Senior AI Engineer - SDLC (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 for coding testing review and release
- Establish observability governance and guardrails for LLM integrations
- Lead architecture and delivery of AI and agentic platforms
- Own context engineering practices for grounding retrieval memory and evaluation
- Serve as technical lead for complex initiatives and design decisions
Perks/Benefits
- Bike leasing
- Employee discount
- Hybrid working
- Subsidised transport
- Training and development
- Wellbeing programs
Skills/Tech-stack
Amazon Bedrock | Azure OpenAI | CI/CD | Distributed Systems | Docker | Embeddings | Event Driven | Event-driven architecture | Governance | Grounding | Guardrails | Java | JavaScript | Kotlin | Kubernetes | LLM integrations | MCP | Microservices | Observability | OpenAI | Python | Retrieval-Augmented Generation | Terraform | Vector Databases | Vector Retrieval
Education
N/A
Roles
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