Application Software Engineer, Applied AI
Tasks
- Architect agentic workflows and multi agent orchestration
- Build evaluation frameworks for AI quality and safety
- Design evaluate deploy and integrate AI systems
- Develop AI-powered applications
- Implement AI observability and monitoring for quality safety latency and cost
- Own end to end AI lifecycle prototype to production
- Stay current with LLM techniques and integrate best practices
Perks/Benefits
Skills/Tech-stack
.NET | A/B | A/B Testing | AI Observability | Agent Orchestration | Agentic Systems | Angular | Automated benchmarking | B testing | C# | Cost Optimization | Docker | Fine Tuning | Function Calling | Go | Java | JavaScript | Kafka | Kubernetes | LLM-as-judge | Language Models | Large Language Models | Multi-Agent | Multi-agent orchestration | Online evaluation | PostgreSQL | Python | Quality metrics | React | Red Teaming | Retrieval-Augmented Generation | SQL Server | Safety monitoring | Scala | Structured Output | 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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