Application Software Engineer, Applied AI
Tasks
- Architect agentic workflows and orchestration
- Build evaluation frameworks and benchmarks
- Deploy and integrate AI solutions
- Design AI systems for production
- Develop reliable AI powered applications
- Evaluate AI models and capabilities
- Implement retrieval and long context applications
- Monitor AI quality safety latency cost
- Stay current with LLM techniques
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | Agent Orchestration | Agentic Systems | Angular | Automated benchmarking | B testing | Csharp | Docker | Fine Tuning | Function Calling | Go | Java | Kafka | Kubernetes | LLM-as-judge | Language Models | Large Language Models | Multi-Agent | Multi-agent orchestration | Observability | Online evaluation | PostgreSQL | Python | React | Red Teaming | Retrieval | SQL Server | Scala | Structured outputs | Tool use | Tracing
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Application Software Engineer | Engineer | Software Engineer
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