3+ years Software Development experience using the Python ecosystem
• 2+ years building agentic AI using common frameworks / MCP
• 1+ years developing RL agent solutions
• Or 1+ years developing solutions with LLMs & RAG
• Or 1+ years developing anomaly prediction & forecasting
• An agile self-starter with a software craftsmanship mindset and the ability to act on own initiative and self‑direct.
• Experience dealing with uncleaned real-world data.
• Experience working with domain experts to improve problem deinitions, metric selection, and feature selection.
• Experience working with a globally distributed team in different time zones.

Secondary Requirements

• 2+ years IoT and Timeseries data manipulation
• 2+ years AWS cloud and/or Docker
• Proficiency with MLOps
• Digital twins, physical models / simulators, or model-based RL
• Experience using AI for industrial process control
• Working Knowledge of Test‑Driven Development
• Working knowledge of SOC2 & ISO 27001 standards

What's on Offer

• Be part of a growing company that focuses on AI
• Opportunity to build and lead the architecture, design, strategy, development, and implementation of AI systems
• Competitive compensation