Gen AI / Agentic AI Developer
Tasks
- Build LLM-powered applications
- Build backend APIs
- Create embeddings and vector search pipelines
- Deploy and monitor GenAI applications
- Design multi-agent workflows
- Develop RAG solutions
- Develop agentic solutions using agent frameworks
- Implement agent tool calling workflows
- Implement document ingestion pipelines
- Implement retrieval reranking pipelines
- Integrate AI agents with enterprise systems
- Support LLMOps for model evaluation and monitoring
Perks/Benefits
- 401k
- Disaster relief
- Employee resource groups
- Employee stock ownership plan
- Flexible work
- Healthcare
- Mentoring coaching and learning programs
- Paid parental leave
- Paid time off
Skills/Tech-stack
AI Search | API Integration | AWS Bedrock | Anthropic Claude | Autogen | Azure AI | Azure AI Search | Azure OpenAI | CI/CD | Chroma | Cost Tracking | CrewAI | Docker | Document ingestion | Embeddings | Faiss | FastAPI | Flask | Gemini | Kubernetes | LLMOps | Langchain | Langgraph | Llama | Llamaindex | Logging | Microservices | Milvus | Mistral | Model Evaluation | Monitoring | OpenAI | OpenSearch | OpenTelemetry | PGVector | Pinecone | Prompt engineering | Prompt management | 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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