Lead Applied AI Engineer II
USD 113K-232K Senior-level Full Time
Tasks
- Build RAG pipelines
- Create technical specifications
- Deploy solutions to production
- Design low-level architecture
- Develop LLM applications
- Develop and test software components
- Establish engineering standards
- Integrate AI services and models
- Lead applied AI development
- Maintain code and technical maintenance
- Mentor and guide team members
- Review code and ensure quality
Perks/Benefits
- N/A
Skills/Tech-stack
.NET | AWS | AWS Bedrock | Agent Orchestration | Angular | Anthropic | Azure | Azure OpenAI | C# | DevSecOps | FaaS | GitHub | Google Cloud | Java | LLM integration | Langchain | Langfuse | Langgraph | Langsmith | Lean | MLflow | Microservices | Multi-Agent | Multi-agent orchestration | NoSQL | Node.js | OpenAI | PaaS | Prompt engineering | PyTorch | Python | RAG | React | SQL | SRE | SonarQube | TensorFlow | Unit Testing | Vector Database | Vertex AI | XP
Education
Roles
AI Engineer | Applied AI Engineer | Engineer | Software Engineer
Regions
Countries
States
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