Forward Deployed Engineer, Mid-Market - São Paulo

Murphy AI; United States; Hybrid; USD 32,000 - 50,000; Full time

Benefits offered by this job

Stock options

Training and knowledge sharing

Hybrid schedule in São Paulo

Job summary

Murphy AI is hiring to launch and improve AI agents supporting debt collection for mid-market customers in Brazil. You will manage multiple implementations from kickoff to production in about four weeks, using performance data and feedback to improve agents and delivery processes.

The role is based in São Paulo and serves various industries. You will work with Python/TypeScript, SQL, and APIs, coordinate with customers and teams, and help scale templates and tools for repeatable work while

Qualifications

• 1–3 years in a technical role such as software or solutions engineering, implementation, technical support or consulting; strong graduates are also welcome.
• Ability to work with Python and/or TypeScript, SQL, APIs and data files.
• Interest in structured, repeatable work and automating tasks where possible.
• Ability to manage several projects at once and keep them moving on schedule.
• Clear communication with customers and teammates.
• Native-level Portuguese and fluent English.

Responsibilities

• Run parallel customer implementations from planning through go-live, keeping each on schedule.
• Adapt reusable agent templates to customer policies, products and communication style.
• Configure contact timing, retries, channels, payment links and handoffs to human agents within applicable regulations.
• Set up customer data imports and exports, and test agents with simulations before launch.
• Analyze production outcomes such as contact rates, payment promises and completed payments; explain findings and refine agents or contact strategies.
• Turn recurring implementation work into templates or tools, document handoffs, and share customer feedback and product gaps with product and engineering teams.

Skills

Python

TypeScript

SQL

APIs

Data files

Education

Degree in CS/Engineering/Math

Job description

Role overview

Launch and improve AI agents that support debt collection for mid-market customers in Brazil. You’ll manage several implementations at once, taking each from kickoff to production in roughly four weeks, then use performance data and customer feedback to improve the agent and the team’s delivery process. The role is based in São Paulo and serves organizations across lending, telecom, utilities, healthcare and servicing.

Responsibilities

• Run parallel customer implementations from planning through go-live, keeping each on schedule.
• Adapt reusable agent templates to customer policies, products and communication style.
• Configure contact timing, retries, channels, payment links and handoffs to human agents within applicable regulations.
• Set up customer data imports and exports, and test agents with simulations before launch.
• Analyze production outcomes such as contact rates, payment promises and completed payments; explain findings and refine agents or contact strategies.
• Turn recurring implementation work into templates or tools, document handoffs, and share customer feedback and product gaps with product and engineering teams.

Requirements

• Around 1–3 years in a technical role such as software or solutions engineering, implementation, technical support or consulting; strong graduates are also welcome.
• Ability to work with Python and/or TypeScript, SQL, APIs and data files.
• Interest in structured, repeatable work and automating tasks where possible.
• Ability to manage several projects at once and keep them moving on schedule.
• Clear communication with customers and teammates.
• Native-level Portuguese and fluent English.

Nice to have

• Practical experience with LLMs, including prompting, evaluations or small agent projects.
• Exposure to collections, lending, telecom, utilities or related customer operations.
• A degree in computer science, engineering or mathematics, or equivalent experience.

Benefits and work setup

• Competitive salary based on skills, experience and impact, plus stock options.
• Training, knowledge sharing and opportunities to learn from other startups.
• Hybrid schedule in São Paulo: typically three days in the office and two remote, with flexibility in how you organize your work.