Associate AI Engineer

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

About InvestCloud

Our Values

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.