Our mission is to move beyond prototypes and create production-grade AI systems that automate workflows, augment decision-making, and transform how organizations operate.
We are looking for an AI Engineer who thrives at the intersection of distributed systems, AI architecture, and real-world automation.
AI Developer (Agents & Automation) (m/f/d)
Remote, Köln HQ
Full-time
Permanent employee
Purpose of the role
Your mission
- Develop and implement AI-driven features such as intelligent agents, knowledge assistants, and workflow automation tools
- Build and improve agent capabilities including tool usage, memory handling, context management, and task execution
- Create Retrieval-Augmented Generation (RAG) pipelines and integrate knowledge retrieval using vector databases
- Integrate LLM providers (e.g., OpenAI, Azure OpenAI, Anthropic, and open-source models) into product features
- Build data ingestion pipelines connecting AI systems to internal knowledge bases, external APIs, and enterprise systems
- Implement streaming responses, background processing, and task execution mechanisms for AI workflows
- Evaluate and benchmark different AI tools, models, and prompting strategies to improve performance and reliability
- Monitor and improve AI behaviour through logging, testing, evaluation, and iterative optimization
- Optimize AI features for latency, cost-efficiency, and real-world usability
- Contribute to continuous improvement of AI capabilities and experimentation with emerging technologies
Your profile
- Strong backend engineering experience in Python (minimum 5 years)
- Experience designing scalable distributed systems and async architectures
- Hands-on experience with AI agent frameworks (LangChain, LlamaIndex, or similar)
- Deep understanding of RAG architectures, embeddings, vector search, and knowledge retrieval
- Experience with voice AI, streaming inference, or real-time systems
- Experience integrating LLM APIs and designing reliable AI workflows
- Familiarity with PostgreSQL, caching layers, queues (Celery / Redis / RabbitMQ)
- Strong engineering mindset: testing, monitoring, logging, security, and Performance tuning
- Ability to translate experimental AI ideas into stable production features
- Graph-based reasoning systems / knowledge graphs
- Model evaluation frameworks and prompt optimization strategies
- Experience with context engineering
- Cost optimization strategies for large-scale LLM usage
- Experience with Docker, cloud platforms (Azure, GCP, AWS), and CI/CD pipelines
What we offer
- Impact: Build intelligent systems that redefine how companies use AI
- Innovation: Work with cutting-edge frameworks and model ecosystems
- Culture: Collaborative, creative, and ownership-driven team
- Flexibility: Remote-first and flexible working hours
- Growth: Access to AI resources, tools, and training
- Participation: Virtual Stock Option Plan (VSOP)
About us
neuland.ai is an innovative German company with extensive expertise in AI and digital transformation. Based on our broad experience from numerous AI projects, we have developed the neuland.ai HUB – a trusted AI platform “Made in Germany.” With our proprietary and patent-pending technologies, the neuland.ai HUB is more than just a platform: it is a secure environment for sovereign, context-aware AI usage across business, government, and academia.
Our Commitment to Diversity:
At neuland.ai, we thrive on diverse perspectives. We evaluate you based on your skills and passion – regardless of background, gender, age, religion, or identity. To further strengthen the diversity of our team, candidates from underrepresented groups will be given preference if equally qualified. Don’t hesitate to apply, even if you don’t (yet) meet 100% of the requirements!