2 months ago
Zürich, SwitzerlandSenior
Responsibilities
- Lead AI experiments and develop solutions from ideation to production.
- Design and implement agentic AI solutions with cross-functional teams.
- Develop advanced prompts, multi-agent architectures, tools, and RAG pipelines.
- Deploy, maintain, and optimize LLM-based solutions for performance, cost, and scalability.
- Evaluate advancements in AI research and related regulations.
Requirements
- Bachelor of Science degree in Computer Science, Engineering, or a related field.
- Strong background in data science, statistics, experimental thinking, data structures, algorithms, and software design principles.
- At least five years of full-stack software development experience.
- At least three years of applied ML experience, including two years with LLMs and agents.
- Proven experience deploying and maintaining AI models in production.
- Strong Python coding, debugging, analytical, communication, and collaboration skills.
- Experience with ML frameworks, RAG pipelines and vector stores, agent frameworks, cloud AI services, LLM and Agent Ops, Docker, Kubernetes, microservices, and APIs.
Benefits
- Hybrid and flexible working arrangements are available for most employees.
- Inclusive and equal-opportunity work environment with a focus on diversity and employee development.
- Opportunity to work with leading financial institutions in a global organization.
Tech Stack
Categories
About Avaloq
Avaloq develops core banking and digital wealth management platforms and provides banking-operations outsourcing for financial institutions, delivered via cloud SaaS, BPaaS, or on-premises deployments. Its clients include private, retail and investment banks; more than 170 institutions use its systems. Founded in 1985 and headquartered in Zürich, Avaloq is a subsidiary of NEC Corporation.