GenAI / Agentic AI Developer
Tasks
- Build LLM-powered applications
- Build backend APIs
- Create embeddings and vector search
- Deploy and monitor GenAI applications
- Design multi-agent orchestration
- Develop RAG solutions
- Implement LLMOps monitoring and evaluation
- Implement agentic AI workflows
- Implement document ingestion pipelines
- Integrate AI agents with enterprise systems
Perks/Benefits
- Company-Paid Holidays
- Disability insurance
- Employee assistance program
- Life insurance
- Medical, dental & vision coverage
- 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 | CrewAI | Docker | Embeddings | Faiss | FastAPI | Flask | Gemini | Kubernetes | Langchain | Langgraph | Llama | Llamaindex | Microservices | Milvus | Mistral | OpenAI | OpenSearch | PGVector | Pinecone | Prompt engineering | Python | RAG | REST APIs | Semantic Kernel | Semantic Search | Vector Databases | Weaviate
Education
N/A
Roles
AI Developer | Agentic AI Developer | Developer | GenAI Developer
Regions
Countries
States
Cities
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