Medior/Senior AI Engineer- Customer Facing AI
Tasks
- Build LLM pipelines
- Build RAG CAG pipelines
- Design AI solution architecture
- Design data flows and context management
- Design test strategies
- Detect hallucinations
- Develop agent orchestration logic
- Ensure safe scalable reliable AI systems
- Evaluate output quality
- Implement API integrations
- Implement backend components
- Integrate AI capabilities into enterprise systems
- Optimize model and agent performance
- Run experiments for model behavior tuning
Perks/Benefits
- 42 days leave
- Center of practices
- Conference support
- Flexible work hours
- Hands-on training
- Hybrid work
- Internal education academy
- International bank environment
- On-site medical care
- Participation in meetups
Skills/Tech-stack
Agent Orchestration | Autogen | C# | CAG | Confluence | Cost Optimization | Embeddings | Experiment design | GitHub Actions | JavaScript | Kafka | Kubernetes | LLM APIs | Langchain | Latency optimization | Machine Learning | Microsoft Azure | Model Evaluation | NLP | Node.js | OpenShift | Oracle | Podman | PostgreSQL | Prompt engineering | Python | RAG | REST | Reliability | Retrieval | SOAP | Scalability | Semantic Kernel
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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