Software Engineer (AI Services)

About Phaidra

Phaidra is building the future of industrial automation.

The world today is filled with static, monolithic infrastructure. Factories, power plants, buildings, etc. operate the same they've operated for decades — because the controls programming is hard-coded. Thousands of lines of rules and heuristics that define how the machines interact with each other. The result of all this hard-coding is that facilities are frozen in time, unable to adapt to their environment while their performance slowly degrades.

Phaidra creates AI-powered control systems for the industrial sector, enabling industrial facilities to automatically learn and improve over time. Specifically:

• We use reinforcement learning algorithms to provide this intelligence, converting raw sensor data into high-value actions and decisions.
• We focus on industrial applications, which tend to be well-sensorized with measurable KPIs — perfect for reinforcement learning.
• We enable domain experts (our users) to configure the AI control systems (i.e. agents) without writing code. They define what they want their AI agents to do, and we do it for them.

Our team has a track record of applying AI to some of the toughest problems. From achieving superhuman performance with DeepMind's AlphaGo, to reducing the energy required to cool Google's Data Centers by 40%, we deeply understand AI and how to apply it in production for massive impact.

Phaidra’s ability to achieve its mission is determined by our ability to work together — as defined by our core values: Transparency, Collaboration, Operational Excellence, Ownership, and Empathy. We seek individuals who embody these values, as they are instrumental in ensuring our team consistently delivers excellence and fosters an engaging and supportive culture

Phaidra is based in the USA but 100% remote; we do not have a physical office. We hire employees internationally with the help of our partner, OysterHR. Our team is currently located throughout the USA, Canada, UK, Norway, Italy, Sweden, Spain, Portugal, Japan, Singapore, and India.

Who You Are

We are looking for a driven Software Engineer (Backend, MLOps) to be a part of our growing AI Services team.

You are bold and creative, and have deep empathy for customers and users. You will design and implement significant parts of the code base and will have the opportunity to make an immediate impact with your work and guide the product and team as we grow.

You are curious and like to understand technologies and their tradeoffs in depth - contributing as a hands-on engineer to the team and support peers as required. You already have accumulated insights and experiences from your hands-on involvement in the field, and you are committed to rolling up your sleeves and getting work done. You like joining and supporting other engineers in their work to learn from them as well as letting them benefit from your expertise and experience.

You will design, implement and extend significant parts of the production AI hosting services and orchestration, taking opportunity to make an immediate impact with your work and guide the product and team as we grow.

*We are seeking a team member located within one of the following areas: USA, Canada, United Kingdom, Ireland, Norway, Spain, Italy, or Portugal. 

• In the United States, we accept applicants located in the following states: California, Colorado, Connecticut, Georgia, Indiana, Maryland, Minnesota, Missouri, Nebraska, New York, North Carolina, Pennsylvania, South Carolina, Tennessee, Texas, Virginia, Washington. 
• In Canada, we accept applicants located in the following provinces: Ontario, British Columbia, and Alberta.

Responsibilities

The AI Services team you are joining owns MLOps and the services hosting our production AI systems. These services are responsible for running and orchestrating our production AI capabilities incl. model training, inference, model deployment and monitoring. The team collaborates closely with our AI Core team which owns the production implementation of ML and AI agents and provides libraries that are leveraged by AI Services. Furthermore you will work on APIs that are consumed by other internal systems to manage our running AI systems and operations. You will join the existing AI Services team as an engineer with a focus on MLOps or backend solutions.

As an organization, we strongly believe in expertise across the sta