Lead AI Engineer
Tasks
- Build RAG pipelines
- Build agentic workflows
- Create AI development roadmaps
- Define AI solution architectures
- Deliver measurable AI value for clients
- Design and build LLM systems
- Develop multimodal applications
- Ensure secure scalable observable cost optimized AI solutions
- Mentor engineers
- Translate AI concepts into stakeholder recommendations
Perks/Benefits
- Community volunteering opportunities
- Continuous training and development
- Cycle2Work
- Employee ownership
- Flexible annual leave
- Flexible pension
- Green Car Lease
- Healthcare cash plan
- Income tax free bonus
- Parking allowance
- Social events
Skills/Tech-stack
AI Foundry | AWS Bedrock | Agentic Workflows | Agile Development | Azure AI | Azure AI Foundry | Chroma | Cloud Computing | Continuous Delivery | Cost Optimization | Google Vertex | Google Vertex AI | LLM RAG | Language Models | Large Language Models | Multimodal AI | Observability | PGVector | Pinecone | Retrieval-Augmented Generation | Scalability | Security | Speech-to-Text | Text to Speech | Vector Databases | Vertex AI | Weaviate
Education
N/A
Roles
AI | AI Engineer | AI Engineering | AI Engineering Lead | Engineer | Engineering Lead | Lead | Lead AI | Lead AI Engineer
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