Forward Deployed Engineer – Investment Technology - Excellent Comp + Benefits

Mondrian Alpha; Greater London; On-site; GBP 70,000 - 110,000; Full time

Job summary

Mondrian Alpha is seeking a Forward Deployed Engineer in London to join the Investment Team. You will design, build and deploy AI-powered tools that support due diligence, financial model validation and portfolio monitoring.

Develop production‑grade Python applications using LLM technologies (RAG, agentic workflows, evaluation frameworks) and deliver robust solutions for high‑stakes investment workflows.

Qualifications

• 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

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

RAG

Production-grade software

Tools

Git

CI/CD

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

Apply now following the link below or send your resume directly to [e-mail].