Senior AI Engineer
Tasks
- Build LLM-powered applications
- Define AI evaluation criteria and monitor accuracy quality latency security cost
- Design and deploy scalable AI solutions
- Develop AI agents and automated workflows
- Develop prompts and function calling workflows
- Evaluate and select AI models
- Implement RAG architectures
- Implement semantic search and embeddings
- Integrate AI capabilities into enterprise applications
- Integrate large language models using Azure OpenAI or OpenAI APIs
- Provide technical leadership for AI initiatives
- Translate business requirements into production-ready solutions
Perks/Benefits
Skills/Tech-stack
AI Governance | AI Search | AWS | Agent Orchestration | Application Security | Autogen | Azure | Azure AI | Azure AI Search | Azure DevOps | Azure Machine Learning | Azure OpenAI | C Sharp | CI/CD | CrewAI | Data Privacy | Docker | Embeddings | Fine Tuning | Function Calling | Generative AI | Git | Google Cloud | Guardrails | Kubernetes | Langchain | Langgraph | Language Model | Large Language Model | Llamaindex | Machine Learning | Model Context Protocol | Model Fine-tuning | NET | Observability | OpenAI API | Prompt engineering | Prompt management | PyTorch | Python | RAG | REST APIs | Relational databases | Responsible AI | Retrieval-Augmented Generation | Scikit-learn | Semantic Search | Software Architecture | TensorFlow | Tool-Calling | Vector Database
Education
N/A
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