AI Engineer

Leading the architecture, design, strategy, development and implementation of agentic AI systems capable of goal-driven decision-making, planning, and action under real-world constraints

Translate product and customer requirements into production grade AI system designs

Drive rapid iteration of deployment while maintaining system reliability and safety

Participating in peer-reviews of solution designs and related code

Working with teammates to dive efβiciencies to development procedures

Analyzing and resolving technical problems

Deβining standards for the platform to deliver AI solutions

Balance learning-based approaches with deterministic or rules-based components where appropriate

Support customer-facing and sales technical discussions when AI and platform expertise is required

Requirements

BS or above in Computer Science, Data Science, AI Engineering or technical equivalent.

3 to 5+ years in applied AL / ML solution development

3+ years Software Development experience using the Python ecosystem

An agile self-starter with a software craftsmanship mindset and the ability to act on their own initiative and self-direct.

Experience dealing with uncleaned real-world data.

Experience working with domain experts to improve problem definitions, metric selection, and feature selection.

Experience working with a globally distributed team in different time zones.

Advantageous Experience/Skills

• 2+ years building agentic AI using common frameworks / MCP
• At least 1+ years developing RL agent/ LLMs & RAG/ anomaly prediction & forecasting solutions
• 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
• Experience working in the water industry
• AI certifications
• Visit the company's website for more information
• Visit website