Lead Applied AI Engineer II
USD 118K-243K Senior-level Full Time
Tasks
- Build RAG pipelines
- Build full stack AI products
- Conduct rapid experimentation
- Create technical specifications
- Design low level architecture and components
- Develop, test, and integrate applications
- Establish engineering standards
- Implement GenAI and agentic capabilities
- Integrate with LLM providers
- Lead end-to-end product delivery
- Manage data quality and technical debt
- Orchestrate AI agents
- Own inference token and cloud cost
- Perform prompt engineering
- Review code and mentor engineers
Perks/Benefits
- N/A
Skills/Tech-stack
.NET | AI Agent | AI agent orchestration | AWS | AWS Bedrock | Agent Orchestration | Algorithms | Angular | Anthropic | Azure | Azure OpenAI | C# | Data Structures | DevSecOps | Evaluation | FaaS | FinOps | GitHub | Google Cloud | Infrastructure as Code | Integration Testing | Java | JavaScript | Langchain | Langgraph | MLflow | Microservices | NoSQL | Node.js | OOP | OpenAI | PaaS | Prompt engineering | PyTorch | Python | RAG | React | SQL | SRE | SonarQube | TensorFlow | Unit Testing | Vector Databases | Vertex AI | “as-code”
Roles
Regions
Countries
States
Tennessee, US | Texas, US | Connecticut, US | New Jersey, US | New York, US
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