Lead AI Engineer
EUR 54K-75K (estimate) Senior-level Full Time
Tasks
- Build RAG pipelines
- Deploy autonomous AI agents
- Deploy open source models on GPU infrastructure
- Design LLMOps monitoring and observability
- Detect hallucinations
- Implement LLM evaluation harness
- Lead client facing technical design
- Lead generative AI proof of concept
- Mentor delivery engineers
- Monitor GenAI quality and latency
- Optimize token and prompt costs
- Orchestrate multi-agent workflows
- Route prompts for cost control
- Standardize Docker and Kubernetes delivery
Perks/Benefits
- Diversity and inclusion culture
- Equal opportunity workplace
- Mentoring
- Training and certification support
Skills/Tech-stack
AWS Bedrock | Agent Orchestration | Arize | Autonomous Agents | Azure OpenAI | CI/CD | Caching | Docker | GPU infrastructure | Generative AI | Google Vertex | Google Vertex AI | Grafana | Hallucination detection | Kubernetes | LLMOps | Langchain | Langgraph | Langsmith | Language Models | Large Language Models | Llama | Llamaindex | Milvus | Mistral | Model Evaluation | Multi-Agent | Multi-agent orchestration | Observability | Pinecone | Prometheus | Prompt Routing | Qdrant | RAG | TGI | Token Management | VLLM | Vector Database | Vertex AI
Education
N/A
Roles
AI Engineer | Engineer | Lead | Lead AI | Lead AI Engineer
Regions
Countries
States
Cities
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