AI-Driven Product Engineer — Own the Outcome

fscom

Belfast City District

On-site

GBP 85,000 - 110,000

Full time

14 hours ago

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Job summary

fscom Compliance Maturity Specialists™ is expanding a new AI-driven product team led by our Head of AI and Technology. You will own outcomes, not just requirements, shipping AI-enabled features from idea to production.

You will collaborate with product stakeholders to translate problems into practical technical solutions, employing Claude-based workflows and modern cloud platforms to deliver value in a regulated financial services context.

Qualifications

2+ years' experience in AI first software engineering within agile processes and Jira supported Product Engineering workflows.
Experience with AI-drive agentic engineering tools (e.g. Claude Code, Replit, GitHub Copilot) including deployment to cloud services such as Azure, AWS, GCP.
Strong OOP skills (Java, Python or C#). Experience with CI/CD pipelines and DevOps practices.
Hands-on full-stack development skills, with the ability to build and ship working software using modern web frameworks, APIs and cloud platforms.
Strong understanding of software engineering fundamentals including architecture, testing, security, version control, code quality and maintainability.
Strong requirements skills, including PRDs, user stories, personas, journey maps.
Comfortable working directly with users and stakeholders, understanding how product experience feedback help drives what outcomes we build to deliver on next.
Experience in financial services, RegTech or another regulated environment.
Familiarity with compliance or regulatory topics, such as AML, Consumer Duty or safeguarding, or a genuine interest in learning them.
Previous experience with LLM and understanding of the limitations, including hallucination, inconsistent outputs, context limitations and model variability.
Awareness of AI governance and data protection requirements, such as the EU AI Act and UK GDPR.
Experience helping to build a new team or product in a start-up, scale-up or innovation setting.

Responsibilities

Adopt AI first requirements documentation, data analysis and idea-to-prototype development, using our Claude-based MCP workflow to move from requirements to prototype to shipped production code.
Go beyond static specifications where useful, building clickable or functional prototypes with AI-assisted development to validate ideas with users and engineers before committing to a full build.
Use AI-native development tools such as Claude Code, GitHub Copilot, Replit or equivalent to accelerate software delivery.
Build reusable AI components, patterns and engineering practices that can be used across fscom's products.
Experiment rapidly with new AI capabilities and turn successful experiments into robust, maintainable production solutions.
Work with product and business stakeholders to translate problems into practical technical solutions ensuring viable commercial return.
Contribute to technical architecture, engineering standards, CI/CD and production operations.
Stay current with rapidly evolving AI technologies and identify opportunities that could create meaningful customer or business value.
Create feedback loops across teams and help colleagues build product-centric thinking and a focus on quality.
Track and report regularly on objectives and key results (OKRs), making sure product performance supports wider business goals.
Take part in agile ceremonies, including sprint planning, stand-ups, Labs sessions and internal show-and-tells.