AI Engineer
Tasks
- Add observability with logs metrics traces and alerts
- Build LLM based systems with RAG
- Build and scale AI platforms and reusable components
- Build deploy and operate AI workloads in AWS
- Design generative and agentic AI systems
- Develop agentic and multi agent workflows
- Ensure production readiness scalability reliability performance security cost optimization
- Evaluate LLM quality reliability safety and performance
- Implement CI/CD pipelines and automated testing
- Implement prompt engineering and optimization
- Implement responsible AI governance and quality standards
- Integrate LLMs with REST APIs and enterprise systems
- Mentor junior engineers on generative and agentic AI
- Monitor model behavior and system health
Perks/Benefits
- Accreditations
- Annual excellence awards
- Bike to work
- Career development program
- Educational assistance
- Employee assistance program
- Employee discount
- Employee recognition platform
- Enhanced maternity/paternity leave
- Financial advice
- Fitness classes
- Flexible remote working
- Generous holiday allowance
- Gym discounts
- Incentivised certifications
- Life assurance
- Life balance support
- Marriage civil partnership leave
- Mentorship coaching
- Mindfulness workshops
- Pension
- Private healthcare
- Quarterly profit share
Skills/Tech-stack
AWS Bedrock | Agent workflows | Alerting | Amazon SageMaker | Automated testing | CI/CD | Distributed Systems | Embeddings | Function Calling | LLM Evaluation | Logging | Metrics | Monitoring | Multi-Agent | Multi-agent workflows | Observability | Performance Tuning | Prompt engineering | Python | REST APIs | Retrieval-Augmented Generation | Tool usage | Tracing | Vector Databases
Education
N/A
Roles
AI | AI Engineer | Engineer
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