Generative AI Engineer
Umanova SASwitzerland1 day ago
Full-timeEngineering, Information Technology
Track This Job
Add this job to your tracking list to:
- Monitor application status and updates
- Change status (Applied, Interview, Offer, etc.)
- Add personal notes and comments
- Set reminders for follow-ups
- Track your entire application journey
Save This Job
Add this job to your saved collection to:
- Access easily from your saved jobs dashboard
- Review job details later without searching again
- Compare with other saved opportunities
- Keep a collection of interesting positions
- Receive notifications about saved jobs before they expire
AI-Powered Job Summary
Get a concise overview of key job requirements, responsibilities, and qualifications in seconds.
Pro Tip: Use this feature to quickly decide if a job matches your skills before reading the full description.
We’re seeking a hands-on Generative AI Engineer with a background in Software, Data, or Machine Learning Engineering to join one of our clients in Geneva.
You’ll design, build, and deploy generative-AI-driven solutions focused on real-world applications (i.e., no research-only roles). You’ll work closely with engineering teams to implement practical AI capabilities using LLMs and RAG setups.
Key Requirements
You’ll design, build, and deploy generative-AI-driven solutions focused on real-world applications (i.e., no research-only roles). You’ll work closely with engineering teams to implement practical AI capabilities using LLMs and RAG setups.
Key Requirements
- Design, implement and maintain GenAI applications using frameworks such as RAG pipelines, agentic workflows, prompt engineering, MCP, and other emerging AI patterns.
- Partner with engineers and business users to incorporate GenAI applications into new or existing business workflows.
- Apply software engineering best practices — including code quality standards, testing, CI/CD, version control, and observability — to ensure scalable, secure, and maintainable AI solutions.
- Build production-grade APIs, microservices, and automation components that interface with GenAI systems and enterprise data platforms.
- Collaborate with architecture, data engineering, and security teams to ensure AI applications align with enterprise standards and integrate reliably with existing systems.
- Degree in a field related to computer science or data science.
- Proven experience in building GenAI applications, including RAG pipelines, LLM integrations, and agent-based systems.
- Solid programming skills with Python, with experience writing maintainable, testable, and production-ready code.
- Strong understanding of LLM integration, vector databases, RAG, and MCP, with hands-on experience deploying AI models in production environments.
- Working knowledge of software engineering fundamentals, such as APIs (REST/GraphQL), microservices, object-oriented design, version control (Git), and automated testing.
- Experience with modern data platforms (e.g., Snowflake) and integrating structured/unstructured data sources into AI workflows.
- Experience with cloud platforms (e.g., AWS, Azure, GCP), including containerization (Docker), serverless patterns, and infrastructure-as-code.
- Familiarity with DevOps practices (CI/CD pipelines, monitoring, logging) is a plus.
Key Skills
Ranked by relevanceReady to apply?
Join Umanova SA and take your career to the next level!
Application takes less than 5 minutes