Gen AI / Agentic AI Developer
Tasks
- Build LLM-powered applications
- Build RAG solutions
- Build embeddings and vector search
- Create tool calling workflows
- Deploy GenAI applications
- Develop agentic AI workflows
- Develop backend APIs
- Implement LLMOps for evaluation and logging
- Implement document ingestion pipelines
- Implement multi-agent workflows
- Integrate AI agents with enterprise systems
- Manage prompts and model versions
- Monitor GenAI applications
Perks/Benefits
- Employee assistance programs
- Employee resource groups
- Flexible work
- Healthcare benefits
- Learning programs
- Mentoring and coaching
- Paid Holidays
- Paid parental leave
- Paid time off
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 | LLM | LLMOps | Langchain | Langgraph | Llamaindex | Microservices | Milvus | OpenAI | OpenSearch | OpenTelemetry | PGVector | Pinecone | Prompt engineering | Python | REST APIs | Reranking | Retrieval-Augmented Generation | Semantic Kernel | Semantic Search | Vector Databases | Weaviate
Education
N/A
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