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