AI-based optimization system for renewable energy

The company, an established company in DeepTech headquartered in United States, needed to solve this challenge: “AI-based optimization system for renewable energy”. The market for senior talent with demonstrable experience in that technology stack is scarce, and they had already tried to fill the position without success, with the resulting added expense and lost opportunity. On top of this, there were methodological problems in team and project management: inconsistent agile ceremonies, poor visibility into dependencies, and a delivery cadence that was hard to predict. The budget was tight, leaving no room to absorb additional overruns or delays.

Squad Challenge designed 2 challenges, one per position, based on the business case itself, with an average of 5 candidates analyzed per position (10 evaluated in total), delivering the final shortlist in 10 days. Since the team also carried methodological management problems, Squadmakers recommended adding an Agile Coach to the squad to bring order to ceremonies, planning, and priorities.

Building on that foundation already validated by Squad Challenge, Squad Hiring formalized the AOR-based hiring within 24h: contracts adapted to each developer's country of origin, data validation, and onboarding.

Over 22 months, an Enabling Team with specialists in data and AI and product scalability joined temporarily, focused on speeding up delivery and transferring best practices to the client's team. As in all Enabling Team projects, the working methodology was an adaptation of Agile to the client's type of organization.

In total, the squad was made up of 3 profiles (mobile developer, DevOps/SRE, Agile Coach), working on a stack of Python (Django), Streamlit, MongoDB, PostgreSQL, GitHub, Azure, Flutter. The company already had its own technical team, into which the professionals proposed by Squadmakers integrated directly —they become part of the client's team, not Squadmakers'—, respecting existing processes and priorities. The engagement ran for 22 months in total.