Applied AI Engineer II
USD 102K-188K Mid-level Full Time
Tasks
- Build AI and agentic applications
- Collaborate cross functionally to ship products
- Conduct testing integrations and support
- Create inference cost aware solutions
- Create technical specifications
- Deliver continuous improvement
- Deploy via CI CD workflows
- Design and develop cloud native services
- Develop RAG pipelines
- Develop full-stack product features
- Evaluate LLM outputs
- Implement unit testing
- Integrate large language models
- Manage data quality and maintenance
- Orchestrate AI agents
- Own token and cloud cost optimization
- Perform prompt engineering
- Use infrastructure as code
- Write scalable maintainable code
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# | CI/CD | Data Structures | DevSecOps | FaaS | FinOps | GCP | GitHub | Infrastructure as Code | Java | JavaScript | LLM Evaluation | Langchain | Langfuse | Langgraph | Langsmith | Lean | MLflow | Microservices | NoSQL | Node.js | OOD | OOP | OpenAI | PaaS | Prompt engineering | PyTorch | Python | RAG | React | SQL | SRE | SonarQube | TensorFlow | TypeScript | Unit Testing | Vector Databases | Vertex AI | XP | “as-code”
Education
Roles
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