Senior AI Engineer (All genders)
Tasks
- Build reusable MCP based capability layers
- Collaborate across engineering product platform security and data teams
- Define production ready patterns for agentic systems
- Drive AI powered SDLC initiatives
- Establish observability governance and guardrails for LLM integrations
- Lead architecture and delivery of AI platforms
- Own context engineering practices
- Provide technical leadership for complex initiatives
Perks/Benefits
- Annual vacation days
- Bike leasing
- Employee product discount
- Hybrid working
- Private medical health insurance
- Subsidised transport
Skills/Tech-stack
AI Security | Amazon Bedrock | Autogen | Azure OpenAI | CI/CD | Cost Optimization | CrewAI | Docker | Embeddings | Event Driven | Event-driven architecture | Feature Flags | Governance | Java | JavaScript | Kotlin | Kubernetes | LLM integration | Langchain | Llamaindex | Microservices | Observability | OpenAI | Privacy | Python | RAG | Semantic Kernel | Terraform | Vector Databases
Education
N/A
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