Gen AI / Agentic AI Developer
Tasks
- Build LLM-powered applications
- Build backend APIs
- Create embeddings and vector search
- Create tool calling workflows
- Deploy and monitor GenAI applications
- Design multi-agent orchestration
- Develop agentic AI workflows
- Implement LLMOps monitoring logging and evaluation
- Implement RAG solutions
- Implement document ingestion pipelines
- Integrate AI agents with enterprise systems
- Manage prompts and model versions
Perks/Benefits
- N/A
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 | LLMOps | Langchain | Langgraph | Llama | Llamaindex | Microservices | Milvus | Mistral | Model Evaluation | OpenAI | OpenSearch | PGVector | Pinecone | Prompt engineering | Prompt versioning | 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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