Senior AI Engineer
Tasks
- Architect AI systems
- Build MLops pipelines
- Build prompt engineering pipelines
- Collaborate with clients and stakeholders
- Configure CI CD practices
- Define AI engineering strategy and adoption
- Deploy production grade AI applications
- Design agentic workflows
- Develop multi modal LLM solutions
- Enable model observability and monitoring
- Implement enterprise data integrations
- Implement retrieval-augmented generation
- Optimize model scalability reliability low latency
Perks/Benefits
- Backup care sessions
- Business coaching
- Critical illness cover
- Cycle to work
- Dental insurance
- Family-friendly leave
- Gym membership
- Health insurance
- Life insurance
- Mental health support
- Online GP services
- Pension
- Season ticket loans
- Training hours
- Travel insurance
Skills/Tech-stack
API Design | AWS | Agentic Systems | Azure | CI/CD | Cloud Native | Cloud platform | Distributed Systems | Google Cloud | Google Cloud Platform | Language Models | Large Language Models | MLOps | Multi-Modal | Multi-modal AI | Observability | Prompt engineering | Python | RAG | Retrieval-Augmented Generation | Semantic Search | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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