Artificial Intelligence Engineer

About MosaiQ

MosaiQ is a fast-growing AI company transforming how professional-services firms operate.

We work with consulting teams, private equity funds, investment advisors, and other knowledge-driven organisations to turn their expertise, judgment, and workflows into AI-powered systems — deployed in days, not months.

This is not “AI tooling for demos.”

This is production AI embedded into real decision-making and revenue-critical workflows.

Our Uniqueness

• We reverse-engineer real work, not abstract use cases
• We map tacit knowledge and judgment, not just data
• We build hybrid AI + human systems that actually get used
• We augment experts rather than replace them
• We deploy custom AI directly into business processes, with measurable impact
• We work hands-on with decision-makers who value speed, quality, and judgment

The Role

We are looking for a Senior Full-Stack / AI Engineer to work closely with the founding team and the core team to design, build, and deploy real AI systems for demanding professional-services clients.

You will not be handed toy problems or isolated tickets. You need to be a system thinker and ready to tackle complex problems.

You will help turn messy, high-stakes workflows into robust AI-powered products, from architecture to deployment.

Your work will directly shape MosaiQ’s platform, its AI modules, and how clients experience AI in practice.

Your Responsibilities

AI Systems & Product Engineering

• Design and build AI-powered workflows end-to-end (backend, frontend, orchestration)
• Implement and iterate on AI modules (LLMs, agents, retrieval, evaluation loops)
• Translate real business processes into reliable, testable systems
• Balance speed, robustness, and long-term maintainability

Full-Stack Development

• Build and evolve product interfaces used by real clients
• Develop APIs, services, and data pipelines supporting AI workflows
• Own features from concept → implementation → deployment
• Contribute to platform architecture and core components

AI Implementation & Quality

• Design prompts, system instructions, and evaluation criteria
• Implement human-in-the-loop workflows where judgment matters
• Debug failure modes, hallucinations, and edge cases
• Improve reliability, consistency, and explainability of outputs

Collaboration & Product Thinking

• Work directly with the founder on product direction and trade-offs
• Sit close to client problems to understand real constraints
• Help shape what becomes reusable platform capability vs. bespoke logic
• Document patterns, learnings, and internal building blocks

Who You Are

You’ll thrive here if you:

• Are a senior builder, comfortable owning systems end-to-end
• Enjoy understanding how businesses actually work, not just code in isolation
• Think in systems, workflows, and failure modes
• Are pragmatic: you care about what ships and what works

You already:

• Write production-grade code
• Use AI tools daily to accelerate your own work
• Understand trade-offs between speed, correctness, and scalability

Core skills

• Have built AI products beyond demos or notebooks
• Have experience with:
• LLM orchestration / agents
• RAG systems and knowledge layers
• Evaluation frameworks for AI outputs
• Have used tools such as:
• LangChain / LangGraph / similar
• Claude / OpenAI APIs in production
• Vector databases, embeddings, structured retrieval
• Have worked in consulting, finance, legal, or other knowledge-heavy environments
• Can turn ambiguous, real-world problems into clean technical designs

Mindset That Matters

• Builder mentality — you ship, iterate, and improve
• Bias to action — progress today beats perfect next quarter
• Ownership — you take responsibility for outcomes, not just tasks
• Product thinking — you care how systems are used, not just how they’re built

What You Gain

• Direct exposure to real client problems and high-stakes use cases
• The chance to build serious AI systems, not slideware
• Deep experience turning expert workflows into AI-powered products
• A central role in shaping MosaiQ’s technical and product foundations
• The opportunity to grow into a core technical leader as the company scales