Role Context
InvestCloud is 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.
InvestCloud’s Private 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 at managed-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 teams operate across 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 broader InvestCloud 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 solutions and would suit an individual who is excited by the opportunity to work with the business to define the problem and then build greenfield solutions.
What You’ll Be 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
Engineering & Tool Development
- Contribute to the development of PMN platform features and internal applications.
- Build lightweight AI-enabled tools and workflow automations that solve real business problems.
- Integrate APIs, services, and data sources across the InvestCloud ecosystem.
- 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 and maintained.
Collaboration
- Work closely with PMN engineering, product and operations teams.
- Partner with senior engineers to deliver production-quality solutions.
- Share ideas and contribute to a collaborative engineering culture.
- Learn quickly in a fast-moving environment with real business problems to solve.
Key Stakeholders
- PMN Engineering Leadership
- Product & Prototyping Lead
- PMN Operations
- InvestCloud Core Platform Engineering
- Internal business stakeholders
Essential Skills & Experience
- 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 programming language such as Python or Golang.
- 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 communication and collaboration skills.
- Excited by building practical software products in a fast-moving environment.
Desirable Skills & Experience
- 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, and SaaS platforms
- Understanding of software 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.
- Enjoys building 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 to complex 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
- Technology Forward
- Respect + Integrity
- Excellence
Compensation & Benefits
- Competitive base salary
- Discretionary bonus
- Excellent pension, private medical, life assurance
- Hybrid working model
- 28 days holiday plus bank holidays
#LI-BH1
The actual salary will vary based on the applicant’s education, experience, skills, and abilities, as well as internal equity and alignment with market data. The salary may also be adjusted based on the applicant’s geographic location.
