Required skills
- Python
- AI-powered Applications
- Large Language Models (LLMs)
- RAG Architectures
- Data Ingestion
- Semantic Search
- Relational Databases
- Vector Databases
- PostgreSQL
- PGVector
- LangGraph
- LangChain
- OpenAI Responses API
- Microsoft Azure
- Azure OpenAI
- GitLab
- CI/CD
- Docker
- Containerized Deployments
- Enterprise Integration
- API Integration
- Security
- Privacy
- Compliance
Languages: German
Job description
We are looking for an experienced Senior AI Engineer to develop and operate a productive AI-based Enterprise SaaS solution. The role involves designing and implementing AI-native applications, RAG architectures, and integrating enterprise systems.
Project overview
For our client, we are looking for an experienced Senior AI Engineer.
Responsibilities
- Development and operation of a productive AI-based Enterprise SaaS solution
- Design and implementation of AI-native applications and agent-based solutions
- Development of RAG architectures, data processing solutions, and semantic search systems
- Integration of enterprise systems and APIs
- Contribution to architecture and engineering decisions
- Establishment of modern, AI-supported development and operational processes
- Ensuring the quality, security, and scalability of the solution
Requirements
- Very good Python skills
- Experience with AI-powered applications and Large Language Models (LLMs)
- Profound knowledge in RAG architectures, data ingestion, and semantic search
- Experience with relational and vector databases (e.g., PostgreSQL, PGVector)
- Experience with LangGraph, LangChain, or comparable agent frameworks
- Knowledge of the OpenAI Responses API
- Experience with Microsoft Azure and Azure OpenAI
- GitLab and CI/CD knowledge
- Docker and containerized deployments
- Experience with enterprise integrations and API connections
- Understanding of security, privacy, and compliance requirements
Nice to have
If interested, I look forward to receiving your current profile including your daily rate expectation and earliest possible start date.
- Terraform / Infrastructure as Code
- DevOps, MLOps, or LLMOps
- Multi-agent systems and agentic AI
- Processing of unstructured data (documents, emails, knowledge bases)
- Experience in the Enterprise SaaS or B2B environment
Project details
01.11.2026
until 30.06.2027 (+ extension option)
Utilization: Full-time
Language: German
- Start: 2026-11
- Duration: 8 Monate
- Remote: remote
- Location: Dresden, Deutschland, DE
- Languages: German
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