Associate AI Engineer

Invest Cloudis a private-equity backed platform business supporting over $6 trillion of 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.

Invest Cloud’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.

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 broader

Invest

Cloud ecosystem.

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 solution sand would suit an individual who is excited by the opportunity to work with thebusinessto define the problem and then build greenfield solutions.

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.

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

• Apply modern AI tooling such as LLMs, retrieval workflows, and prompt engineering in practical use cases.
• Help prototype and product ionize 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.

• 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 and maintained.
• Work closely with PMN engineering,product and operations teams.
• Partner with senior engineers todeliver production-quality solutions.
• Share ideas and contribute to a…