AI Application Developer

Aether Biomedical; Deutschland; Remote; EUR 70.000 - 100.000; Vollzeit

Zusammenfassung

Aether Biomedical is seeking an AI Application Developer to design, build, and deploy enterprise-grade AI solutions using Generative AI and LLMs. You will work on AI assistants, copilots, and RAG-based knowledge systems, enabling intelligent search and recommendations across enterprise data.

The role involves integrating AI into existing systems, developing pipelines, and ensuring robust monitoring and evaluation of AI solutions. Remote work options may apply for a global enterprise environment.

Qualifikationen

• Must have experience in building AI applications and integrating LLMs.
• Proficiency with RAG architectures and vector databases.
• Experience with embeddings and semantic search for knowledge systems.

Aufgaben

• Develop AI assistants and copilots.
• Build LLM-powered applications.
• Design and implement RAG-based knowledge systems.
• Create intelligent search and recommendation solutions for enterprises.
• Integrate AI capabilities into existing enterprise systems.
• Develop monitoring and evaluation frameworks for AI solutions.

Kenntnisse

AI Application Development

Generative AI & LLM Integration

RAG Architecture

Vector Databases

Embeddings & Semantic Search

Prompt Engineering & Context

AI Chatbots / Copilots

Docker & Kubernetes

Cloud AI Services

Tools

Docker

Kubernetes

Jobbeschreibung

We are looking for an AI Application Developer to build and deploy enterprise-grade AI solutions using Generative AI, Large Language Models, and Retrieval-Augmented Generation (RAG) architectures. Poland (Remote) Contract / B2BDCV/HX-16/06/2026

Must Have

• AI Application Development
• Generative AI & LLM Integration (OpenAI, Azure OpenAI, Claude, Gemini)
• RAG Architecture
• Vector Databases (Pinecone, Weaviate, Chroma, PGVector, Qdrant, Milvus)
• Embeddings & Semantic Search
• Prompt Engineering & Context Management
• AI Chatbots / AI Copilots
• Docker & Kubernetes
• Cloud AI Services (Azure, AWS, GCP)

Good to Have

• .NET Core / .NET 8+
• Microservices Architecture
• REST APIs
• Event-Driven Systems
• Data Ingestion & AI Pipelines
• Document Intelligence Solutions

What You'll Work On

• AI Assistants & Copilots
• LLM-Powered Applications
• RAG-Based Knowledge Systems
• Intelligent Search & Recommendation Solutions
• Enterprise AI Integrations
• AI Monitoring & Evaluation Frameworks

AI Engineer | LLM Engineer | Generative AI Engineer | AI Application Developer | Applied AI Engineer | Agentic AI Engineer