GenAI Developer
Tasks
- Build LLM-powered applications
- Build RAG solutions
- Build backend REST APIs
- Create embeddings and vector search
- Deploy GenAI applications
- Design multi-agent workflows
- Develop agentic AI workflows
- Implement LLMOps for evaluation and monitoring
- Implement document ingestion pipelines
- Implement tool calling workflows
- Integrate AI agents with enterprise systems
- Manage prompts and model versions
- Monitor GenAI applications
- Track model cost
Perks/Benefits
- Company-Paid Holidays
- Employee assistance program
- Life and disability insurance
- Medical, dental, and vision insurance
- Paid time off
- Retirement savings plan
Skills/Tech-stack
AI Search | AWS Bedrock | Anthropic Claude | Autogen | Azure AI | Azure AI Search | Azure OpenAI | CI/CD | Chroma | Cloud Platforms | CrewAI | Docker | Embeddings | Faiss | FastAPI | Flask | Gemini | Kubernetes | Langchain | Langgraph | Llamaindex | Microservices | Milvus | OpenAI | OpenSearch | PGVector | Pinecone | Prompt engineering | Python | RAG | REST APIs | Semantic Kernel | Semantic Search | Structured data | Unstructured Data | Vector Databases | Weaviate
Education
N/A
Roles
AI Developer | Agentic AI Developer | Developer | GenAI Developer
Regions
Countries
States
Cities
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