Senior AI Engineer (All genders)
Tasks
- Build reusable MCP based capability layers
- Collaborate with 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 and agentic platforms
- Own context engineering practices
- Provide technical leadership for complex initiatives
Perks/Benefits
- Annual vacation days
- Bike leasing
- Hybrid working
- Private medical health insurance
- Product discount
- Subsidised transport
- Training and support
- Wellbeing offers
Skills/Tech-stack
Agentic AI | Amazon Bedrock | Artificial Intelligence | Azure OpenAI | CI/CD | Context engineering | Docker | Embeddings | Evaluation | Event Driven | Event-driven architecture | Grounding | Java | JavaScript | Kotlin | Kubernetes | LLM integrations | Language Models | Large Language Models | Microservices | Observability | OpenAI | Privacy | Python | RAG | Retrieval | Retrieval-Augmented Generation | Security | Terraform | Vector Databases
Education
N/A
Roles
AI | AI Engineer | Engineer | Senior AI Engineer | Senior Software Engineer | Software Engineer
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