Application Software Engineer, Applied AI
Tasks
- Build evaluation frameworks
- Conduct online evaluation
- Create agentic workflow applications
- Deploy AI systems
- Design AI systems
- Develop AI-powered applications
- Evaluate AI systems
- Implement LLM as judge
- Implement retrieval augmented generation systems
- Improve reliability safety and responsible deployment
- Integrate AI solutions
- Monitor quality safety latency and cost
- Orchestrate multi-agent systems
- Run automated LLM benchmarks
- Set up AI observability monitoring
- Stay current with LLM techniques
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | AI Observability | Agent Orchestration | Agentic Systems | Angular | Automated Benchmarks | B testing | C Sharp | Cost Optimization | Docker | Evaluation Frameworks | Fine Tuning | Function Calling | Go | Java | Kafka | Kubernetes | LLM-as-judge | Language Models | Large Language Models | Latency optimization | Multi-Agent | Multi-agent orchestration | Online evaluation | PostgreSQL | Python | Quality metrics | React | Red Teaming | Retrieval-Augmented Generation | SQL Server | Safety monitoring | Scala | Structured outputs | Tool use | Tracing
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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