AI Software Engineer Job 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.
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
Required profile
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
What we offer Annual bonus or sales reward
At Avaloq we work hard to remain an industry‑leading provider and we love to reward our colleagues with a share of that success with an annual bonus. You will remain eligible for the annual bonus while you take care of your children during parental leave.
Flexible working
We understand that fitting your life around your job can be challenging, which is why most roles offer flexible working to allow you to thrive both in and out of work.
Kudos instant recognition scheme
We love to see people thriving in their roles and we have an instant recognition scheme at Avaloq to help managers reward the great work our colleagues deliver with a gift to say thanks.
Access to Udemy for professional and personal learning
We think it is important to learn and grow professionally. If you are someone who likes to learn outside of work, we give you access to online learning for both professional and personal learning, with over 210,000 courses to choose from.
#J-18808-Ljbffr
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.
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
Required profile
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
What we offer Annual bonus or sales reward
At Avaloq we work hard to remain an industry‑leading provider and we love to reward our colleagues with a share of that success with an annual bonus. You will remain eligible for the annual bonus while you take care of your children during parental leave.
Flexible working
We understand that fitting your life around your job can be challenging, which is why most roles offer flexible working to allow you to thrive both in and out of work.
Kudos instant recognition scheme
We love to see people thriving in their roles and we have an instant recognition scheme at Avaloq to help managers reward the great work our colleagues deliver with a gift to say thanks.
Access to Udemy for professional and personal learning
We think it is important to learn and grow professionally. If you are someone who likes to learn outside of work, we give you access to online learning for both professional and personal learning, with over 210,000 courses to choose from.
#J-18808-Ljbffr
