AI Engineer / Data Engineer - Agentic AI
Tasks
- Apply responsible AI security and compliance best practices
- Automate deployment testing and maintenance
- Build RAG data architectures
- Collaborate to deploy AI solutions in production
- Create connectors for enterprise systems ERP CRM APIs
- Deliver proofs of concept for agentic AI capabilities
- Design knowledge bases and vector indexes
- Design scalable AI models
- Develop agent workflows with LangGraph LangChain Semantic Kernel AutoGen CrewAI
- Develop and maintain data pipelines ETL
- Ensure AI data quality governance security and traceability
- Evaluate integrate foundation models
- Implement observability monitoring and evaluation
- Integrate generative AI agent workflows
- Manage agent context memory and knowledge strategies
- Optimize LLM cost latency and performance
Perks/Benefits
- N/A
Skills/Tech-stack
APIs | Artificial Intelligence | Autogen | Cloud services | CrewAI | Data Governance | Data Pipelines | Data Security | ETL | GenAI | Indexing | Langchain | Langgraph | Language Models | Large Language Models | MLOps | Machine Learning | Monitoring | Observability | Python | RAG | Retrieval-Augmented Generation | Security Compliance | Semantic Kernel | Semantic indexing | Vector Databases | Vector Store
Education
Roles
AI | AI Engineer | Data Engineer | Engineer
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