Forward Deployed Engineer – Leading PE - Excellent Comp + Benefits

Mondrian Alpha; Greater London; On-site; GBP 90,000 - 130,000; Full time

Job summary

Mondrian Alpha in London seeks a Forward Deployed Engineer to join the Investment Team. You will design, build and deploy AI-powered applications that support every stage of the investment lifecycle—from due diligence to portfolio monitoring.

This hands-on role delivers production-grade tools working with investment professionals, a central AI engineering function, and fast-paced decision-making environments. You will own delivery from scoping to deployment, ensuring robustness and governance.

Qualifications

• 5+ years of professional software engineering experience building production applications.
• Strong Python and SQL skills, with production-quality software experience.
• Hands-on experience building and deploying LLM-powered applications, including RAG pipelines and agentic workflows.
• Experience collaborating with financial, commercial or investment professionals in embedded/consulting roles.
• Ability to work in ambiguous, fast-paced environments with stakeholder management.
• Knowledge of financial services, private equity, investment banking or fintech is advantageous.

Responsibilities

• Partner directly with investment professionals to understand workflows and translate them into production-ready AI applications.
• Build and maintain AI-powered diligence tools, financial model review solutions, investment committee memo generators and portfolio monitoring dashboards.
• Develop production-grade Python applications using modern LLM technologies, including RAG pipelines, agentic workflows and evaluation frameworks.
• Own delivery from initial scoping through deployment, iteration and ongoing maintenance.
• Collaborate closely with a central AI engineering function to improve shared tooling, governance and reusable components.
• Ensure solutions are robust, well-tested and trusted in high-stakes investment decision-making environments.

Skills

Python

SQL

LLM

Stakeholder mgmt

Job description

My client, a leading private equity firm, is seeking a Forward Deployed Engineer to join their Investment Team in London.

This is a unique opportunity to join a newly established engineering function embedded directly within the investment team. You'll work alongside investment professionals to design, build and deploy AI-powered applications that enhance every stage of the investment lifecycle - from due diligence and financial model validation to investment committee preparation and portfolio monitoring. This is a hands-on delivery role focused on building production-grade tools that become integral to the day-to-day workflow of investment teams.

What You'll Do:

• Partner directly with investment professionals to understand workflows and translate them into production-ready AI applications
• Build and maintain AI-powered diligence tools, financial model review solutions, investment committee memo generators and portfolio monitoring dashboards
• Develop production-grade Python applications using modern LLM technologies, including RAG pipelines, agentic workflows and evaluation frameworks
• Own delivery from initial scoping through deployment, iteration and ongoing maintenance
• Collaborate closely with a central AI engineering function to improve shared tooling, governance and reusable components
• Ensure solutions are robust, well-tested and trusted in high-stakes investment decision-making environments

Who You Are:

• 5+ years of professional software engineering experience building production applications
• Strong Python and SQL skills, with experience developing maintainable, production-quality software
• Hands-on experience building and deploying LLM-powered applications, including retrieval-augmented generation (RAG), agentic workflows and evaluation frameworks
• Experience working closely with financial, commercial or investment professionals in an embedded, consulting or product engineering capacity
• Strong understanding of software delivery, stakeholder management and working within ambiguous, fast-paced environments
• Familiarity with financial services, private equity, investment banking or fintech is advantageous, with sufficient financial acumen to understand investment workflows and identify inconsistencies in AI-generated outputs