Associate AI Engineer: Build Real-World AI Tools

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

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.