AI Software Engineer
The AI Software Engineer will lead AI experiments and develop Agentic AI solutions for the banking sector, taking projects from ideation to production. The role involves building LLM-based architectures, optimizing for scalability, and collaborating with cross-functional teams using Python and various cloud AI services.
- Compensation
- Not disclosed
- Location
- Zurich, ch
- Work setup
- Hybrid
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 2+ years
- Category
- Ai engineering
- Posted
Skills
Must have
- B.Sc. degree in Computer Science, Engineering, or a related field
- Strong background in data science, statistics, and experimental thinking
- Understanding of data structures, algorithms, and software design principles
- Effective communication and collaboration skills
- Excellent analytical, coding, and debugging skills in Python
- At least 5 years of experience in Full-Stack Software Development
- At least 3 years of applied ML experience
- 2 years of experience with LLMs and Agents
- Proven track-record of deploying and maintaining AI models in production
- Experience with ML frameworks such as TensorFlow, PyTorch, Scikit-learn or similar
- Experience with RAG pipelines with vector stores (e.g., Chroma, Qdrant)
- Experience with Agent frameworks (e.g., LangChain, Google ADK, CrewAI)
- Experience with Cloud AI services e.g. AWS (SageMaker, Bedrock), Azure (AI Studio), GCP (Vertex AI)
- Experience with LLM & Agent Ops tools
- Familiarity with containerization technologies (e.g. Docker) and container orchestration systems (e.g. Kubernetes)
- Experience with Micro-services and REST APIs
Full description
We are seeking a highly skilled, fast learner and well rounded, AI Software Engineer to join our AI innovation lab team. The ideal candidate will lead AI experiments and bring cutting-edge AI Agentic solutions from ideation to production.
The mission of Avaloq AI Lab is to improve operational efficiency and augment Back-to-Front Office user experiences, through the application of state-of-the-art AI technology. We work collaboratively with industry leaders to deliver responsible and impactful solutions. Our team develops products tailored to the banking sector, supporting a broad range of users including banking operations, software engineers, knowledge services teams, and relationship managers.
Your key tasks
- Lead AI experiments and develop solutions from ideation to production
- Collaborate with cross-functional teams to design and implement Agentic AI solutions
- Develop advanced prompts, multi-Agents architecture and tools
- Deploy and maintain LLM based solutions in production
- Optimize solutions for performance, cost, and scalability
- Stay up-to-date and evaluate the latest advancements in AI research and related regulations
- At least B.Sc. degree in Computer Science, Engineering, or a related field
- Strong background in data science, statistics, and experimental thinking
- Understanding of data structures, algorithms, and software design principles
- Effective communication and collaboration skills
- Excellent analytical, coding, and debugging skills in Python
- At least 5 years of experience in Full-Stack Software Development
- At least 3 years of applied ML experience, with 2 years of experience with LLMs and Agents
- Proven track-record of deploying and maintaining AI models in production
- ML frameworks such as TensorFlow, PyTorch, Scikit-learn or similar
- RAG pipelines with vector stores (e.g., Chroma, Qdrant)
- Agent frameworks (e.g., LangChain, Google ADK, CrewAI)
- Cloud AI services e.g. AWS (SageMaker, Bedrock), Azure (AI Studio), GCP (Vertex AI)
- LLM & Agent Ops - experiment tracking tools, observability tools, evaluation pipelines, prompt engineering and maintenance tools
- Familiarity with containerization technologies (e.g. Docker) and container orchestration systems (e.g. Kubernetes)
- Micro-services and REST APIs
We realize that managing work life balance is a challenge we all face in our daily lives and in order to support with this we are pleased to offer hybrid and flexible working for most of our Avaloqers to maintain work life balance and still continue our fantastic Avaloq culture in our global offices.
In Avaloq we are proud to embrace diversity and understand the success of our business is built on the power of different opinions, we are whole heartedly committed to fostering an equal opportunity environment and inclusive culture where you can be your true authentic self.