Forward Deployed Engineer, Mid-Market - São Paulo (AI)

Location: São Paulo, Brazil; hybrid with 3 days per week in the São Paulo office and 2 days remote

Company

hirify.global deploys voice and multichannel AI agents for debt collection, helping banks and other businesses improve recovery rates through personalized communication.

What you will do

• Run multiple mid-market implementations from kickoff to go-live on approximately four-week timelines.
• Configure and adapt AI agents to customer policies, products, tone, and segment-specific workflows.
• Configure debtor-contact strategies, including call windows, retry and frequency rules, channel mix, payment links, and hand-offs to human agents.
• Set up standard customer data imports and exports, test agents through simulations and evaluations, and fix launch issues.
• Analyze production performance with SQL and dashboards, explain results to customers, and improve agents and contact strategies.
• Turn repeated implementation work into templates, scripts, tooling, and standard workflows; document handovers and share feedback with Product and Engineering.

Requirements

• 1–3 years of experience in a technical role such as software engineering, solutions engineering, implementation, technical support, or technical consulting; strong graduates are welcome.
• Ability to write Python and/or TypeScript and SQL, work with APIs, and handle data files.
• Interest in structured, repeatable work and automating recurring tasks.
• Ability to manage several projects simultaneously and keep each one on schedule.
• Clear communication with customers and teammates.
• Native-level Portuguese and fluent English required.

Nice to have

• Hands-on experience with LLMs, including prompting, evaluations, or building small agents.
• Exposure to collections, lending, telco, utilities, or other customer operations.
• Computer Science, Engineering, or Math degree, or equivalent experience.

Culture & Benefits

• Competitive salary based on skills, experience, and impact.
• Stock options and the opportunity to contribute during the startup’s early growth.
• Continuous learning through training, knowledge-sharing, and exposure to other startups.
• Flexible hybrid work with 3 office days and 2 remote days by default.
• Inclusive and equitable workplace focused on diverse perspectives and employee empowerment.

Hiring process

• First interview with a future teammate, followed by a technical deep dive with the Hiring Manager and potentially another team member.
• Practical technical assessment or business case, followed by a call with the founders.