Application Software Engineer, Applied AI
Tasks
- Architect agentic workflows tool use and multi agent orchestration
- Build evaluation frameworks and automated benchmarks
- Create applications using large language models and agentic systems
- Develop reliable AI powered applications
- Evaluate deploy monitor and iterate AI capabilities
- Implement production observability monitoring for AI quality safety latency cost
- Incorporate emerging LLM best practices into production systems
- Own AI system lifecycle from prototype to production
Perks/Benefits
- 401k retirement plan
- Life insurance
- Long-term disability insurance
- Medical/Dental/Vision insurance
- Paid Holidays
- Paid parental leave
- Paid vacation
Skills/Tech-stack
.NET | A/B | A/B Testing | Agent Orchestration | Agentic Systems | Angular | Apache Kafka | Automated Benchmarks | B testing | C# | Docker | Fine Tuning | Function Calling | Go | Java | Kubernetes | LLM-as-judge | Language Models | Large Language Models | Multi-Agent | Multi-agent orchestration | Observability | Online evaluation | PostgreSQL | Python | React | Red Teaming | Retrieval-Augmented Generation | SQL Server | Scala | Structured outputs | Tool use | Tracing
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Regions
Countries
States
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