Forward Deployed Engineer, Enterprise - Madrid

Murphy AI; United States; Hybrid; USD 66,000 - 133,000; Full time

Benefits offered by this job

Stock options

Learning and development

Hybrid setup in Madrid

Job summary

Murphy AI is seeking an experienced engineer to build and launch AI agents that support debt collection for banks in Spain. You will lead deployments from scoping through to production, translating policies and systems into reliable workflows and using performance data to improve agent behavior and outcomes.

Based in Madrid, you will collaborate with customer teams, design prompts and logs-based safeguards, and integrate with banking and telephony systems.

Qualifications

• Experience in software engineering, solutions or implementation engineering, technical consulting, or technical product work.
• Ability to write code and SQL, use APIs and deliver integrations from start to finish.
• Practical experience building with LLMs, including prompting, evaluation, safeguards or tool use.
• Experience delivering and iterating on tested production systems for enterprise customers.
• Clear communication with senior stakeholders and the ability to turn requirements into a delivery plan.

Responsibilities

• Own enterprise implementations end to end, including scoping, configuration, evaluation and production rollout.
• Work with customer teams to define agent actions, safeguards, escalation paths and contact strategies.
• Design prompts and agent logic for identification, negotiation and payment conversations across channels and languages.
• Integrate with customer banking, collections, data and telephony systems; investigate issues through logs, traces and conversation records.
• Build simulations, evaluation tools and regression checks to catch errors and behavior changes before they affect customers.
• Analyze contact, payment and funnel performance with SQL and dashboards, then explain findings and recommend improvements.

Skills

Software engineering

SQL

APIs and integrations

LLMs prompting

Stakeholder communication

Education

Bachelor's degree in CS or related field

Job description

Role overview

Build and launch AI agents that support debt collection for banks and large lenders, translating customer policies, systems and operating goals into reliable production workflows. Based in Madrid, you will lead deployments in Spain from early scoping and proof of concept through launch, then use performance data to improve agent behavior and customer outcomes.

Responsibilities

• Own enterprise implementations end to end, including scoping, configuration, evaluation and production rollout.
• Work with customer teams to define agent actions, safeguards, escalation paths and contact strategies.
• Design prompts and agent logic for identification, negotiation and payment conversations across channels and languages.
• Integrate with customer banking, collections, data and telephony systems; investigate issues through logs, traces and conversation records.
• Build simulations, evaluation tools and regression checks to catch errors and behavior changes before they affect customers.
• Analyze contact, payment and funnel performance with SQL and dashboards, then explain findings and recommend improvements.

Requirements

• Experience in software engineering, solutions or implementation engineering, technical consulting, or technical product work.
• Ability to write code and SQL, use APIs and deliver integrations from start to finish.
• Practical experience building with LLMs, including prompting, evaluation, safeguards or tool use.
• Experience delivering and iterating on tested production systems for enterprise customers.
• Clear communication with senior stakeholders and the ability to turn requirements into a delivery plan.
• Native-level Spanish and fluent English; comfort working through ambiguity and changing needs.

Nice to have

• Experience in banking, lending, collections or regulated customer communications; voice AI or telephony experience; or a relevant degree or equivalent experience.

Benefits and work setup

• Competitive, skills-based compensation, stock options, and ongoing learning and development.
• Hybrid setup based in Madrid, typically three office days and two remote days per week, with flexibility in how work is organized.