AI Engineer

Provn are partnering with a growing WealthTech business building a modern platform used by financial advisers within the UK wealth ecosystem. The business is scaling following significant investment in its technology platform and product suite.

They're exploring how modern AI can fundamentally transform the way software products are built and delivered.
They've already developed a successful platform and are now investing in a greenfield initiative to determine whether multi-agent AI systems can automate large parts of their product creation process. Rather than building chatbots or simple copilots, the objective is to create autonomous AI workflows capable of drafting complex, domain-specific content with minimal engineering intervention.

This is a highly technical proof-of-concept role where you'll work directly alongside senior technical leadership to design, build and validate the next generation of their AI platform.
The Opportunity

The business is looking for an experienced software engineer with strong hands-on AI expertise to rapidly prototype and validate a new agentic architecture.

Initially, you'll focus on designing multi-agent workflows, experimenting with orchestration frameworks, integrating large language models, and determining the technical feasibility of a longer-term product strategy.

This is an opportunity to work on genuine greenfield engineering where you'll have significant influence over both the technical direction and future roadmap.

Technology Environment

• Python
• Azure
• Azure OpenAI Services
• OpenAI/Anthropic
• Multi-Agent Orchestration
• Agentic AI Workflows
• REST APIs
• GitHub
• Modern SDLC practices

The team is technology-led and open to adopting the most appropriate tooling where it delivers clear value, while remaining within the Azure ecosystem.
What They're Looking For

• Strong commercial software engineering background using Python
• Hands-on experience building production AI applications
• Experience with agentic workflows and multi-agent orchestration
• Experience working with modern LLMs including OpenAI or Anthropic
• Strong understanding of software engineering fundamentals including testing, clean code and SDLC
• Experience building scalable Back End services and APIs
• Ability to rapidly prototype, experiment and validate technical concepts
• Strong communication skills and the ability to work closely with senior technical stakeholders
• Experience with Azure AI Services, Azure OpenAI, knowledge graphs or modern AI orchestration frameworks would be advantageous but isn't essential. 

Why This Role

• Greenfield AI initiative with significant technical ownership
• Opportunity to influence long-term product strategy
• Work directly with senior engineering leadership
• Modern engineering environment focused on emerging AI technologies
• Outside IR35 contract
• Potential for extension beyond the initial engagement based on project success

Location
Hybrid role based in Edinburgh, with approximately two days per week onsite alongside the engineering team.|
Contract

• Initial 3-month contract
• Small business exempt (IR35)
• Immediate start
• Competitive day rate dependent on experience