Applied AI Engineer Graduate
Tasks
- Build multi-agent systems
- Build retrieval-augmented generation pipelines
- Collaborate with full-stack teams
- Communicate with technical and non-technical stakeholders
- Contribute to CI/CD pipelines
- Deploy and operationalize AI features
- Design agentic workflows
- Develop backend services and APIs
- Evaluate emerging AI tools and frameworks
- Implement monitoring logging and evaluation
- Implement tool calling and state management
- Integrate AI agents with external services
- Integrate LLM APIs in production
- Optimize retrieval evaluation and debugging
- Orchestrate production automation workflows
- Translate business requirements into technical solutions
- Write reliable observable Python services
Perks/Benefits
Skills/Tech-stack
Anthropic API | Azure Cloud | Azure ML | Azure OpenAI | CI/CD | Confluence | Docker | Evaluation | Faiss | FastAPI | Gemini | GitHub Actions | Jira | LLM Engineering | Langchain | Langgraph | Logging | MCP | MLOps | Microsoft Teams | Monitoring | NumPy | Observability | PGVector | Pandas | PostgreSQL | Python | React | Retrieval-Augmented Generation | SQL | TypeScript | Vector Databases
Education
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