Sr. AI Engineers - Tieto Tech Consulting (m/f/d)
Tasks
- Build and maintain Model Context Protocol servers
- Build scalable RAG systems and LLM applications
- Deploy and manage AI applications on cloud platforms
- Design agentic AI and multi agent systems
- Develop production grade AI APIs and microservices
- Implement multi-agent orchestration
- Lead end-to-end AI solutions
- Mentor engineers and conduct code and design reviews
- Optimize AI performance latency and cost
- Translate business requirements into AI solutions
Perks/Benefits
Skills/Tech-stack
AI Pipelines | AWS | Access Control | Agent systems | Agentic AI | Audit Logging | Azure | Chatbots | ChromaDB | Cloud platform | Context engineering | CrewAI | Distributed Training | Docker | Document Databases | Embeddings | Evaluation | Event Streaming | Faiss | FastAPI | Flask | Generative AI | Google Cloud | Google Cloud Platform | GraphQL | Injection Defense | Kubeflow | Kubernetes | LLM | LLM Evaluation | Langchain | Langgraph | Langsmith | MLOps | MLflow | Machine Learning | Model Deployment | Model Monitoring | Model Optimization | Multi-Agent | Multi-Agent Systems | NLP | NumPy | PII Redaction | Pandas | Pinecone | PostgreSQL | Prompt injection | Prompt injection defense | PyTorch | Python | Question Answering | RAG | REST APIs | Role-Based Access | Role-Based Access Control | SQL | Sagemaker Pipelines | Scikit-learn | Sentiment Analysis | Snowflake | Streamlit | TensorFlow | Topic Modeling | Vector Search | Vertex AI | Vertex AI pipelines
Education
Roles
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