We are seeking an experienced AI/ML Engineer to lead the development of AI-powered agent systems and assistant tools that support quantum developers in their daily work — from code generation and circuit debugging to algorithm suggestion and research summarization.
You’ll build AI systems that integrate with our internal workflows, collaborate with quantum engineers to understand pain points, and help define and deliver commercial services that enhance the productivity of quantum teams worldwide. This is a hybrid R&D + product engineering role, with high visibility and direct user impact.
While a background in quantum computing is not mandatory, we seek individuals who possess a genuine interest in the potential of quantum computing and are eager to learn more about this groundbreaking field.
What will you do
Design and build AI systems, assistants, and agents to support quantum software developers and researchers using LLM APIs or open-source models.
Collaborate with quantum scientists and SW development team to productize AI models and agents in QMill core products and internal development tools and environments.
Ensure performance, reliability, and reproducibility of AI models and agents in sensitive environments.
Productize and document AI model and agent features for wide adoption of internal and external users.
Integrate and deploy AI models via containerized environments and DevOps pipelines.
Monitor, evaluate, and continuously improve model accuracy, latency, and robustness.
We are looking for
Minimum of 5 years of experience in AI/ML engineering or NLP/LLM systems development.
Basic knowledge of machine learning (e.g., supervised/unsupervised learning, model evaluation metrics, feature understanding). (← newly added)
Proficiency in Python and experience with modern ML workflows and libraries.
Hands-on experience developing LLM-powered tools, AI agents or agentic frameworks.
Understanding of how to build prompt pipelines, RAG systems, and optionally multi-agent workflows.
Experience with backend integration, APIs, cloud deployments, and secure model inference.
Understanding of ML ops best practices (e.g., model versioning, reproducibility, experiment tracking).
Strong collaboration skills with engineering and product teams.
Eagerness to work on real-world tooling supporting technical users.
Understanding of quantum computing and quantum algorithms as well as familiarity with quantum computing frameworks, hybrid AI/quantum systems and DevOps tools is a plus.
Master level degree in computer science, physics or mathematics. Ph.D. is a plus.
What you need to succeed
Good at communicating and collaborating with people.
Fluent in written and spoken English.
Proactive and creative.
Efficient and productive.
Interest and experience in AI-assisted tools.
Curiosity and passion to explore the potential of quantum computing.
About us:
Interexy - Custom Software Development Company. Interexy is a Miami-based custom software development and IT consulting company founded in 2017 by tech entrepreneurs Stan Sakharchuk and Eugene Mahnach. Headquartered at 33025 Miramar Parkway, Suite 125, Miramar, Florida, we have grown from a local startup into a trusted global innovation partner delivering ISO-certified, enterprise-grade solutions across AI, Web3, FinTech, Healthcare, and Blockchain.
Our web : https://interexy.com/
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