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- Aufgaben: Join us as a Software Engineer focusing on Generative AI, working with cutting-edge technologies.
- Arbeitgeber: We are a leading IT services and consulting firm based in Switzerland, embracing innovation.
- Mitarbeitervorteile: Enjoy remote work flexibility and the chance to work with advanced AI technologies.
- Warum dieser Job: Be part of a dynamic team solving real-world problems with AI while enhancing your skills.
- Gewünschte Qualifikationen: 5+ years in software engineering, strong Python skills, and experience with GenAI frameworks required.
- Andere Informationen: This is a contract position with opportunities for growth in a fast-evolving field.
Das voraussichtliche Gehalt liegt zwischen 48000 - 84000 € pro Jahr.
Role: Software Engineer – Generative AI Location: Switzerland / Remote anywhere from EU Job Description: 5+ years of software engineering experience in Python with 3+ years of experience in Django, Flask and other Python frameworks. Implementation experience in classic AI/ML use cases. Familiarity with GenAI concepts, specifically large language models (LLMs), and their application in real-world projects. Hands-on experience integrating with at least one of the popular LLMs using API endpoints. Thorough understanding of prompt engineering techniques. Experience bringing a GenAI project through production and implementation. Implementation experience in GenAI frameworks like LangChain or LlamaIndex, and vector databases like Pinecone, Chroma, or FAISS. Exposure to evaluation techniques and monitoring tools for GenAI applications. Good knowledge in RESTful APIs and packaging GenAI applications as APIs. Experience designing and developing GenAI solutions on Cloud Platforms like AWS, Azure, or GCP or with open source LLMs such as Llama. Ability to think creatively and collaborate about applying AI to solve business problems with multiple capabilities, including Experience Design, Change Management, and Process Reengineering. Strong problem-solving, analytical, and interpersonal skills. Seniority Level: Mid-Senior Level Employment Type: Contract Job Function: Information Technology Industries: IT Services and IT Consulting #J-18808-Ljbffr
Software engineer -Generative AI Arbeitgeber: Whatjobs
Kontaktperson:
Whatjobs HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Software engineer -Generative AI
✨Tip Number 1
Make sure to showcase your hands-on experience with popular LLMs and their integration using API endpoints. Highlight specific projects where you've successfully implemented these technologies, as this will demonstrate your practical knowledge.
✨Tip Number 2
Familiarize yourself with prompt engineering techniques and be ready to discuss how you've applied them in real-world scenarios. This understanding is crucial for the role and can set you apart from other candidates.
✨Tip Number 3
Emphasize your experience with GenAI frameworks like LangChain or LlamaIndex, and vector databases such as Pinecone or Chroma. Be prepared to explain how you've utilized these tools in your previous projects.
✨Tip Number 4
Showcase your ability to think creatively about applying AI to solve business problems. Prepare examples of how you've collaborated with teams on Experience Design or Process Reengineering to highlight your interpersonal skills.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Software engineer -Generative AI
Tipps für deine Bewerbung 🫡
Highlight Relevant Experience: Make sure to emphasize your 5+ years of software engineering experience, particularly in Python and frameworks like Django and Flask. Provide specific examples of projects where you've implemented AI/ML use cases.
Showcase GenAI Knowledge: Demonstrate your familiarity with Generative AI concepts, especially large language models (LLMs). Mention any hands-on experience you have with integrating LLMs using API endpoints and your understanding of prompt engineering techniques.
Detail Your Project Experience: Include details about your experience bringing GenAI projects through production and implementation. Highlight any frameworks you've used, such as LangChain or LlamaIndex, and mention your exposure to vector databases like Pinecone or Chroma.
Emphasize Problem-Solving Skills: Illustrate your strong problem-solving and analytical skills by providing examples of how you've creatively applied AI to solve business problems. Collaboration experiences in areas like Experience Design or Change Management can also be beneficial.
Wie du dich auf ein Vorstellungsgespräch bei Whatjobs vorbereitest
✨Showcase Your Python Expertise
Make sure to highlight your 5+ years of experience in Python during the interview. Be prepared to discuss specific projects where you utilized Django, Flask, or other frameworks, and how they contributed to the success of those projects.
✨Demonstrate Your Knowledge of GenAI
Familiarize yourself with GenAI concepts, especially large language models (LLMs). Be ready to explain how you've integrated LLMs into real-world applications and share any hands-on experiences with popular APIs.
✨Discuss Prompt Engineering Techniques
Since a thorough understanding of prompt engineering is crucial for this role, prepare examples of how you've applied these techniques in past projects. This will show your depth of knowledge and practical application.
✨Highlight Cloud Platform Experience
If you've designed and developed GenAI solutions on cloud platforms like AWS, Azure, or GCP, make sure to discuss this experience. Talk about the challenges you faced and how you overcame them to deliver successful projects.
