Careers at Nard
Help build AI that fits the business.
We are always interested in thoughtful designers, engineers and problem-solvers who care about useful technology and the quality of their work.
View rolesShow us your work
A title tells us what you do.Your work shows us how you think.
A CV is welcome. A portfolio is what helps us understand you. Show us the problem, the constraints, the decisions, the result and what you learned along the way.
Roles at Nard
Find where your best work could make a difference.
Applications are always welcome. If we are not currently hiring for the role, we will keep your details in mind and contact you when a suitable opportunity becomes available.
- 01
Product Designer, UI/UX
Shape clear, distinctive digital experiences for AI systems that must make sense to real customers and operational teams.
Useful evidence- End-to-end product or service design
- Strong interface and interaction craft
- Research translated into design decisions
- Design systems and responsive work
- Case studies that explain how you think
- 02
AI Solutions Architect
Design practical AI systems around business workflows, information, integrations, controls and measurable outcomes.
Useful evidence- AI solution architecture
- LLM, retrieval or agentic systems
- Integration and data-flow design
- Security, evaluation and human oversight
- Technical decisions explained in business language
- 03
AI & Automation Engineer
Build reliable AI-supported workflows that connect requests, documents, decisions, systems and follow-up actions.
Useful evidence- Production AI or automation work
- APIs, integrations and workflow orchestration
- Document or message processing
- Testing, monitoring and failure handling
- Working demos, repositories or technical case studies
- 04
Full-Stack Product Engineer
Turn well-defined business needs into polished, dependable products across the interface, application and integration layers.
Useful evidence- Shipped web products
- Front-end quality and responsive implementation
- Back-end services and data modelling
- Authentication, permissions and integrations
- Live products, code or detailed build notes
- 05
AI Implementation Consultant / Business Analyst
Understand how a business works, identify where AI can help and translate operational needs into a focused implementation brief.
Useful evidence- Workflow and process analysis
- Discovery interviews and requirements work
- Service or operational improvement
- Clear documentation and stakeholder communication
- Examples of turning ambiguity into an actionable plan
Your role is not listed?
If your work could strengthen how Nard designs, builds or delivers practical AI systems, introduce yourself. Strong work matters more than matching an exact title.
What matters here
Good judgement is part of the craft.
Business understanding
See the real problem before reaching for a technical answer.
Craft
Care about the clarity, reliability and finish of the work.
Ownership
Take responsibility for decisions, details and the outcome.
Thoughtful AI
Build useful intelligence with appropriate boundaries and human control.
Show us your work
We care about what you made and how you made it.
Send your CV and the strongest evidence of your work: a portfolio, case study, GitHub repository, live demo, research, technical article or a clear breakdown of a difficult problem you solved.
Apply by email