Associate AI Engineer

InvestCloud; Greater London; On-site; GBP 55,000 - 90,000; Full time

Job summary

InvestCloud is seeking an early-career engineer to build AI-enabled tools and internal applications within PMN. You will connect systems, APIs, and data, while delivering practical software products in a fast-moving fintech environment.

You’ll work with experienced engineers, product, and operations to own end-to-end builds, learn modern AI frameworks, and contribute to production-quality solutions across PMN and InvestCloud ecosystem.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 1–2 years of software engineering experience or portfolio.
• Familiarity with APIs, databases and cloud-based apps.
• Interest in AI tooling and LLM-based apps (OpenAI APIs, LangChain, RAG).
• Strong problem-solving and willingness to learn quickly.
• Good communication and collaboration skills.

Responsibilities

• Build internal AI-powered tools that automate operational tasks and improve workflows.
• Connect LLMs and AI services to APIs, data sources, and business data.
• Develop PMN platform features and internal applications across PMN ecosystem.
• Write clean, maintainable, well-tested code with guidance from senior engineers.
• Prototype and productionize AI-powered applications; evaluate value to the business.
• Support debugging, monitoring and ongoing improvements to live apps.
• Collaborate with product and engineering peers to turn concepts into production-ready tools.

Skills

Python

Golang

APIs

Databases

Cloud platforms

AI tooling

Problem solving

Communication

Education

Bachelor’s degree in Computer Science, Engineering, Mathematics, or related field

Tools

OpenAI APIs

LangChain

RAG pipelines

Job description

InvestCloudis a private-equity backed platform business supporting over$6 trillionof assets globally, with deep, long-standing relationships across the asset and wealth management ecosystem.Private markets are rapidly becoming a core part of wealth portfolios — but the industry infrastructure has not kept pace. Most wealth managers still rely on manual processes, fragmented data, and operational workarounds to deliver private market exposure.

InvestCloud’sPrivate Markets Network (PMN) is designed to change that. PMN is a network-level execution and processing platform that enables private market investments to be delivered atmanaged-account scale, with the same operational discipline and integration model that wealth managers expect in public markets.

This role sits within the PMN engineering team and is focused on building practical AI-powered applications and internal tools that help connect systems, automate workflows, and improve how teamsoperateacross the platform.

Purpose of the Role

We are looking for an early-career engineer who is excited about modern AI tooling and enjoys building real software products.This role would suit a strong graduate or someone with 1–2 years of software engineering experience who has experimented with LLMs, AI tooling, or automation projects either professionally, academically, or in their own time.

You will work closely with experienced engineers, product, and operations teams to help build AI-enabled tools and platform capabilities across PMN and the broaderInvestCloudecosystem.The work is highly practical and hands-on — connecting systems, building internal applications, integrating APIs, and using modern AI frameworks where they genuinely improve outcomes.

The role offers the opportunity to own the end-to-end build of technology solutionsand would suit an individual who is excited by the opportunity to work with thebusinessto define the problem and then build greenfield solutions.

WhatYou’llBe Doing

On any given week, you might be:

• Building internal AI-powered tools that automate operational tasks or improve team workflows.
• Connecting LLMs and AI services to existing systems, APIs, and business data.
• Helping develop platform features across PMN and adjacent services.
• Writing clean, maintainable, and well-tested code with support from senior engineers.
• Experimenting with AI tooling and helping evaluate where it can add value to the business.
• Supporting debugging, monitoring, and ongoing improvements to live applications.
• Collaborating with product and engineering peers to turn validated concepts into production-ready tools.

Key Responsibilities

• Contribute to the development of PMN platform features and internal applications.
• Build lightweight AI-enabled tools and workflow automations that solvereal businessproblems.
• Integrate APIs, services, and data sources across theInvestCloudecosystem.
• Work across backend services, internal tooling, and cloud-based applications.

AI & Automation

• Apply modern AI tooling such as LLMs, retrieval workflows, and prompt engineering in practical use cases.
• Help prototype and productionize AI-powered applications.
• Learn and apply best practices around evaluation, reliability, and responsible AI usage.
• Explore opportunities to improve efficiency through automation and intelligent tooling.

Software Development Best Practices

• Write clean, readable, and maintainable code.
• Participate in testing, code reviews, and documentation.
• Contribute to reliable and observable systems with proper logging and monitoring.
• Learn how large-scale production platforms are built andmaintained.
• Work closely with PMN engineering,productand operations teams.
• Partner with senior engineers todeliver production-quality solutions.
• Share ideas and contribute to a collaborative engineering culture.
• Learn quickly in a fast-moving environment withreal businessproblems to solve.

Key Stakeholders

• PMN Engineering Leadership
• PMN Operations
• InvestCloudCore Platform Engineering
• Internal business stakeholders
• Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field — or equivalent practical experience.
• 1–2 years of software engineering experience, internships, or strong personal/project portfolio.
• Comfortable coding in at least one modern programminglanguage such as PythonorGolang.
• Familiarity with APIs, databases, and cloud-based applications.
• Interest in AI tooling and LLM-based applications, including personal or academic projects using tools such as OpenAI APIs,LangChain, RAG pipelines, or similar frameworks.
• Strong problem-solving skills and willingness to learn quickly.
• Good communicationand collaboration skills.
• Excited by building practical software products in a fast-moving environment.
• Exposure to AI tooling, prompt engineering, or automation frameworks.
• Side projects, hackathons, internships, or open-source contributions involving AI or workflow automation.
• Familiarity with cloud platforms such as AWS, Azure, or GCP.
• Exposure to financial services,private markets, andSaaS platforms
• Understanding ofsoftware testing, debugging, and deployment fundamentals.

Personal Attributes

• Curious and enthusiastic about modern AI tooling and software engineering.
• Pragmatic and eager to learn from experienced teammates.
• Enjoysbuilding things and solving practical problems.
• Comfortable working across different systems and technologies.
• Collaborative, adaptable, and motivated by ownership and delivery.

Why This Role Is Different

This role offers:

• The opportunity to work on real-world AI applications in production, not just prototypes.
• Exposure tocomplex platform systems and large-scale financial technology infrastructure.
• A chance to learn from experienced engineers while contributing meaningful code from day one.
• Broad technical exposure across platform engineering, AI tooling, automation, and internal applications.
• Significant growth potential as the PMN platform and AI capabilities continue to expand.

About InvestCloud

InvestCloud, a global leader in wealth technology, aspires to enable a smarter financial future. Driving the digital transformation of the wealth management industry, the company serves a broad array of clients globally, including Wealth and Asset Managers, Wirehouses, Banks, RIAs, and Insurers. In terms of scale, the company’s clients represent more than 40 percent of the $132 trillion of total assets globally. As a leader in delivering personalization and scale across advisory programs, including unified managed accounts (UMA) and separately managed accounts (SMA), the company is committed to the success of its clients. By equipping and enabling advisors and their clients with connected technology, enhanced intelligence, and inspired experiences, InvestCloud delivers leading digital wealth management and financial planning solutions, complemented by a dynamic data warehouse, which scale across the complete wealth continuum. In 2024, InvestCloud was named CNBC World’s Top Fintech Company, a proof point of the company’s commitment to innovation and client success. Headquartered in the United States, InvestCloud serves clients around the world. For more information, visit InvestCloud.com .

Our Values

• Client Connected
• Human Centered
• Respect + Integrity
• Discretionary bonus

Theactualsalarywillvarybasedontheapplicant’seducation,experience,skills,andabilities,aswellasinternalequityandalignmentwithmarketdata.Thesalarymayalsobeadjustedbasedontheapplicant’sgeographiclocation.