Test - ML/AI Engineer
Tasks
- Build AI capabilities reusable services for multiple products
- Collaborate on peer review knowledge sharing
- Create specs evals interface definitions workflow contracts
- Create tool use agentic workflows
- Define evaluation driven development loops
- Design production-grade AI systems
- Develop retrieval pipelines
- Ensure AI reliability observability governance security
- Implement LLM based experiences
- Partner with stakeholders align implementation with customer value
- Prototype and validate new AI approaches
Perks/Benefits
- Buddy onboarding
- Certificate training programs
- Charity donation opportunities
- Flexible working hours
- Internal career growth
- Modern office equipment
- Online onboarding buddy
- Remote or office option
- Udemy learning access
- Upskilling support
- Well being and health activities
- Workation
Skills/Tech-stack
AWS | Agentic Workflows | Automated testing | Azure | Evaluation | Generative AI | Governance | Language Models | Large Language Models | Observability | Orchestration | Python | Retrieval-Augmented Generation | Security | Spec Driven | Spec Driven Development | Tool use
Education
Roles
AI | AI Engineer | Engineer
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