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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and testing AI tools, applications, and prototypes while effectively translating complex AI concepts for diverse audiences. Strong client-facing skills and a practical understanding of large language models and AI evaluation methodologies are essential.
Highest-signal resume keywords
AI Tools DevelopmentLarge Language Models UnderstandingClient-Facing CommunicationSolutions Engineering ExperienceTechnical Advisory Skills
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AI PrototypingAPI IntegrationPrompt EngineeringFine-TuningRAGEmbeddingsVector DatabasesHuman-in-the-Loop ApproachesAI Evaluation and SafetyProblem Decomposition
Soft Skills
Clear CommunicationClient Relationship ManagementProblem-Solving
Tools & Technologies
CodexClaude CodeCursorAI ModelsDeveloper ToolsMCPOrchestration Tools
Industry Keywords
AI ConsultingSolutions EngineeringTechnical Pre-SalesApplied AITechnology Industry
About the role
Key responsibilities & impact- Act as a trusted AI technical advisor to clients and internal teams
- Support new client opportunities by understanding technical requirements, assessing feasibility and risk, identifying dependencies, and translating findings into deliverable approaches
- Review technical quality and readiness across existing AI programmes
- Review content, labs, code examples and demonstrations for accuracy
- Test technical exercises
- Build and test lightweight prototypes, proofs of concept, labs, simulations and internal tools
- Work directly with AI models, APIs and developer tools to validate proposed approaches
- Translate complex AI concepts and terminology into clear, actionable briefs
- Advise on appropriate AI tools and approaches, including trade-offs
- Identify and navigate gaps between client expectations and technical reality
- Brief and support facilitators on complex AI concepts, demonstrations and likely client questions
- Keep pace with AI models, developer tooling and implementation practices and provide practical recommendations
- Capture and share useful technical patterns
- Ensure Quadmark's AI work is technically sound from the first client conversation through delivery
Requirements
What you’ll need- Hands-on experience building and testing AI tools, applications, labs, simulations, prototypes or API integrations
- Strong practical understanding of large language models and foundation models, including how they work, their limitations, context and data flows and multimodality
- Experience with RAG, embeddings, vector databases, prompt engineering and fine-tuning
- Familiarity with agentic systems, tools and actions, workflows, orchestration and MCP
- Understanding of AI evaluation and safety, including evals, guardrails, moderation, human-in-the-loop approaches and observability
- Advisory, consulting, solutions engineering or similar experience helping others understand which AI tools or approaches to use and why
- Strong client-facing experience, including communicating confidently with senior and technical client stakeholders
- Ability to translate complicated technical information into simple, precise language for different audiences and teams
- Strong problem decomposition skills
- Must be eligible to work in the UK
- Bonus: background in the technology industry
- Bonus: experience in solutions engineering, forward-deployed engineering, applied AI or technical pre-sales
- Bonus: experience in learning, enablement or consultancy
- Bonus: hands-on experience with current developer tools such as Codex, Claude Code or Cursor
- Bonus: experience working with major technology clients or partners
Benefits
Comp & perks- Flexible remote-first working
- Quarterly in-person team days
- Private medical insurance
- Travel insurance
- EAP and mental health support
- 25 days' UK annual leave
- Three-day paid shutdown at the end of the year