Forward Deployed Engineer, Enterprise - London

Murphy AI; United States; Hybrid; USD 119,000 - 198,000; Full time

Benefits offered by this job

Hybrid work

Competitive salary

Stock options

Learning and development opportunities

Job summary

Murphy AI is seeking an engineer/product leader to own the build and operational performance of AI agents that support collections for banks and large lenders. You will partner with customer teams to translate policies into production-ready agents and continuously improve results.

The role is based in London and covers the UK and Ireland, with hybrid work arrangements. You will design prompts, implement safeguards, and work across channels and languages while tracking outcomes with SQL and

Qualifications

• Experience in software engineering, technical consulting or technical product management.
• Ability to write code and SQL, use APIs and build integrations end to end.
• Hands-on experience with LLMs, including prompting, evaluations, safeguards, testing harnesses or tool use.
• Experience delivering production systems for enterprise customers and iterating with structured tests.
• Clear communication with senior stakeholders and ability to make delivery plans from technical requirements.
• Fluent English and comfort working in fast-moving, ambiguous settings.

Responsibilities

• Deliver enterprise agent deployments from initial scoping and proof of concept through testing and production launch.
• Translate customer requirements into agent procedures, safeguards and escalation paths for sensitive conversations.
• Design prompts and logic for identification, negotiation and payment interactions across channels and languages.
• Configure contact timing, retry and frequency rules, channel mix, payment links and handoffs to human teams.
• Build evaluations and regression tests, maintain integrations with customer systems, and diagnose problems through transcripts, traces and logs.
• Analyze production results with SQL and dashboards, share findings with customer stakeholders and make targeted improvements.

Skills

Software engineering

Technical consulting

Technical product management

LLMs prompting

Delivery planning

Tools

APIs

SQL

Integrations

Job description

Role overview

Own the build and operational performance of AI agents that support collections for banks and large lenders. You’ll partner with customer teams to turn their policies and systems into production-ready agents, then review results and improve the agent and outreach approach over time. The role is based in London and covers the UK and Ireland.

Responsibilities

• Deliver enterprise agent deployments from initial scoping and proof of concept through testing and production launch.
• Translate customer requirements into agent procedures, safeguards and escalation paths for sensitive conversations.
• Design prompts and logic for identification, negotiation and payment interactions across channels and languages.
• Configure contact timing, retry and frequency rules, channel mix, payment links and handoffs to human teams.
• Build evaluations and regression tests, maintain integrations with customer systems, and diagnose problems through transcripts, traces and logs.
• Analyze production results with SQL and dashboards, share findings with customer stakeholders and make targeted improvements.

Requirements

• Experience in software engineering, technical consulting or technical product management.
• Ability to write code and SQL, use APIs and build integrations end to end.
• Hands-on experience with LLMs, including prompting, evaluations, safeguards, testing harnesses or tool use.
• Experience delivering production systems for enterprise customers and iterating with structured tests.
• Clear communication with senior stakeholders and ability to make delivery plans from technical requirements.
• Fluent English and comfort working in fast-moving, ambiguous settings.

Nice to have

• Spanish, Portuguese, French, Arabic, German or Italian language skills.
• Experience in banking, lending, collections or regulated communications.
• Voice AI or telephony experience; a relevant degree or equivalent experience.

Benefits and work setup

• Hybrid work, typically three days per week in the London office and two remote, with flexibility in organizing work.
• Competitive salary, stock options, and learning and development opportunities.