AI-based optimization system for renewable energy

The company, an established company inDeepTech headquartered in United States, needed to solve this challenge:“aI-based optimization system for renewable energy”. The market for seniortalent with demonstrable experience in that technology stack is scarce, andthey had already tried to fill the position without success, with the resultingadded expense and lost opportunity. On top of this, there were methodologicalproblems in team and project management: inconsistent agile ceremonies, poorvisibility 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 5candidates analyzed per position (10 evaluated in total), delivering the finalshortlist in 10 days. Since the team also carried methodological managementproblems, Squadmakers recommended adding a Agile Coach to the squad to bringorder to ceremonies, planning, and priorities.

Building on that foundation alreadyvalidated by Squad Challenge, Squad Hiring formalized the AOR-based hiringwithin 24h: contracts adapted to each developer's country of origin, datavalidation, and onboarding.

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

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