Gen AI Engineer
Tasks
- Build GenAI applications using LLMs
- Build backend APIs
- Deploy and monitor GenAI applications
- Design multi-agent workflows
- Develop agentic solutions
- Implement document ingestion and retrieval pipelines
- Integrate AI agents with enterprise systems
- Perform LLMOps monitoring and evaluation
Perks/Benefits
- Company-Paid Holidays
- Employee assistance programs
- Life and disability insurance
- Medical/Dental/Vision insurance
- Paid time off
- Retirement savings plan
- Sick leave
Skills/Tech-stack
AI Search | AWS Bedrock | Anthropic Claude | Autogen | Azure AI | Azure AI Search | Azure OpenAI | CI/CD | Chroma | Cost Tracking | CrewAI | Docker | Embeddings | Faiss | FastAPI | Flask | Gemini | Kubernetes | LLMOps | Langchain | Langgraph | Llama | Llamaindex | Logging | Microservices | Milvus | Mistral | Model Evaluation | Monitoring | OpenAI | OpenSearch | PGVector | Pinecone | Prompt engineering | Prompt versioning | Python | RAG | REST APIs | Semantic Kernel | Semantic Search | Tool-Calling | Vector Databases | Vector Search | Weaviate
Education
N/A
Regions
Countries
States
Cities
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