1 day ago
Helsinki, FinlandSenior
Responsibilities
- Design and implement production-grade LLM architectures and autonomous Agentic AI systems.
- Own the transition of ML and LLM prototypes into production-hardened services.
- Architect multi-agent coordination, stateful workflow orchestration, autonomous decision loops, and complex action execution.
- Integrate LLM capabilities including function calling, tool use, structured output parsing, and advanced reasoning strategies.
- Lead cross-functional technical initiatives and translate business objectives into technical roadmaps.
- Promote robust system design, observability, safety, guardrails, infrastructure as code, reliability, and code quality.
- Conduct deep-dive code and architecture reviews and help level up high-performing engineering teams.
Requirements
- At least 5 years of professional ML/AI Engineering experience.
- Proven experience designing, deploying, and maintaining end-to-end ML systems and production-grade LLM applications at scale.
- Experience owning the transition from prototype to production-hardened service.
- Hands-on experience architecting Agentic AI systems with multi-agent coordination, stateful workflows, autonomous decision loops, and complex action execution.
- Strong background in LLM integration, including function calling/tool use, structured output parsing, and advanced reasoning strategies.
- Ability to lead cross-functional initiatives, translate business objectives into technical roadmaps, and uphold high standards for code quality and system reliability.
- Experience leveling up engineering teams, conducting code and architecture reviews, and fostering technical excellence.
- Preferred experience with advanced RAG systems, model fine-tuning, agent memory architectures, automated evaluation frameworks, vector databases, distributed computing, GPU optimization, combinatorial optimization algorithms, or ML and quantum computing.
Categories
About Qutwo
Qutwo builds enterprise AI and quantum-computing solutions, combining its Qutwo OS, ML pipelines for neural network compression, and security-focused SaaS services for industrial optimization, simulation, and analytics. The company partners with enterprises to develop classical, hybrid, and quantum systems and offers software plus applied research engagements. It is privately held, Europe-based, and was co-founded by pioneers behind IQM and Silo AI, with backing from founders of Skype, Hugging Face, Quantinuum, and Supercell.