GenAI / Agentic AI Developer
Tasks
- Add monitoring logging and observability
- Build multi-agent workflows
- Deploy and monitor GenAI applications
- Design and develop genai solutions
- Develop backend services and APIs
- Ensure security and access controls
- Generate embeddings and build vector indexes
- Implement LLMOps practices
- Implement document ingestion pipelines
- Integrate AI with enterprise systems
- Manage prompts and evaluations
- Optimize model cost
- Orchestrate agent workflows
- Perform reranking and retrieval
Perks/Benefits
- N/A
Skills/Tech-stack
AI Search | AWS Bedrock | Agent Orchestration | Agent systems | Anthropic Claude | Azure AI | Azure AI Search | Azure OpenAI | CI/CD | Chroma | Docker | Embeddings | Faiss | FastAPI | Flask | Gemini | Kubernetes | Language Models | Large Language Models | Logging | Microservices | Milvus | Model Evaluation | Monitoring | Multi-Agent | Multi-Agent Systems | Observability | OpenAI | OpenSearch | PGVector | Pinecone | Prompt engineering | Prompt management | Python | RAG | REST API | RESTful Services | Retrieval-Augmented Generation | Search databases | Semantic Search | Tool-Calling | Vector Databases | Vector Search | Vector indexing | Vector search databases | Weaviate
Education
Roles
AI | AI Engineer | Engineer | GenAI Engineer | Learning Engineer | Machine Learning Engineer
Regions
Countries
States
Cities
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