Remote AI Engineer: Build Production LLM Apps with RAG

Umanova SA; Schweiz; Vor Ort; CHF 56.000 - 85.000; Vollzeit

Zusammenfassung

Umanova SA is seeking a remote Mid-Level AI Engineer to build and deploy Generative AI solutions using LLMs, RAG, and cloud APIs. This role focuses on delivering production-ready applications across data, software, and product teams.

Ideal candidates have strong Python skills and hands-on experience with LLMs, RAG, and cloud platforms like AWS Bedrock or OpenAI. Excellent English communication is required; no research focus here.

Qualifikationen

• 1–3 years of applied software/data/ML engineering experience.
• Strong Python skills and experience with ML frameworks (TF, PyTorch, scikit-learn).
• Cloud experience with AWS, GCP, or Azure integration.
• Interest in LLMs, prompt engineering, RAG, and applied AI with project work or deployments.
• Ability to take a project from prototype to delivery with attention to performance and value.
• Clear communication, cross-functional collaboration, and agile mindset.
• Bachelor’s or Master’s in Computer Science, Engineering, Data Science or related field.

Aufgaben

• Implement retrieval-augmented generation techniques to customize LLMs for business use.
• Integrate generative AI into existing systems via AWS Bedrock, OpenAI, or similar APIs.
• Build AI-powered tools to improve operational efficiency and decision-support.
• Collaborate with data engineers to preprocess data for model inputs with security in mind.
• Monitor and refine LLM deployments in scalable, reliable environments.
• Work with software engineers, product managers, and stakeholders to deliver AI solutions.
• Create clear documentation and explain technical concepts to technical and non-technical audiences.

Kenntnisse

Python

LLM deployment

ML frameworks

English comms

Ausbildung

Bachelor’s/Master’s in CS/Engineering/DS

Tools

Docker

CI/CD pipelines

MLflow

Jobbeschreibung

Umanova SA is seeking a remote Mid-Level AI Engineer to build and deploy Generative AI solutions using LLMs, RAG, and cloud APIs. This role focuses on delivering production-ready applications across data, software, and product teams.

Ideal candidates have strong Python skills and hands-on experience with LLMs, RAG, and cloud platforms like AWS Bedrock or OpenAI. Excellent English communication is required; no research focus here.