AI Engineer (f/m/d)
Tasks
- Apply reasoning and reinforcement learning
- Build AI scenarios for real customer needs
- Build and evolve agent copilot
- Collaborate on deployment and observability
- Create evaluation frameworks and test datasets
- Define agent performance metrics
- Design agent architectures
- Develop production ready LLM workflows
- Implement tool usage and orchestration
- Incorporate domain knowledge into agent behavior
- Integrate tools for agent execution
- Modify prompts model configurations and workflows
- Optimize prompting strategies
- Run experiments and compare outcomes
Perks/Benefits
- Flexible remote work
- Gym membership
- Learning budget
- Paid time off
- Public transport subsidy
- Team events
Skills/Tech-stack
AI Agents | AWS Bedrock | Debugging | Evaluation | Experimentation | Fine Tuning | LLM | LLM Fine-tuning | Langchain | Langgraph | Language Models | Large Language Models | Orchestration | Prompt engineering | Python | RAG | Reinforcement Learning | Tool integration
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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