AI/ML Developer
Tasks
- Build LLM-based features
- Build generative AI applications
- Build tool calling and task orchestration
- Create embeddings and retrieval flows
- Design prompt engineering and structured outputs
- Develop agent workflows
- Evaluate and test model outputs
- Implement logging and telemetry
- Implement rag pipelines
- Integrate AI services with enterprise systems
Perks/Benefits
- N/A
Skills/Tech-stack
API Integration | Agentic AI | Authentication | CI/CD | Docker | Embeddings | Evaluation | FastAPI | Flask | Language Models | Large Language Models | Logging | MCP | Monitoring | Orchestration | Prompt engineering | Python | RAG | Retrieval-Augmented Generation | Secure Coding | Structured outputs | Task decomposition | Telemetry | Testing | Tool-Calling | Vector Database | Version control
Education
N/A
Roles
AI | AI Developer | AI Engineer | Developer | Engineer | Generative AI Engineer | Learning Engineer | Machine Learning Engineer
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