GenAI / Agentic AI Developer
Tasks
- Build LLM-powered applications
- Build document ingestion pipelines
- Create tool calling workflows
- Deploy GenAI applications
- Design multi-agent orchestration
- Develop agentic AI workflows
- Develop backend APIs
- Implement RAG solutions
- Implement embeddings and vector search
- Integrate AI agents with enterprise systems
- Monitor LLM applications
- Perform model evaluation and monitoring
- Support LLMOps prompt and model management
Perks/Benefits
- Company-Paid Holidays
- Employee assistance programs
- Life and disability insurance
- Medical, dental, and vision coverage
- Paid time off
- Retirement savings plans
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 | Vector Databases | Vector Search | Weaviate
Education
N/A
Roles
AI Developer | Agentic AI Developer | Developer | GenAI Developer
Regions
Countries
States
Cities
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