AILLM NET Engineer 80-100 fmd
AILLM NET Engineer 80-100 fmd
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Salary Not Disclosed
1 Vacancy
Job Description
Shape the future. Yours and ours.
Would you like to help people to lead a selfdetermined life And do you want to use your creative scope to reconcile your professional and personal ambitions Then we can offer you an exciting prospect: at Swiss Life you will be able to deploy your individual talents and expertise in a stimulating and flexible work environment. Whats more you will be given a good measure of responsibility and can thus contribute to shaping the future of Swiss Life.
Were looking for a fullstack AI engineer whos passionate about building great AI experiences and products thereby blending productionready platform architecture with new tech and new paradigms. Youll push the boundaries of the newest technologies to enable interactions and automations that are not only functional but delightful. We value proactive customercentric engineers who can get the foundational details right (data models architecture security) in service of enabling great products.
Your area of responsibility
You own the endtoend development lifecycle for new genAI services and integrations with other systems.
You will collaborate closely with engineers systems architects product managers and internal customers to understand their problems and implement effective solutions.
You will work with product teams to share relevant feedback and iterate on relentlessly improving product value.
You will build release and maintain Azure pipelines ensuring they meet security requirements at every stage.
Your strengths
You have experience with the systems and frameworks used creating lowlatency genAI apps involving RAGbased workflows vector databases and integration of various kinds of data sources with AI models; experience with small/local language models is a plus.
You possess knowledge of prompt engineering and best practices for working with large language models including tailoring prompts to different model families (e.g. GPT LLaMA Mistral) with additional experience in evaluating documenting and reporting the performance of LLMbased AI systems being a plus.
You are proficient in developing cloud applications (Azure Kubernetes) using .NET/C# and ASP Core with familiarity with Azure OpenAI or similar services and you have experience with building and maintaining CI/CD Pipelines with Azure DevOps or similar infrastructure.
You have 5 years of professional engineering experience (excluding internships) in relevant roles in tech and productdriven teams.
You excel at effectively navigating through loosely defined tasks and managing competing priorities or deadlines.
You are experienced with Python; understanding of deep learning models is a plus.
You love collaborating across teams and working at the boundary of engineering and research.
Your benefits
We help our employees to shape their professional development and their private life to their best advantage and throughout all phases of their life. Our attractive benefits such as options for working from home 25 to 30 days of leave 3rd pillar premium contributions and a broad range of continued training options contribute to this goal.
Information for recruitment agencies
For this position Swiss Life is not accepting any application dossiers from recruitment agencies that are submitted spontaneously. Only applications submitted by prior agreement via the recruitment agency jobs portal will be accepted.
No liability will be accepted for spontaneous applications and any fees/costs incurred by them. Thank you for your understanding.
Your contact
Julie WinkenbachTel:
Employment Type
Full-Time
