4 months ago
Helsinki, FinlandSenior
Responsibilities
- Design, deploy, and maintain end-to-end ML systems and production-grade LLM applications at scale.
- Build autonomous agentic AI systems with multi-agent coordination, stateful workflow orchestration, decision loops, and complex action execution.
- Architect LLM integrations using function calling, tool use, structured output parsing, and advanced reasoning strategies.
- Lead the transition of prototypes into production-hardened services with strong observability, safety guardrails, and reliability.
- Lead cross-functional initiatives and translate business objectives into technical roadmaps.
- Conduct deep-dive code and architecture reviews and help foster technical excellence across engineering teams.
- Collaborate with scientists, engineers, and customers to solve complex real-world problems.
Requirements
- 5+ years of professional experience in ML/AI engineering.
- Proven experience designing, deploying, and maintaining end-to-end ML systems and production-grade LLM applications at scale.
- Hands-on experience architecting agentic AI systems, including multi-agent coordination, stateful workflow orchestration, 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 high-performing engineering teams and conducting deep-dive code and architecture reviews.
- 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.